2b:I[349676,["/_next/static/chunks/0cl6uehw0enw3.js","/_next/static/chunks/3_6526nire2s6.js","/_next/static/chunks/0sionvc70biiq.js","/_next/static/chunks/34vs1gv113pnw.js","/_next/static/chunks/3wpd2zkry5i8e.js","/_next/static/chunks/2xlitpxgknj4d.js","/_next/static/chunks/3d86yrwyuv975.js","/_next/static/chunks/3d68de5d26hqc.js","/_next/static/chunks/1karddyjodb23.js","/_next/static/chunks/0jra3p7uo4paw.js","/_next/static/chunks/0exuabbx335_3.js","/_next/static/chunks/3vho_labywtbi.js","/_next/static/chunks/3fetwqu_xkhdr.js","/_next/static/chunks/2tz46qsvdi4_s.js","/_next/static/chunks/0eownduo8if6q.js","/_next/static/chunks/0t6wdu82lwsb6.js","/_next/static/chunks/0pj1uxlo662q1.js","/_next/static/chunks/3-_4lshzcl0_b.js","/_next/static/chunks/38p_c_gswi2y7.js","/_next/static/chunks/02-o2ucepmr15.js","/_next/static/chunks/2nmrd6y_krigz.js","/_next/static/chunks/3uj2kj3yj9qja.js","/_next/static/chunks/1ki-susjhwxg5.js","/_next/static/chunks/2var-d5nnd5s-.js","/_next/static/chunks/1pg9b9s_o-pkl.js","/_next/static/chunks/3bznnjt--6equ.js","/_next/static/chunks/2ki1ec-w7jmw9.js"],"default"] 28:["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Главная\",\"item\":\"https://www.workaem.com\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Вакансии\",\"item\":\"https://www.workaem.com/jobs\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Вакансии аналитика данных\",\"item\":\"https://www.workaem.com/jobs/l/analitik-dannyh\"}]}"}}] 2c:T1650,At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Data Analyst on the Finance team, you’ll play a pivotal role in uncovering the insights that shape company-wide planning, forecasting, and strategic decision-making. This high-impact role blends analytical rigor, technical fluency, and business acumen to steer strategy and identify opportunities for scalable growth. The Finance Data team partners with both Finance and other teams across Vanta. You’ll collaborate closely with stakeholders to build trust and deliver data-driven recommendations; your work will influence everything from operating plans and investment decisions to self-serve reporting and process automation. This is a unique opportunity to deepen your analytics expertise in a dynamic, high-growth environment, with visibility into executive-level priorities and the ability to shape them with data. What you’ll do as a Senior Data Analyst at Vanta: - Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions. - Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more. - Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows. - Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business. - Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights. How to be successful in this role: - Experience: 4+ years of experience in data analysis or equivalent function. Exposure to FP&A, Accounting, or SaaS metrics is a plus. - Technical Skills: Strong proficiency in SQL and data visualization tools (e.g., Tableau, Sigma), with experience handling large and complex data sets. Familiarity with DBT is preferred. Bonus points for skill in Python for advanced analysis. - Analytical Thinking: Proven ability to analyze complex data sets, uncover key insights, and translate findings into actionable strategies that drive financial outcomes. - Collaboration: Demonstrated success working cross-functionally and building relationships across business teams. Comfortable engaging stakeholders with varying levels of data fluency. - Communication: Clear and effective communicator, both written and verbal. Skilled at presenting complex data insights to non-technical audiences. - Education: Bachelor’s degree in Data Analytics, Statistics, Informatics, Finance, Economics, Business, or a related field. - Must be authorized to work in the U.S.. - Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact. What you can expect as a Vanta’n: - Industry-competitive salary and equity - Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans - 16 weeks paid Parental Leave for all new parents - Health & wellness stipend - Remote workspace, internet, and cellphone stipend - Commuter benefits for team members who report to the SF and NYC office - Family planning benefits - Matching 401(k) contribution with immediate vesting - Flexible PTO policy, plus 80 hours of Sick Time - 11 company-paid holidays - Virtual team building activities, lunch and learns, and other company-wide events! - Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remote At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. About Vanta We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent. Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf.2d:T16d5,Scale's Data Analytics team is centralized, embedding data analysts across delivery, operations, finance, and engineering to turn ambiguous problems into clear, actionable insights. As a Senior Data Analyst for Public Sector, you'll build analytics solutions from the ground up - partnering closely with cross-functional teams and leadership to solve complex problems, design dashboards, build tables, and perform ad-hoc analyses that shape how Scale runs and measures its Public Sector business. We're looking for someone who's relentlessly curious, comfortable owning ambiguity, and skilled at turning cross-functional relationships into sustainable, scalable analytics solutions. Active Secret U.S. security clearance required You will: • Own data quality for your domain - document models, troubleshoot discrepancies, and establish centralized metric definitions • Collaborate with cross-functional teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making • Develop repeatable, scalable analytical solutions, such as dashboards, data models, or standard processes • Partner with Ops to identify and track efficiency initiatives, measuring their impact on cost, quality, and delivery outcomes over time • Partner with Finance to analyze cost drivers across programs and help inform pricing strategy • Be willing to deepdive when needed and dig into the messy details to get to the root of a problem • Initiate and drive complex projects to completion with minimal guidance Ideally you'd have: • 6+ years of relevant work experience • Advanced SQL skills and experience building with data modeling tools (e.g. DBT) • Experience building dashboards and reports with BI tools (e.g. Tableau, Metabase) • Strong business acumen - comfortable partnering directly with cross-functional stakeholders • Excellent communication skills - able to translate technical analysis into clear, actionable narratives • Comfort with ambiguity in a fast-moving environment and able to make sound trade-offs • Active Secret U.S. security clearance is required; Top Secret U.S. clearance is preferred Nice to haves: • Familiarity working within air-gapped/federal environments and navigating their constraints • Prior experience supporting a Business Operations function, with exposure to process analytics or process mining (e.g. workflow optimization) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $182,400—$228,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.2e:T1cec,Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. With data and advanced analytics at the center of our people strategy, we are seeking an analytically driven People Analytics professional to join our People Analytics team. In this role, you will develop, optimize, and enhance data-driven insights across the employee lifecycle. You will partner closely with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver analytics that support strategic workforce planning, improve employee experiences, and enable informed business decisions. You will apply advanced analytics, predictive modeling, statistical techniques, and emerging AI capabilities to ¯solve complex workforce challenges. This role is ideal for someone who enjoys transforming data into actionable insights, collaborating across functions, and continuously advancing modern analytics practices within HR. Essential Duties and Responsibilities People Analytics & Insights • Analyze and report on the employee lifecycle—from hiring and onboarding through development and exit—by developing dashboards and reports that provide insights into hiring, attrition, engagement, performance, promotions, compensation, headcount, and organizational health. • Partner with People Business Partners, Talent Acquisition, Compensation, Finance, and other Centers of Excellence to deliver analytics supporting quarterly business reviews, workforce planning, and organizational effectiveness initiatives. • Design scalable reporting solutions and self-service dashboards that improve access to trusted workforce insights. • Collaborate with HR Technology and data teams to ensure data quality, governance, and consistency across people data platforms. • Translate business questions into analytical approaches and communicate findings through compelling visualizations and executive-ready presentations. Advanced People Analytics • Design, develop, and maintain predictive analytics models that help identify workforce trends, risks, and opportunities. • Apply advanced statistical techniques, including regression analysis, clustering, forecasting, survival analysis, and segmentation, to solve business problems. • Build and validate predictive models supporting areas such as: • Attrition prediction • Workforce forecasting • Employee lifecycle and tenure analysis • Hiring and talent pipeline analytics • Recommend data-driven solutions that improve workforce planning and organizational decision-making. Continuously evaluate emerging analytical methods and technologies to improve People Analytics capabilities. AI & Natural Language Processing (NLP) • Apply Natural Language Processing (NLP) techniques to analyze employee feedback from surveys, onboarding, exit interviews, and other listening channels. • Use topic modeling, sentiment analysis, and text analytics to identify emerging themes and actionable insights. • Explore and prototype Generative AI use cases that automate narrative reporting, summarize workforce trends, and enhance the delivery of people insights. • Partner with HR Technology and analytics teams to evaluate AI-enabled solutions that improve reporting efficiency and decision support while maintaining appropriate governance and data privacy standards. Qualifications Required • Bachelor's degree in Statistics, Data Science, Computer Science, Analytics, Economics, Mathematics, or a related quantitative field, or an equivalent combination of education and experience. • 5–8 years of experience in People Analytics, HR Analytics, Workforce Analytics, Data Science, or a related analytics discipline. Skills & Experience • Advanced proficiency in Tableau, Snowflake, Excel, SQL, and other enterprise HR platforms eg Workday, ServiceNow, Greenhouse. • Strong programming skills using Python and/or R for statistical analysis, predictive modeling, and automation. • Experience applying advanced statistical methods, including regression, clustering, forecasting, text analytics, and sentiment analysis. • Experience working with large, complex datasets and applying sound data management and governance practices. • Strong analytical thinking and problem-solving skills with the ability to translate complex findings into clear business recommendations. • Excellent data visualization and storytelling skills tailored to technical and non-technical audiences. • Proven ability to collaborate effectively with cross-functional stakeholders and influence decisions through data. • Familiarity with Generative AI, Natural Language Processing (NLP), and emerging AI technologies applied to analytics is preferred. • Strong communication, collaboration, and project management skills with the ability to manage multiple priorities in a fast-paced environment. Success in This Role Successful candidates will: • Deliver high-quality analytics that enable better workforce decisions. • Build scalable dashboards, predictive models, and AI-enabled insights that improve business outcomes. • Partner effectively across HR and business functions to solve complex workforce challenges. • Continuously identify opportunities to improve data quality, reporting, automation, and analytics capabilities. • Contribute to the ongoing evolution of People Analytics through innovation, technical expertise, and a strong customer-focused mindset. #P25728_3523399 #LI_Hybrid The Okta Experience • Supporting Your Well-Being • Driving Social Impact • Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.2f:T17c4,We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. This role may be performed remotely from any U.S. state except California, Connecticut, New Jersey, New York, and Washington. ABOUT THE ROLE We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy. In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment. ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for compliance and a catalyst for strategic decision-making. We combine technical depth with financial expertise to build scalable, high-value data solutions—transforming complexity into clarity and empowering leaders to act with confidence. ABOUT THE JOB • Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact. • Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables. • Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies. • Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models. • Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards. • Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets. • Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting. • Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics. ABOUT YOU Minimum Qualifications • Bachelor’s degree in a related field • 5+ years (7+ preferred) of experience in data analytics or analytics engineering roles • Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.) • Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability • Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive) • Strong communication skills with the ability to engage effectively across technical and non-technical teams Preferred Qualifications • Public company experience with exposure to SOX compliance • Background in high-growth technology environments • Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.) • Project management experience a plus • Demonstrated ability to support Finance and Accounting teams with scalable data solutions • Cloud cost management experience, ideally in an AWS environment • Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks) #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CO, DE, HI, IL, ME, MD, MA, NH, OR, PA, RI, TX, VT, VA, DC $144,000—$152,000 USD AL, AK, AZ, AR, FL, GA, ID, IN, IA, KS, KY, LA, MI, MN, MS, MO, MT, NE, NV, NM, NC, ND, OH, OK, SC, SD, TN, UT, WV, WI, WY $131,000—$138,000 USD30:T23fe,From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About This Role We’re hiring a Senior Data Analyst to support our People organization, using data to help Fivetran attract, develop, engage, and retain exceptional talent as we scale. You’ll work across the employee lifecycle — from recruiting and workforce planning to employee experience, learning and development, performance, and retention — turning complex people data into insights that shape how we build and support our teams. This is a high-impact, highly cross-functional role for someone who enjoys operating at the intersection of data, people, and strategy. You’ll partner closely with leaders across People, Recruiting, Finance, and the broader business to answer important organizational questions, develop scalable analytical frameworks, and improve how decisions are made. This is a full-time, flexible hybrid position based out of our Oakland, CA or NYC, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. There is no mandate on the number of days required but we encourage employees to come in every week to collaborate. Technologies You’ll Use • SQL (BigQuery / Snowflake) • dbt / dbt State • Looker / LookML • Sigma / Hex / Google Sheets • Claude Code / Codex • HRIS, ATS, and other People systems and data sources What You’ll Do • Define and own our core People metrics. Establish clear definitions and reporting across areas such as headcount, hiring, retention, organizational health, employee experience, and talent development. • Build scalable analytical products. Create canonical datasets, models, and self-service tools and dashboards that enable People teams and leaders to answer important questions quickly and consistently. • Serve as a trusted thought partner. Translate analyses into clear narratives and recommendations for audiences ranging from functional operators to senior executive leadership. Work closely with our Engineers to improve Fivetran's own HRIS and ATS connectors. • Set a high bar for responsible People Analytics. Help establish strong practices around data quality, integrity, governance, privacy, appropriate access, and the responsible use of sensitive employee data. • Turn people data into decisions. Analyze complex and disparate datasets to identify trends, surface opportunities, and provide actionable recommendations to People leaders and business stakeholders. • Shape our analytics culture. Mentor other analysts and partners, establish analytical best practices, and help People teams develop stronger data fluency and decision-making habits. Skills We’re Looking For • 5+ years of experience in analytics, data science, business intelligence, or a related analytical role • Advanced proficiency in SQL and data modeling, with experience working across large, complex datasets • Experience using Looker, Tableau, Sigma, or similar business intelligence and visualization tools • Strong analytical judgment and a track record of translating ambiguous business questions into structured analyses and actionable recommendations • Exceptional attention to detail and a high bar for data quality, analytical rigor, and reproducibility • Excellent communication and data storytelling skills; you can make complex findings intuitive and help decision-makers understand not just what is happening, but why it matters and what to do next • Comfort operating in ambiguity, developing hypotheses, and owning analytical problems end-to-end • Strong cross-functional instincts and the ability to build trusted relationships with both technical and non-technical partners • A builder mindset: you look beyond answering one-off questions and create frameworks, datasets, and tools that make future decisions faster and better • Passion for using data to improve how organizations attract, develop, and support their people • Experience using analytics to support key business decisions, preferably at a high-growth, SaaS, or B2B product company Bonus Skills • Experience in People Analytics, workforce analytics, recruiting analytics, HR strategy, or another People-related analytical function • Familiarity with HRIS, ATS, performance management, engagement, or learning systems #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $156,082—$195,102.50 USD Perks and Benefits • 100% employer-paid medical insurance* • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off • RSU stock grants* • Professional development and training opportunities • Company virtual happy hours, free food, and fun team-building activities • Monthly cell phone stipend • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. *May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes. Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here. We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.31:T146b,Мы ищем аналитика данных, который поможет команде превращать большие объёмы данных о поведении клиентов и операциях в работающие антифрод-решения. При этом зона ответственности существенно шире криптовалют: предстоит исследовать всю экосистему операций Сбербанк Онлайн, находить взаимосвязи между продуктами и каналами и помогать выявлять мошенничество на ранних этапах Перед командой стоит более широкая задача: научиться видеть мошенничество как единый сценарий, который может начинаться в одном продукте, продолжаться в другом и завершаться криптовалютной операцией или наоборот. Поэтому в работе будут данные и сценарии из разных частей Сбербанк Онлайн, а результаты вашей аналитики напрямую будут влиять на правила, модели и клиентские решения Антифрода. Обязанности: • Анализировать большие массивы данных о клиентах, операциях и их поведении. • Исследовать криптовалютные операции и выявлять признаки мошеннического поведения. • Искать связи между криптовалютными операциями и другими действиями клиента в Сбербанк Онлайн. • Выявлять аномалии, нетипичные клиентские сценарии и новые паттерны мошенничества. • Строить аналитические витрины, метрики и мониторинги для антифрод-команды. • Разрабатывать и проверять гипотезы по новым признакам фрода. • Оценивать качество и эффективность антифрод-правил и моделей. • Анализировать false positive / false negative и искать баланс между безопасностью и удобством клиента. • Проводить post-analysis мошеннических кейсов и находить признаки, которые могли бы позволить обнаружить их раньше. • Исследовать клиентские пути и определять, на каком этапе эффективнее всего поставить профилактический контроль. • Участвовать в разработке новых антифрод-моделей и алгоритмов совместно с ML-командами и фрод-аналитиками • Автоматизировать регулярный анализ и мониторинг показателей. • Формировать аналитические выводы и рекомендации для продуктовых и антифрод-команд. Требования: • уверенный SQL; • Python и инструменты анализа данных; • опыт работы с большими объёмами данных; • опыт в антифроде, банковской аналитике, платежах или финансовом мониторинге; • понимание статистики и A/B-тестирования; • опыт работы с ML-моделями будет преимуществом; • интерес к криптовалютам, блокчейну и новым финансовым технологиям. Условия: • Комфортный современный офис (ст.м.Кутузовская) • ежегодный пересмотр зарплаты, годовая премия • корпоративный спортзал и зоны отдыха • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития • программа адаптации и помощь руководителя на старте • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ • бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров • вознаграждение за рекомендацию друзей в команду Сбера.32:T11d2,Команда Дивизиона «Розничное взыскание и урегулирование» в поиске аналитика данных, который будет заниматься портфельным анализом по направлению «Малый и микро бизнес» Портфельный анализ включает в себя факторный анализ, мониторинг процессов, поиск аномалий, комплексную клиентскую и сегментную аналитику. Обязанности: • выполнение полного цикла аналитических работ, включая сбор, обработку, анализ и визуализацию данных • проведение глубокого факторного анализа структуры портфеля, ключевых метрик, трендов и корреляций, составление аналитических справок и отчетов для руководства • мониторинг ключевых показателей эффективности процессов, обнаружение отклонений и аномалий, анализ их воздействия на общие показатели • осуществление комплексной клиентской аналитики, сегментация клиентов, создание профилей клиентов, исследование клиентских путей и разработка предложений и рекомендаций по работе с различными сегментами клиентов • прогнозирование метрик портфеля, включая выполнение ключевых показателей эффективности (КПЭ) и других статистических метрик; • обеспечение взаимодействия между командами разработки, бизнеса и другими заинтересованными сторонами для определения потребностей и реализации решений на основе данных. Требования: • опыт работы в сфере аналитики данных не менее 2 лет • excel для отчётности и аналитики (сводные таблицы, ВПР, внешние источники) • продвинутый уровень SQL (сложные JOIN, оконные функции, оптимизация запросов), опыт работы с реляционными СУБД (Postgres, Greenplum) либо на стеке Hadoop • отличное знание Python и библиотек анализа данных (pandas, numpy, matplotlib или аналоги) • знание основ статистики и методов математического анализа данных • умение ясно доносить сложные выводы до бизнеса Будет плюсом: • опыт работы с сегментом «Малый и микро бизнес» • навыки визуализации данных в том числе, используя BI-инструменты. Условия: • омфортный современный офис рядом с м. Кутузовская • офисный формат работы • ежегодный пересмотр зарплаты. Годовая премия • корпоративный спортзал и зоны отдыха • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития • программа адаптации и помощь руководителя на старте • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ • бесплатная подписка Прайм с возможностью совместного использования на трёх близких • вознаграждение за рекомендацию друзей в команду Сбера.33:T1719,

Мы команда CORE-аналитики в штабе CX, выстраиваем работу с данными по характеристикам и действиям клиентов банка.

Ключевая роль данной позиции – создать и поддерживать слой данных (сырые данные → агрегированные → слой метрик) для работы дата аналитиков и автоматизации поставки данных в BI.

Мы ищем человека, который: писал скрипты по расчёту метрик, процедуры и пайплайны обновления данных на SQL+Python — и при этом хорошо понимает бизнес-смысл того, что считает.

Обязанности

проектирование и разработка аналитического слоя: архитектура DWH, модели данных для Greenplum и Hadoop, разработка и поддержка SQL-скриптов для расчёта продуктовых и клиентских метрик, создание новых расчётов метрик «под ключ»
автоматизация и оркестрация: разработка Airflow DAG, оптимизация пайплайнов, автоматизация рутинных ETL-операций (трансформации, загрузки, очистка, отчёты)
качество и валидация данных: внедрение DQ-проверок (аномалии, null, типы, логические противоречия), построение мониторинга качества
поддержка, масштабирование и документация: сопровождение ETL и витрин, расширение системы под новые источники/метрики, документирование архитектуры, трансформаций и бизнес-правил
аналитическая составляющая: понимание смысла метрик, поиск инсайтов, клиентская аналитика (сбор, группировки, выводы, документирование), сотрудничество с BI-командой
обмен знаниями: передача знаний смежным аналитикам, разработка best practices для команды.

Требования

продвинутый SQL: опыт написания больших сложных скриптов по расчёту метрик, процедур и пайплайнов обновления данных на SQL; уверенная оптимизация запросов и работа с большими объёмами (window functions, CTE, сложные джойны, агрегации)
опыт построения ETL/ELT-пайплайнов от 2 -х лет
опыт работы с Airflow или аналогами
уверенный Python (pandas, numpy, генераторы, ООП)
опыт работы с OLAP-хранилищами (Greenplum, ClickHouse, Vertica и пр.) и Hadoop-экосистемой (Spark, Hive, HDFS), понимание spark-конфигураций
понимание концепций DWH (витрины, измерения, факты, нормализация)
базовые знания DQ-проверок и валидации данных
владение Git
навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом
опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки
статистика и математика: проверка гипотез, нормальное распределение, базовые статистические тесты
A/B-тестирование: теория, интерпретация результатов, проектирование
клиентская аналитика: сегментация, портреты пользователей, когортный анализ, расчёт retention/churn
способность находить инсайты в данных и объяснять их бизнесу.

Условия

комфортный современный офис рядом с м. Кутузовская
формат работы - офис
ежегодный пересмотр зарплаты, годовая премия
корпоративный спортзал и зоны отдыха
более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
вознаграждение за рекомендацию друзей в команду Сбера.

34:T1296,

Мы создаем прорывные цифровые сервисы для предпринимателей и бизнеса, которые получили признание престижных мировых премий, таких как Global Finance Best Digital Bank, Red Dot Award и других. Среди наших проектов – интернет-банк СберБизнес, мобильное приложение, экосистема нефинансовых сервисов и другие.

Для нас важно создавать лучший клиентский опыт для наших пользователей, которые смогут быстро и удобно решать свои задачи. Для этого мы ищем опытного и целеустремленного аналитика, который усилит нашу команду компетенциями по созданию и внедрению системы продуктовых метрик и метрик обратной связи клиентов.

Для тебя это уникальный шанс влиять на ежедневную деятельность более чем 3-х млн юридических лиц и индивидуальных предпринимателей

Обязанности

разработка и развитие системы аналитики: выстраивание сквозной системы сбора данных и метрик для портфеля из бизнес-продуктов
аналитическая поддержка: автоматизация отчётов таким образом, чтобы количество ручных ad-hoc запросов постоянно сокращалось
исследования и проверка гипотез: поиск инсайтов в данных, проверка продуктовых гипотез с помощью A/B тестов и других методов
UX-анализ и оптимизация: анализ пользовательского опыта, выявление точек роста и формирование предложений по улучшению интерфейсов и оптимизации клиентских путей
визуализация данных: подготовка наглядных дашбордов и презентаций для демонстрации результатов исследований команде и бизнесу
взаимодействие с UX-исследователями: совместная работа с UX-исследователями при формулировании и валидации гипотез.

Требования

высшее образование: экономическое / техническое
хорошие устные / письменные коммуникации, и презентационные навыки;
работа с продуктовыми agile-командами
наличие самостоятельно реализованных, успешных проектов по внедрению системы продуктовых метрик в крупных компаниях(Крупные банки + финтех)
хорошее понимание целей и задач анализа данных и продуктового анализа
владение ПО: Google Analytics, Google Data Studio, Яндекс.Метрика
BI-системы
Excel, SQL, Python, PowerPoint
умение работать в команде
английский язык не ниже intermediate.

Условия

стабильный оклад и социальная поддержка сотрудников
официальное оформление
расширенный ДМС с первого дня и льготное страхование для близких
корпоративное обучение в Виртуальной школе Сбера
бесплатная подписка СберПрайм+ и скидки на продукты компаний-партнеров
корпоративная пенсионная программа
гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ.

35:Tada,THE ROLE At Candid Health, we’re searching for a Data Analyst to help us enhance efficiency, product scalability and operational decision making. You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. WHAT YOU’LL DO - Perform Critical Data Analysis for a Broad Range of Stakeholders: Build analytics, and visualizations for varying use cases. Play an influential role in delivering the insights that Candid Health uses to inform our business strategies - Enable Self Serve Solutions to Internal Teams: Deliver internal products that make our teams more more efficient and self reliant through improved tooling and operational workflows - Build High Value Data Products: Data Analysis is in the critical path of value for Candid Customers. Build robust, scalable data models for Candid clients. - Own BI Platform Implementation: Maintain reporting and visualization platforms to keep data accurate, accessible, and available WHO YOU ARE - You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science - You have 4+ years of experience working with data at scale, performing analysis, ETL, and process automation - You have 3+ years of hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift - You have a strong understanding of SQL and have used it in complex data environments - You have a deep understanding of how different users leverage data and are able to build the right insights and tools for them - You thrive in ambiguity and enjoy tackling complex tasks that have significant impact on the business at large - You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing. - Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT. PAY TRANSPARENCY The estimated starting annual salary range for this position is $135,000 to $180,000 USD. The listed range is a guideline from Pave https://www.pave.com/ data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles36:T59d,Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws37:Tef6,

Задачи:

Извлечение данных из различных источников;

Обработка и подготовка данных для анализа;

Проведение глубокого анализа данных для выявления тенденций и инсайтов;

Использование статистических методов для интерпретации данных;

Разработка визуализаций и дашбордов для представления данных в понятном формате;

Подготовка регулярных отчетов для заинтересованных сторон;

Автоматизация отчетности и аналитических процессов для повышения эффективности;

Предоставление аналитических рекомендаций для улучшения бизнес-процессов.

Мы ожидаем от кандидата:

Образование:

Степень в области информатики, статистики, экономики или смежных дисциплин.

Опыт работы:

От 3 лет опыта в области анализа данных.

Технические навыки:

Уверенное владение SQL для создания сложных запросов и оптимизации процессов;
Опыт работы с большими наборами данных;
Опыт работы с инструментами визуализации данных (Power BI).

Аналитические и профессиональные навыки:

Умение применять базовые статистические методы и проводить анализ данных;
Понимание бизнес-процессов и способности анализировать их для оптимизации и принятия решений;
Способность представлять результаты анализа и визуализации понятным и доступным языком для заинтересованных сторон;
Умение работать в команде, критическое мышление и проактивный подход к решению задач.

Что мы предлагаем:

Профессиональный коллектив;
Возможность работать над проектами, приносящими пользу для тысяч людей;
Неограниченный рост;
Комфортный офис в центре города;
Скидки на фитнес, обучение английскому языку, подарки на праздники и дни рождения;
Бонусы и уникальные предложения от компаний холдинга;
Спонсирование профессионального обучения;
Насыщенная корпоративная жизнь с выездами на природу, праздничными мероприятиями в офисе, играми и розыгрышами подарков.

38:Ta56,Описание: Мы ищем в команду управления продаж и обслуживания аналитика данных с опытом работы с розничным бизнесом во внутреннем аудите, комплаенс или безопасности. Обязанности: • выгрузка и анализ транзакционных данных розничных клиентов из АС Банка через SQL/Python • поиск отклонений, нетипичных паттернов и признаков неправомерных действий сотрудников/клиентов • формирование доказательной базы по итогам проверок, участие в служебных расследованиях. Требования: • от 3 лет опыта в анализе банковских данных, из них минимум 1–2 года — во внутреннем аудите розницы • продвинутый SQL (оконные функции), Python (pandas) / R, продвинутый Excel (Power Query) • Гглубокое знание продуктов и понимание принципов SoD. • высокий уровень этики и готовность работать с конфиденциальными данными Будет преимуществом: Сертификаты CIA/CFE, опыт настройки антифрод-моделей. Условия: • комфортный современный офис на Кутузовском, 32 • корпоративный спортзал и зоны отдыха • уникальная система обучения Сбера для профессионального и карьерного развития, семинары, тренинги, конференции • программа адаптации и помощь руководителя на старте • ДМС, страхование от несчастных случаев, социальные гарантии • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ • подписка Прайм с возможностью совместного использования на трёх близких. • вознаграждение за рекомендацию друзей в команду Сбера • корпоративная пенсионная программа • корпоративные мероприятия39:Te3a,

Ключевые функции:

Выполнение ad-hoc запросов по анализу клиентской базы.
Подготовка и автоматизация отчетности по клиентам.
Разработка иерархии и пирамиды клиентских метрик.
Расчет и мониторинг ключевых клиентских метрик.
Проведение клиентских исследований и выявление ключевых драйверов роста активной клиентской базы.
Расчет инкремента от внедрения инициатив по развитию и удержанию клиентской базы.
Запуск A/B тестов и подведение их итогов.
Взаимодействие с заказчиками и презентация полученных результатов.

Наши ожидания:

Отличное знание SQL (вложенные запросы, оконные функции, CTE, сложные join-ы, SQL-процедуры).
Опыт анализа реальных данных на Python (pandas, numpy, statsmodel, scipy, scikit-learn, retentioneering).
Опыт решения ad-hoc запросов в сфере аналитики и анализа данных.
Опыт работы с одной из BI-систем: MS Power BI / Tableau / Qlik Sense / Data Lens / Apache Superset.
Уверенное владение MS Excel и MS PowerPoint.
Опыт взаимодействия с заказчиками и умение презентовать результаты анализа.
Базовые знания и владение основными инструментами математической статистики.
Опыт работы с Oracle будет преимуществом.

Что мы предлагаем:

Разные форматы работы: офис/гибрид/удаленка.
Гибкое утро: можно выбрать старт начала рабочего дня в 8, 9 или 10 утра.
Участие в проекте кафетерия льгот (ДМС, спорт, мобильная связь, обучение, впечатление(отдых за городом).
Обучение и развитие (как внутреннее, так и внешнее) + корпоративные скидки на Skyeng, Lerna (Skillbox, Geekbrains), Яндекс Практикум, Language Link, Novakid.
Скидка на питание в офисе компании.
Корпоративная скидка на товары компании.
BestBenefits – сервис персонализированных скидок и привилегий.
Программа лояльности - льготные тарифы в фитнес-центры (World Class, X-fit, Fitmost), скидка на медицинские услуги KDL и Gemotest, специальные условия от банков-партнеров и мобильная связь (Мегафон и Билайн), бронирование отелей Отелло и многое другое.
Паркинг (через бронирование).

3a:T7e1,

Мы находимся в поиске Аналитика данных в Департамент управления данными.
Наша команда Дата-офиса отвечает за роботизацию ключевых процессов компании через монетизацию данных и встраивание новых технологий принятия решений (в т.ч. ИИ).

Чем предстоит заниматься:

Помогать продуктовой команде с поиском ответов на их вопросы;
Исследовать существующие бизнес-процессы и выявлять точки роста;
Проводить A/B-тесты, от проектирования дизайна эксперимента до оценки результатов;
Визуализировать результаты в наглядной форме.

Мы ждём от будущих коллег:

Опыт работы аналитиком данных;
Аналитический склад ума, желание самостоятельно улучшать продукт и работать без четкого ТЗ;
Знание SQL: подзапросы, объединения, агрегации, аналитические функции;
Опыт работы в agile командах будет преимуществом;
Опыт работы с Python от 1 года;
Высшее образование.

Наш стек технологий:

В разработке используем: Python, Spark, Oracle SQL, Hadoop, AirFlow, Tableau;
Для организации работы: Jira, Confluence, Miro, Git.

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