Intetics

data analyst for organizational decision-making

In short

Роль data analyst в американской технологической компании Intetics: анализ больших и сложных датасетов, применение статистических методов (регрессия, проверка гипотез, временные ряды), разработка дашбордов и отчётов, презентация выводов техническим и нетехническим стейкхолдерам. Требуется от 3 лет опыта в анализе данных или BI, продвинутый SQL, опыт с Power BI/Tableau и знание Python или R. Формат работы — удалённо, полная занятость на долгосрочной основе.

Описание
Intetics Inc. is an American technology company specializing in custom software application development, distributed professional teams, software product quality assessment, and digital solutions.
Задачи
•Analyze large and complex datasets using statistical and quantitative methods
•Apply regression analysis, hypothesis testing, probability analysis, simulations, and time-series analysis to identify patterns and explain trends
•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
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
Nice to have: a 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, knowledge of regression, hypothesis testing, probability distributions, simulations, and time-series analysis, Python, R, SQL, pandas, NumPy, scikit-learn, Power BI, Tableau, matplotlib, ggplot2 or similar tools, advanced Excel, Jupyter Notebook, Git, SQL Server, PostgreSQL, MySQL or comparable relational databases.
Условия
This is a full-time, long-term position with an immediate start.

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