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.
- Solid 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.

📌 Data Analyst - SQL/Power BI (India)
🏢 Skyleaf Consultants
📍 India