Intetics·Kazakhstan, Remote·14 сент.
1160 | Middle Data Analyst
Ориентир по рынку≈ 655 000 – 1 549 000 ₽наш грубый ориентир по 199 вакансиям этого грейда на рынке, без учёта специальности: у работодателя вилка не указана
🌍 УдалённоMiddleПолная занятость🌐 Глобал
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Вакансия на английскомПереведёт заголовок и описание вакансии на русский
Наша компания
Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Middle Data Analyst to join our team and provide exceptional customer support. Position Overview
О роли
We are looking for a skilled Data Analyst to transform complex datasets into clear, actionable insights that support data-driven decision-making across the organization. This position combines statistical and quantitative analysis, data visualization, research, and stakeholder communication. The ideal candidate can identify meaningful trends, validate analytical results, and clearly explain findin
Наши требования
Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or another quantitative field
At least 3 years of professional experience in data analysis, business intelligence, or a related role
Strong knowledge of statistics and quantitative analysis
Advanced SQL skills and experience working with large datasets
Strong proficiency with at least one data visualization platform, such as Power BI or Tableau
Proficiency in Python, R, or another statistical programming language
Experience creating dashboards, reports, and analytical presentations for different stakeholder groups
Excellent written and verbal communication skills, with the ability to explain complex findings in clear, practical language
Master’s degree in a quantitative field
Experience with cloud data platforms such as AWS, Microsoft Azure, or Google Cloud Platform
Understanding of machine learning concepts and their practical applications
Experience with A/B testing and experimental design
Familiarity with data governance and data quality practices
Experience using AI tools to improve research, analysis, documentation, or quality-assurance workflows
Statistical analysis: regression, hypothesis testing, probability distributions, simulations, and time-series analysis
Programming and querying: Python, R, SQL
Python libraries: pandas, NumPy, scikit-learn
Data visualization: Power BI, Tableau, matplotlib, ggplot2, or similar tools
Data tools: advanced Excel, Jupyter Notebook, Git
Databases: SQL Server, PostgreSQL, MySQL, or comparable relational databases
Дополнительно
Analyze large and complex datasets using statistical and quantitative methods
Validate analytical outputs, identify anomalies and outliers, and distinguish meaningful issues from normal variability
Translate analytical findings into practical recommendations for customers and internal stakeholders
Support business decisions with clear, evidence-based insights
Design and develop dashboards, reports, and visualizations that make complex information easy to understand
Adapt reporting formats and levels of detail for different audiences, from executive summaries to detailed analytical reports
Monitor dashboards and reports to ensure their accuracy as data sources, business rules, and system configurations change
Present analytical findings clearly to technical and non-technical stakeholders
Research relevant datasets, industry benchmarks, and external context to support customer questions and internal decision-making
Assess data quality and investigate inconsistencies or unexpected results
Use AI tools to accelerate research, summarize findings, prepare documentation, and support analytical and quality-assurance workflows
Stay informed about relevant analytical tools, data sources, methodologies, and industry best practices