Data Management Specialist

Brasília, Federal District, Brazil - Remote

Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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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.

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

Locations: Argentina, Brazil, Colombia, or Mexico.

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.

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 analyses 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.

Requirements

Data Analytics Core Tools

Proficient in utilizing core tools for Data Analytics, including Excel, PowerPoint, Power BI, Python, and SQL.

Data Architecture

Establishes the blueprint for data and its flow through data storage systems and downstream applications. Defines the underlying data environment through data transformation rules, data grain, or other principles that align with business intelligence and advanced analytics initiatives’ expectations.

Data Governance and Management

Oversees the availability, consistency, usability, integrity, and security of data within the organization. Sets and upholds internal data policies that govern the gathering, storage, processing, and disposal of data.

Data Mining and Engineering

Applies expertise in data mining practices, tools, and technologies to uncover patterns in data, converting raw data into valuable actionable information that adheres to consistent and standardized business expectations. Designs and builds systems, applications, or utilities for data collection, storage, transformation, reporting, and analysis at scale. Ensures data integrity, consistency, and conformity from various sources to facilitate consumption and utilization, including the collection, cleaning, and organization of raw data prior to processing or analysis to address specific business problems or needs.

Data Visualization and Reporting

Experienced in utilizing various visual aids to effectively communicate insights and observations derived from data. Applies appropriate tools and techniques to present data characteristics in a concise manner, enabling the discovery of opportunities, identification of risks, analysis of trends, communication of recommendations, and driving effective decision-making.

Statistical and Descriptive Analysis

Employs knowledge of diverse statistical and analytical metrics, equations, and practices. Utilizes appropriate tools for understanding data and its relevance to business problems/scenarios. Identifies missing values, outliers, anomalies, or skewed distributions before communicating recommendations to decision-makers.

Benefits

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 reknowned group
  6. Private Health Insurance
  7. Pension Plan
  8. Paid Time Off
  9. Training & Development
  10. Performance Bonus

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Business Intelligence Data Analytics Data governance Data management Data Mining Data quality Data visualization Engineering Excel Power BI Python Research Security SQL Statistics

Perks/benefits: Career development Competitive pay Flex vacation Gear Health care Salary bonus

Regions: Remote/Anywhere South America
Country: Brazil
Job stats:  4  1  0

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