What are the responsibilities and job description for the Senior Business Analyst position at EXL?
Responsibilities:
- Data Validation & Migration Oversight: Lead and manage the validation activities for data assets being migrated, ensuring accuracy, completeness, consistency, and compliance with defined business and technical requirements.
- Translate & Execute Client Requirements: Understand client business and data requirements and convert them into clear, actionable, and executable validation plans for the offshore team.
- Lead & Mentor Offshore Team: Oversee and coordinate an offshore team of 3–6 team members, providing guidance, prioritization, and support to ensure successful delivery of validation activities and project milestones.
- Client Coordination & Status Reporting: Act as a key point of contact for clients by sharing regular updates on validation progress, issues, risks, and resolution plans.
- Quality Assurance & Data Integrity: Implement validation checks, review processes, and testing strategies to ensure high-quality and reliable migrated data assets.
- Drive Innovative Validation Strategies: Ideate and implement new data validation approaches, automation opportunities, and process improvements that enhance efficiency, scalability, and accuracy across migration initiatives.
Qualifications:
- Experience: 4 years in data management, data analytics, or data engineering field—with a proven track record in team leadership (managing teams of 3 members).
- Educational Background: Bachelor’s degree from Tier I/II institutions; Master’s degree in Data Analytics, Information Systems, or another relevant discipline is highly desirable.
- Technical Skills:
- Required: Proficiency in Advanced SQL for data processing and analysis
- Desirable: Experience with data integration, ETL processes, and analytics tools (Airflow, dbt)
- Desirable: Familiarity with data visualization platforms (e.g., Tableau, Looker)
- Desirable: Familiarity with Cloud technologies (AWS, Azure, GCP)
- Analytical Abilities: Strong analytical and problem-solving skills to troubleshoot complex data issues and ensure high data quality and compliance.
- Communication: Excellent verbal and written skills for clearly summarizing technical insights and actionable recommendations to both technical and non-technical stakeholders.