Senior Data Analyst (with PowerBI)

4+ years of experience as a Data Analyst. Strong proficiency in SQL. Hands-on experience with Power BI. Practical knowledge of Python for data manipulation and analysis. Advanced Excel skills (pivot tables, functions, power queries). Understanding of statistical methods: regression, forecasting, clustering, hypothesis testing. Experience conducting comprehensive market research and price studies. Ability to translate research findings into actionable insights and strategic recommendations. Ability to apply quantitative analysis techniques to assess market trends, pricing strategies, and competitive landscapes. Familiarity with advanced statistical methods and strong ability to present complex analytical findings through clear visualizations. Strong analytical and critical thinking abilities. Clear communication skills. High attention to detail and strong data accuracy discipline. Ability to manage multiple tasks and work independently. English Upper-Intermediate +

Analyze business, market, or operational datasets to identify trends, risks, and opportunities. Conduct statistical analyses, forecasting, segmentation, and performance evaluations. Perform market research and competitive benchmarking. Provide actionable insights and recommendations to stakeholders. Develop and maintain dashboards and automated reports in Power BI. Build clear and intuitive visualizations that communicate data insights effectively. Ensure reporting accuracy and consistency. Support decision-making through ad-hoc analyses, KPI tracking, and business case creation. Collaborate with cross-functional teams to identify analytical needs and deliver solutions. Extract and prepare data using SQL and Python (Pandas, basic data wrangling). Clean, standardize, and transform datasets from multiple sources. Maintain documentation for analytical methods, dashboards, and recurring reports.