Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

NOTEs: This is a FULL TIME ROLE - no W2/C2H/C2C. You must work Eastern hours.

As a Data Analyst, your role is pivotal in converting raw data into meaningful insights, directly influencing our strategic decisions. Your day-to-day responsibilities involve engaging with diverse departments, gaining a deep understanding of their specific data requirements.

Key Responsibilities:

• Collaborate with data product owners to refine requirements for new data products.
• Translate business requirements into technical specifications, ensuring data products deliver valuable insights.
• Apply expertise in data analysis and visualization to enhance the functionality and impact of data products.
• Curate metadata to ensure data accessibility, understandability, and usability.
• Implement metadata standards and best practices for enhanced data discoverability.
• Coordinate with data governance teams to maintain alignment with quality, privacy, and compliance standards.
• Develop and maintain source-to-target mappings for data integration projects.
• Ensure accurate translation of data from source systems to target databases.
• Assist in designing and developing data products that deliver actionable insights.
• Create documentation and guides for data sets and products, promoting accessibility and understanding.
• Conduct training sessions to improve data literacy across the organization.

Qualifications:

• 4+ years of data analysis experience
• Experience within the specialty insurance industry (*required - Examples: P&C, Business Owner's Policy, Commerical Auto, Professional Liability, Workers Compensation, Homeowners/Renters, Personal Umbrella, etc.)
• Strong SQL coding experience (*required)
• Ability to capture requirements and write functional specifications (*required)
• Visualize data that was extracted using PowerBI (*required)
• Proficiency in SQL, Metadata Management, Python, R, and BI tools like Tableau or Power BI.
• Solid understanding of statistical analysis, predictive modeling, and data mining techniques.
• Good communication skills with the ability to convey complex data insights clearly.
• Develop and implement automated scripts or workflows to facilitate data preparation tasks, including data cleaning, normalization, and validation.
• Proficient in preparing data for ETL processes, including extraction, transformation, and loading, while ensuring data quality, integrity, and compatibility with target systems.

Education:

• Bachelor's or master's degree or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, or related field.