# FBS - Senior DATA Analyst Inf Delivery (Knowledge in Insurance Products)

**Company**: Capgemini
**Location**: Mexico
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q1034621

**Apply**: https://jobs.workable.com/view/fVqKC8VTv1bMBmmSr4pdmS/remote-fbs---senior-data-analyst-inf-delivery-(knowledge-in-insurance-products)-in-mexico-at-capgemini?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_842098ff-9a7

## Description

The Specialty Business Information Delivery (BID) team at Capgemini enables data-driven decision-making across various departments by delivering trusted, timely, and actionable analytics. As a Senior Data Analyst, you will support the delivery and management of data, reports, and analytics across the organization, with work grounded in querying and integrating data from Mainframe/DB2 systems and Snowflake data warehouses.

Responsibilities include: Gathering, cleaning, and transforming structured data; Developing basic to moderately advanced reports and dashboards; Implementing guided and embedded analytics, as well as data-as-a-service capabilities, to support informed business decision-making; Assessing data quality and applying data hygiene techniques to ensure accuracy and consistency; Supporting data reliability by conducting quality checks, documenting data processes, and collaborating with more experienced analysts for peer review and data validation as needed; Participating in discussions with cross-functional business partners and teams to understand and collaborate on complex business objectives; Using foundational experience in data management or analysis to provide insights that support decision-making; Aiding the adoption of insights delivery solution among business partners, including reporting, guided analytics, self-service, embedded, augmented, and data as a service capability; Coordinating with cross-functional technical teams including data governance, IT, data engineers and others to ensure data integrity and optimize data pipelines; Identifying data quality issues and collaborating to resolve them; Staying informed about emerging reporting and data visualization methodologies, tools, and best practices; Applying knowledge and continuous learning to improve own performance and the quality of work produced; Actively seeking feedback from more experienced team members and engaging in professional development opportunities to enhance skills and contribute effectively to team objectives.

Requirements include: Fluent English proficiency; Intermediate-level data analytics skills; Intermediate-level project management skills; Intermediate-level reporting skills; Advanced-level Power BI skills; Advanced-level Python skills; Intermediate-level SQL skills; Intermediate-level Excel skills.

## Skills

### Required
- data analytics
- project management
- reporting
- Power BI
- Python
- SQL
- Excel

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