Data Analyst.

About the role – The Data Analyst will turn raw data into actionable insights that drive business decisions. Working on‑site, you will collaborate with cross‑functional teams to design dashboards, perform statistical analyses, and support data‑driven strategies.

Key responsibilities

• Develop, maintain, and optimize interactive Power BI reports and dashboards for stakeholders.

• Write efficient SQL queries to extract, transform, and load data from relational databases.

• Perform data cleaning, validation, and enrichment to ensure high‑quality datasets.

• Conduct statistical analysis and exploratory data analysis to identify trends and anomalies.

• Create visualizations that clearly communicate complex findings to non‑technical audiences.

• Collaborate with business units to define metrics, KPI tracking, and reporting requirements.

• Support ad‑hoc analytical requests and contribute to data‑driven decision making.

Required qualifications

• 2–10 years of experience in data analysis or a related field.

• Proficiency in Power BI, SQL, and advanced Excel functions.

• Strong foundation in statistical analysis and data visualization principles.

• Demonstrated ability to clean, transform, and model large datasets.

• Experience applying machine‑learning concepts to business problems.

• Excellent communication skills and the ability to translate technical results into business insights.

Nice to have

• Familiarity with Python or R for advanced analytics.

• Knowledge of cloud data platforms (e.g., Azure, AWS, GCP).

• Experience with version control systems (e.g., Git).

• Background in a specific industry such as finance, healthcare, or retail.