Full-Time Business Intelligence Engineer

Capgemini is seeking a highly motivated and detail-oriented Business Intelligence Engineer to join our team for a top 10 US Insurance Carrier.

The BI Engineering role will design, develop, and deploy innovative and forward-facing analytic solutions.

Location: Colombia

Requirements:

• Fluent English skills
• Minimum required work experience: 3 to 6 years.
• Bachelor's degree: required
• Data Analytics and tools:
• Proficiency in Power BI, Tableau, Sigma, or other BI tools
• Proficiency in SQL, Excel, Office Suite
• 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 develop 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
• 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.
• 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

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