Job Description
Job Description
Job Title: Data Analyst (Banking Domain)
Job Type: Full-Time
Job Description:
We are looking for a Data Analyst with over 8+ years of experience and have good understanding in Cloud based Data Lakes, data warehouses and Business Intelligence reporting. In this role, you will play a pivotal role in shaping our digital transformation initiatives. You will collaborate with various stakeholders to analyze, define, and execute data analysis strategies aimed at enhancing our banking services and achieving operational excellence.
Key Responsibilities:
- Requirements Gathering: Elicit and document detailed business requirements, ensuring alignment with business goals and regulatory compliance.
- Working with programmers, engineers, and management heads to identify requirements and devise data analysis strategies.
- Interpret data and turn it into useful information that businesses and organizations can use for critical decision-making.
- Performing analysis to assess the quality and meaning of data.
- Filter Data by reviewing reports and performance indicators.
- Preparing analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Data Management: Collaborate with data engineers and architects to design data storage, processing, and analytics solutions, enabling data-driven decision-making.
- Compliance and Security: Stay up to date with industry regulations and best practices related to banking and cloud computing, ensuring our systems are compliant and secure.
- Documentation: Create comprehensive documentation, including functional specifications, process flows, and user manuals.
- Mentoring: Provide guidance and mentorship to junior team members and contribute to knowledge sharing within the organization.
Must have:
- Experience as Data / Technical Business Analyst in 2-3 large Data Analytics projects on Cloud Data Warehouses. Experienced in large scale Data and Analytics projects in BFSI.
Technologies – Python, R, Power BI, MS Excel and PowerPoint , Cloud Data Warehouses like snowflake , redshift. Good to have:
- Experience in Data Modelling and Data Engineering.
Technologies – Spark, Athena, Glue, AI/ML based analytics.
Qualifications:
- Bachelor’s degree in business, finance, computer Science, or related field. A Master's degree is a plus.
- 10+ years of experience as a Data Analyst and good experience in the banking industry, with a strong understanding of retail and corporate banking operations.
- Excellent analytical, problem-solving, and communication skills.
- Knowledge of OLAP data modeling and database design concepts.
- Familiarity with Agile and Scrum methodologies.
- Strong understanding of banking regulations and compliance.
- Ability to work in a collaborative team environment and adapt to evolving business needs.
- Excellent communication and presentation skills.
Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.