Key Responsibilities

- Collect, clean, transform, and analyze large and complex datasets from multiple sources.

- Write optimized and complex SQL queries for data extraction, transformation, aggregation, and analysis.

- Use Python for data analysis, automation, statistical analysis, and data processing.

- Work with GCP services such as BigQuery, Cloud Storage (GCS), and other relevant cloud data services.

- Develop and maintain analytical datasets, data models, and reporting solutions.

- Identify trends, patterns, anomalies, and business opportunities from data.

- Build dashboards, reports, and visualizations using tools such as Looker, Looker Studio, Power BI, or Tableau.

- Perform data validation and quality checks to ensure accuracy and consistency.

- Automate repetitive reporting and data-processing activities using Python and SQL.

- Collaborate with business stakeholders, data engineers, product teams, and other technical teams to understand analytical requirements.

- Translate business requirements into data queries,



analytical solutions, and actionable insights.

- Monitor key performance indicators (KPIs) and provide regular analytical reports.

- Support ad-hoc analysis and provide data-driven recommendations to stakeholders.

- Document data sources, analytical processes, queries, and reporting logic.

Required Skills

- Strong proficiency in SQL for data extraction, analysis, joins, CTEs, and window functions.

- Positive hands-on experience with Python, especially Pandas and NumPy, for data analysis and automation.

- Experience with GCP, particularly BigQuery and Google Cloud Storage (GCS).

- Knowledge of data cleaning, transformation, validation, and visualization.

- Experience with BI tools such as Looker, Power BI, or Tableau.

- Understanding of data warehousing and ETL/ELT concepts.

- Strong analytical, problem-solving, and communication skills.

📌 Data Analyst (Noida)
🏢 Innodata India
📍 Noida