Data Management Sr. Analyst

Capgemini is seeking a highly motivated and detail-oriented Data Management Analyst to join our team to work for a top 10 US Insurance Carrier.

You are going to be responsible for the collection, preparation and reporting of statistical data including technical support for tools and/or other analytic processes used for specified lines of insurance.

Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

Location: Mexico and Colombia

Essential Job Functions:

Develops and prepares new reports and applications using multiple sources of information. Evaluates information being reported for consistency, completeness, accuracy and reasonableness. Maintains and provides support for existing tools and applications used in the analysis of information. Communicates with actuaries, accountants, product managers and I/T staff regarding data requirements and/or business requirements involving new reports or applications. Prepares internal and/or external correspondence related to the development and understanding of information. Conducts research into proposed solutions regarding data quality issues as well as for the development of new reports or applications.

Fluency in English, you are going to work with an international team.

Bachelor's degree required

Years of experience: 3 to 5 years

Experience working with:

- Data Analytics Core Tools: Understands how to effectively use core tools for Data Analytics including Excel, Power BI, VMA Macros and SQL.

- Data Architecture: Sets the blueprint for data and the way it flows through data storage systems and subsequent downstream applications. Defines the underlying data environment via data transformation rules, data grain or other principles aligning to expectations for business intelligence and advanced analytics initiatives.

- Data Governance and Management: Manages the availability, consistency, usability, integrity, and security of the data employed in an enterprise. Sets and maintains internal standards—data policies—that apply to how data is gathered, stored, processed, and disposed of.

- Data Mining and Engineering: Applies knowledge of data mining practices, tools and technologies to find patterns in the data, converting raw data into useful and actionable information centered around consistent and conformed standards and expectations of the business. Designs and builds systems, applications or other utilities for collecting, storing, converting/transforming, reporting and analyzing data at scale. Engages in appropriate activities to ensure integrity, consistency and conformity of data from disparate sources to facilitate consumption and use.  This includes but is not limited to collecting, cleaning and organizing raw data prior to processing or any analysis specific to a business problem or need.

- Data Visualization and Reporting: Understands and applies knowledge of various visual aids that can be used to articulate or convey observations regarding the data. Uses the appropriate tools and techniques to condense and encapsulate the characteristics of data, making it easier to reveal and discover opportunities, identify risks, analyze trends, communicate a recommendation and drive effective decision-making

- Statistical and Descriptive Analysis: Understands and applies knowledge of various statistical and/or analytical metrics, equations or practices. Uses the appropriate tools to understand data and its applicability to business problems/scenarios and identify missing values, outliers, anomalies or skewed distributions before communicating recommendations to decision makers.

Other Critical Skills

SQL query - Advanced
MDX Query (Analysis Services) - Intermediate
VBA macro in excel - Advanced
Excel - Advanced
Project Management - Intermediate
Power BI - Advanced
Critical thinking - Advanced

This position comes with competitive compensation and benefits package:

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

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/