Data Analyst.

About the role – The Data Analyst will join our on‑site analytics team to turn raw data into actionable insights that drive business decisions. You will work closely with stakeholders across departments, delivering clear visualizations and robust statistical analyses.

Key responsibilities

• Extract, transform, and load data from multiple sources using advanced SQL queries.
• Develop and maintain automated reporting pipelines in Python and Excel.
• Create interactive dashboards and visualizations in Tableau to support strategic initiatives.
• Perform statistical analysis and hypothesis testing to uncover trends and anomalies.
• Design and document data models that ensure data integrity and scalability.
• Collaborate with business units to define metrics, KPIs, and data requirements.
• Present findings to senior leadership in clear, concise formats.

Required qualifications

• 2–17 years of professional experience in data analysis or a related field.
• Proficiency in SQL (complex joins, window functions, CTEs).
• Strong Python skills for data manipulation (pandas, numpy) and statistical modeling.
• Advanced Excel expertise, including pivot tables, Power Query, and VBA.
• Hands‑on experience building Tableau dashboards and visualizations.
• Solid understanding of statistical methods and data modeling principles.

Nice to have

• Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
• Familiarity with version control (Git) and CI/CD pipelines for analytics.
• Knowledge of additional visualization tools such as Power BI or Looker.
• Background in a specific industry (e.g., finance, healthcare, e‑commerce) that aligns with our business.