Capgemini

Global consulting, technology services, outsourcing

FBS Data Analyst 2

Data AnalysisPosted on Nov 10

Full-timeHyderabad, Telangana, India

About the Job

Requirements

Intermediate insurance-domain knowledge.
Intermediate data warehouse skills.
Intermediate data analytics skills.
Intermediate Snowflake skills, with 4–6 years of experience.
Intermediate dbt skills, with 4–6 years of experience.
Entry-level Python skills, with 1–3 years of experience.
Communicate concisely and precisely in writing.
Develop intuitive reports using best practices for broad audiences.
Describe and document unique data aspects or limitations.
Develop in-depth knowledge of data associated with multiple lines of business and support those businesses' data needs.
Proactively communicate with customers and team members.
Provide customer service by making realistic commitments and meeting them.
Work productively on assigned tasks.
Collaborate effectively with team members.
Account for hours spent on assigned tasks to management and customers.
Share SQL and other data extraction and manipulation techniques with team members.
Debug report-automation or query problems and propose and implement remedies.

Responsibilities

Respond to requests for reports or data by understanding customer objectives and processes, reviewing and refining requirements, and communicating estimated effort and timelines.
Extract data using Cognos ReportNet, OBIEE Answers, or similar business query interfaces.
Extract data from relational databases, data warehouses, and other data stores using SQL.
Format data for business use in Excel, Access, or similar formats.
Produce reports manually and through automated scripting, and create and maintain scripts and macros to automate reports.
Support application testing for enhancements or system upgrades and identify and communicate data-quality issues or data differences.
Scope and deliver data for analytics, maintain datasets and documentation, measure and address data-quality issues, and contribute expertise to complex analysis projects.
Act as a liaison between business and IT, collaborating on technical issues requiring IT involvement and business prioritization.
Analyze data quality and take corrective action.
Analyze the impact of system changes on data and reporting infrastructure and support testing and implementation activities.
Communicate system capabilities and limitations and deliver available data.
Deliver value efficiently while completing assigned tasks.

FBS Data Analyst II

Capgemini · Hyderabad, India (Hybrid) · Full-time · Posted 2026-11-10

Workplace: hybrid

Department: Business Intelligence & Data

Description

Provide data in response to one-time or recurring requests for reports or analysis. Understand customer objectives and processes; effectively communicate system capabilities and limitations; and deliver available data. Analyze data quality and take corrective action. Analyze impact of system changes to data/reporting infrastructure (support testing and implementation activities). Contribute data and expertise to the success of complex analysis projects.

Essential Job Functions

Extract and manipulate data to solve business problems: • Respond to new requests for reports/data: understand customer objectives and processes; review and refine requirements; and commun icate estimated hours and timeline to complete; • Extract data using Cognos ReportNet, OBIEE Answers, or similar business query interfaces; • Extract data directly from relational databases (e.g. Oracle, SQL Server), data warehouses, or other data stores using SQL; • Format data for business use in Excel, Access, or similar format; • Produce reports manually and through automated scripting; create and maintain scripts and macros used to automate reports; • Support application testing for enhancements or system upgrades; identify and communicate data quality issues or data differences; • Scope and deliver data for analytic purposes (data designed for the construction of advanced mathematical models); measure, document, and address data quality issues; maintain datasets and dataset documentation; and contribute knowledge and expertise to the success of the project; and • Act as liaison between business and IT; collaborate on technical issues that require IT involvement and business priority to fix. Communicate effectively: • Be concise and precise in written communication; • Incorporate best practices in developing intuitive reports to share with a broad audience; and • Describe and document unique aspects or limitations of data to aid understanding. Demonstrate business understanding: • Develop in-depth knowledge of data associated with multiple lines of business (LOBs), and effectively support the data needs of those LOBs; and • Demonstrate commitment to lifelong learning. Exemplify good teamwork: • Proactively communicate with customers and team members; • Provide excellent customer service by making realistic commitments and keeping them; • Work productively on assigned tasks; • Collaborate effectively with other team members; • Demonstrate accountability to management and customers for hours spent on assigned tasks; • Diligently strive to deliver value in the fewest possible hours; and • Share effective SQL or other data extraction/manipulation techniques with team members; debug problems with report automation or queries; propose and implement remedies

Requirements

Other Critical Skills

Insurance Domain - Intermediate
Data Warehouse - Intermediate
Data Analytics - Intermediate

Software / Tool Skills

Snowflake - Intermediate (4-6 Years)
DBT - Intermediate (4-6 Years)
Python - Entry Level (1-3 Years)

Benefits

Competitive compensation and benefits package:

Competitive salary and performance-based bonuses
Comprehensive benefits package
Career development and training opportunities
Flexible work arrangements (remote and/or office-based)
Dynamic and inclusive work culture within a globally renowned group
Private Health Insurance
Pension Plan
Paid Time Off
Training & Development

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

https://www.capgemini.com/us-en/about-us/who-we-are/

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About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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