Responsibilities
•Collect, clean and prepare data from corporate sources; run data-quality checks and align to master references.
•Build and maintain regular and ad-hoc reports and dashboards in Power BI / HTML; automate refresh and validate accuracy.
•Analyse sales, customers and assortment (ABC-XYZ, RFM, structure and dynamics) and turn findings into clear conclusions for the business.
•Gather and formalise business requirements, write specifications and describe processes (BPMN).
•Run targeted calculations and what-if comparisons; prepare and present findings to support decisions.
•Automate repetitive calculations and reports with SQL / Python scripts and templates to cut manual effort.
•Partner with internal stakeholders to translate business questions into well-scoped analytical tasks.
•Ensure consistency and correctness of metrics and definitions across reports.
•Document data flows, report logic and analytical methods.
•Support and train users on reports and self-service analytics.
•Contribute to continuous improvement of analytical processes and standards.
•Continuously develop skills in data, BI and business analysis.
Requirements
•2–4 years in business and/or data analysis or a related analytical role.
•Strong SQL and confident work with BI tools (Power BI / HTML); advanced Excel.
•Solid data-preparation and data-quality fundamentals; Python (pandas) is a plus.
•Proven commercial, sales or process analytics (segmentation, reporting, dashboards).
•Ability to translate business questions into analysis and communicate results clearly.
•Higher education in economics, management, IT, mathematics or statistics.
•Languages: Russian C2; English B2 (professional working proficiency).
Conditions
•5/2 schedule, 21 calendar days of vacation.
•Salary discussed based on interview results.
