Head of Analytics / Analytics Manager

Details

1. Requirements

   • Higher education in IT, Computer Science, Mathematics, Finance, or related field

   • 3+ years of hands-on experience with Power BI

   • Strong and practical knowledge of DAX

   • 3+ years of experience with SQL and building complex queries

   • 1+ year of experience with Python (for data processing / automation / ETL tasks)

   • Experience connecting to external systems via APIs

   • Solid understanding of data modeling and BI best practices

   • Experience working with large datasets

   • English level: B1 or higher

2. Responsibilities

   • Design, build, and maintain Power BI dashboards and reports for company management and business stakeholders

   • Own and manage global data sources, including:
     – HRM system;
     – Time tracking system;
     – Agent schedules and workforce data;

   • Fully build and support reporting and data logic for the company’s main project, ensuring data accuracy and consistency

   • Implement reporting for new projects, including:
     – Connecting to new data sources o Integrating data via APIs;
     – Creating new dashboards and data models;

   • Develop and improve data models and DAX calculations in Power BI

   • Write and optimize SQL queries and data transformations

   • Participate in the development of Microsoft Fabric capabilities within existing processes

   • Coordinate implementation of ML / forecasting solutions together with external vendors

   • Lead and manage a small team: Reporting & Data Analyst and Operational Analyst

   • Define priorities, distribute tasks, and review results

   • Ensure documentation, stability, and reliability of reporting solutions

   • Collect, process, and analyze Customer Experience (CX) data (CSAT, NPS, CES, QA scores, customer feedback, complaints, etc.)

   • Build CX dashboards and analytical views to monitor service quality and customer satisfaction

3. We offer

   • Opportunity to build and shape the analytics function

   • Direct impact on management decision-making

   • Participation in AI-driven analytics transformation

   • Full-time employment

   • Professional growth in a fast-scaling company

   • Supportive team and friendly, young work environment