Job highlights

- Proficiency with RedShift,AWS S3,AppFlow,SFDC,SFTP,and GitHub
- Extensive experience in Data Lake architecture,building data pipelines using AWS services like EC2,Lambda,Redshift,Glue,Athena,CloudWatch,and S3
- Skills/ Competencies Required: . ?
- Must be proficient in Python and SQL
- Good to have banking experience . . ?
- Experience in the banking domain

? :

? 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.
- ? Solid oral and written communication skills .

📌 Data Analyst Business Insights (Chennai)
🏢 Intigniz Solutions
📍 Chennai