Data Engineer Claims Analytics

at  Capgemini

CAPGEMINI IS SEEKING A HIGHLY MOTIVATED AND DETAIL-ORIENTED DATA ENGINEER TO JOIN OUR TEAM TO WORK FOR A TOP 10 US INSURANCE CARRIER.

For this role you will be responsible to understand, analyze & translate business data stories into a technical story breakdown structure. As a Data Engineer, you are capable in design, build, test and implement data products of varying complexity, with limited coaching and guidance.
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.

REQUIREMENTS

• Fluent English skills
• Bachelor’s degree in engineering, mathematics or related
• Minimun required work experience: 7 to 9 years
• Data Analytics Core Tools: Understands how to effectively use core tools for Data Analytics including Excel, PowerPoint, Power BI, Python 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.
• Machine Learning Models and Operations: Understands and applies knowledge of machine learning to create models which address operational, analytical and financial business needs. This includes but is not limited to activities which leverage skills such as data mining to identify new predictive factors for use in rate modeling (analytical), knowledge of current operations and trends to identify prospective results used in project or operational results forecasting (financial) or creating utilities that and functions which are used to facilitate the internal or external process handling such as customer segmentation, retention or other key performance indicators (operational).

OTHER CRITICAL SKILLS

Data Analysis, Profiling - Advanced
PL/SQL - Intermediate
Cloud computing , Networks, concepts - Entry Level
API , Open Source Data Products - Entry Level

SOFTWARE / TOOL SKILLS

SQL - Intermediate (4-6 Years)
INFORMATICA - Intermediate (4-6 Years)
POWER BI - Entry Level (1-3 Years)
PYTHON - Entry Level (1-3 Years)
SHELL / LINUX Scripting - Entry Level (1-3 Years)
Any ELT Integration Tools - Intermediate (4-6 Years)

Please refer the Job description for details