Key Responsibilities
Data Extraction & Querying: Write complex, optimized SQL queries to extract, clean, and manipulate large datasets from multiple data warehouses.
Dashboard & Report Creation: Design, develop, and maintain automated dashboards and interactive reports using tools like Tableau or Power BI.
Statistical Analysis: Analyze historical data and current trends to identify correlations, anomalies, and optimization prospects.
Cross-Functional Collaboration: Partner with department leaders to define Key Performance Indicators (KPIs) and translate business questions into analytical projects.
Data Governance & Quality: Monitor data integrity, perform regular data validation, and assist in maintaining clean, accurate master databases.
Insight Delivery: Present complex analytical findings clearly and concisely to both technical and non-technical stakeholders.

Skills and QualificationsRequired Technical Skills
Proven skilled experience working as a Data Analyst, Business Intelligence Analyst, or in a similar quantitative role.




Advanced proficiency in SQL (structured query language) for data extraction and manipulation.
Extensive hands-on experience with Data Visualization tools (e.g., Tableau, Power BI, QlikView, or Looker).
Solid working knowledge of spreadsheet software, specifically advanced Microsoft Excel (VLOOKUPs, Pivot Tables, Macros).
Familiarity with data analysis languages such as Python (Pandas, NumPy) or R for statistical modeling.
Solid understanding of data warehousing concepts and ETL (Extract, Transform, Load) processes.

Preferred Qualifications
Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Finance, or a related quantitative field.
Experience working with cloud data platforms (e.g., Snowflake, Google BigQuery, AWS Redshift).
Basic understanding of predictive modeling, machine learning concepts, or A/B testing methodologies.

Soft Skills
Exceptional problem-solving skills

📌 Data Analyst Electronic City (India)
🏢 Scope
📍 India