Data Analyst Business Insights

? 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 .