Total Experience : 4 - 5 years

Responsibilities :

- Conduct moderately complex data profiling and analysis to evaluate data sources to determine the best source for business information.

- Collaborate with data engineers to perform data validation and testing activities as appropriate.

- Work directly with internal customers to refine requirements and validate output to ensure solutions will meet expectations and deliver actionable insights through data analysis.

- Create advanced database queries, optimize SQL queries for improved performance.

- Develop and implement data analysis frameworks and methodologies.

- Perform root cause analysis for data quality issues and implement solutions.

- Produce reports and dashboards to communicate findings to stakeholders.

- Support data governance initiatives and compliance activities.

Qualifications :

- Advanced knowledge of data analysis tools and methodologies.

- Proficiency in SQL and database technologies.

- Strong knowledge of business intelligence and analytics platforms.

- Excellent analytical and communication skills.

- 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.