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., * 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.

Data Analysis, Data Analysis, Statistics, SQL (Structured Query Language), Database Extract Transform and Load (ETL), Python Programming/Scripting Language, Reporting Dashboards, Strategic Planning, Tableau, Trend Analysis, * 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.