Data Analyst

We are seeking a Data Analyst to turn data into actionable insights that support business strategy and product decision-making. This role involves deep analytical work, dashboard development, and close collaboration with cross-functional teams to drive a data-driven culture. Requirements Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related STEM field. 3–5 years of experience in data analytics, product analytics, data science, or a related role. Strong proficiency in SQL and Python/R for data analysis and data preparation. Hands-on experience with BI tools such as Power BI, Tableau, or Looker. Solid understanding of statistical and analytical techniques including EDA, descriptive and inferential statistics, RFM segmentation, and cohort analysis. Experience working with large structured and semi-structured datasets. Strong communication, storytelling, and business acumen. Familiarity with data warehousing, ETL/ELT tools (e.g., DBT, Pentaho, Airflow), and Agile environments is a plus. Responsibilities Conduct deep-dive analyses on business questions and performance metrics (regular and ad-hoc) to generate actionable insights aligned with strategic goals and OKRs. Design, develop, and maintain dashboards using BI tools, applying best practices in data visualization and storytelling. Collaborate with business stakeholders, product managers, and data engineers to ensure analytics outputs meet product and project objectives. Deliver high-quality reports, dashboards, and analytical insights. Communicate insights clearly to both technical and non-technical audiences and support a data-driven culture. Develop and maintain data marts to support scalable, self-service BI solutions.