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Business Data Analyst @ Capgemini

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 Business Data Analyst

Job Description

Role & responsibilities


Roles and Responsibilities Business Data Analyst

1. Requirements Gathering and Analysis

  • Apply strong functional knowledge and elicitation techniques to accurately capture data and analytics requirements from stakeholders.
  • Collaborate with internal partners to identify business needs, gather requirements, and design solutions for data assets and reporting.

2. Data Analysis and Profiling

  • Independently perform rigorous data analysis, discovery, and profiling using industry-standard tools (e.g., SQL).
  • Ensure business requirements are complete, clear, and well-documented for the intended audience.

3. Documentation and Design Artifacts

  • Maintain data mapping documents, business matrices, and other artifacts that define data requirements and transformation rules.
  • Support ongoing updates to these documents to reflect evolving business needs.

4. Leadership and Mentorship

  • Lead and mentor other Business Data Analysts by providing guidance, assigning tasks, and reviewing deliverables.
  • Foster knowledge sharing and best practices within the team.

5. Consulting and Support

  • Act as a subject matter expert by answering queries, researching solutions to complex problems, and facilitating communication between business and development teams.

6. Data Quality and Issue Resolution

  • Conduct root cause analysis for data-related issues and assist in resolving data quality problems.
  • Identify logical and relevant data relationships across complex topics within the project or functional area.

7. Gen AI Use Case Identification and Implementation

  • Collaborate with business stakeholders to identify opportunities for leveraging Generative AI in data-driven processes.
  • Analyze workflows and propose Gen AI use cases that enhance efficiency, automation, and decision-making.
  • Partner with technical teams to support implementation, ensuring alignment with business objectives and data governance standards.
  • Monitor and evaluate the impact of Gen AI solutions, providing feedback for continuous improvement.

8. Collaboration and Culture

  • Promote a positive work environment by exemplifying organizational values and encouraging collaboration, accountability, diversity, and continuous improvement.

Expectation:

  1. Experience:
    • Minimum 6+ years in business requirements or data analysis, preferably within the insurance industry.
    • Proven track record supporting data warehouse, reporting, or analytics projects.
  2. Technical Skills:
    • Proficiency in industry-standard querying tools (SQL).
    • Hands-on experience with Snowflake and cloud migration projects (preferred).
    • Knowledge of SQL Server and Oracle databases.
  3. Domain Expertise:
    • Strong understanding of insurance products and related business processes.
  4. Analytical & Problem-Solving:
    • Exceptional critical thinking and analytical skills.
    • Ability to conduct detailed data analysis and profiling.
  5. Methodology & Collaboration:
    • Experience working in Agile team environments.
    • Detail-oriented with strong verbal and written communication skills.
  6. Mindset & Continuous Improvement:
    • Forward-looking, proactive, and committed to continuous improvement initiatives.

Preferred candidate profile

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: IT & Information Security
Role Category: IT & Information Security - Other
Role: IT & Information Security - Other
Employement Type: Contract

Contact Details:

Company: Capgemini
Location(s): Hyderabad

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Keyskills:   Leadership and Mentorship Documentation and Design Artifacts Business Data Analyst Requirements Gathering and Analysis Data Analysis and Profiling

 Fraud Alert to job seekers!

₹ 9-16 Lacs P.A

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