Job Title: Data Analyst & Business Insights

Location: Chennai (Work from Office)
Experience: 2 to 5 Years
Function: AI & Data Science Enterprise Delivery
Role: Team Manager

Job Description:

Responsible for fetching and transforming data from various systems, conducting in-depth analyses to identify gaps, opportunities, and insights, and providing recommendations that support strategic business decisions.

Key Responsibilities:

Data Extraction and Transformation:

• Fetch data from multiple systems, transform it to create a unified dataset, and ensure data accuracy.

Data Analysis and Insight Generation:

• Analyze large datasets to identify patterns, gaps, and trends.
• Develop actionable insights and recommendations that support business objectives.

Visualization and Reporting:

• Create impactful visualizations and reports to effectively communicate findings to stakeholders.

Collaboration:

• Partner with cross-functional teams to align analytical projects with business goals and translate findings into strategic recommendations.

Working Relationships:

• Reporting to: VP Business Growth
• External Stakeholders: Clients

Skills/ Competencies Required:

Technical Skills:

• Proficiency in SQL for data querying and Python for data manipulation and transformation (Pandas, NumPy).
• Experience with data engineering tools such as Spark and Kafka for ETL processes.
• Strong experience with orchestration tools such as Apache NiFi and Apache Airflow for workflow automation.
• Expertise in data visualization tools (e.g., Tableau, Power BI).
• Strong analytical skills, including statistical techniques (e.g., regression analysis, hypothesis testing).
• Proficiency with RedShift, AWS S3, AppFlow, SFDC, SFTP, and GitHub.
• Good to have banking experience.

Soft Skills:

• High degree of flexibility – willing to fill in the gaps rather than relying on others.
• Excellent communication skills for presenting complex insights to diverse audiences.
• Business acumen and strategic thinking to connect analysis with actionable business recommendations.
• Ability to work both independently and within a team.

Academic Qualifications & Experience Required:

• Bachelor’s or Master’s degree (Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering).
• Extensive experience in Data Lake architecture, building data pipelines using AWS services like EC2, Lambda, Redshift, Glue, Athena, CloudWatch, and S3.
• Must be proficient in Python and SQL.
• Experience in the banking domain.
• High motivation, good work ethic, maturity, and personal initiative.
• Strong oral and written communication skills.