Lead Analytics Engineer

Role Overview

The Lead Analytics Engineer is responsible for advancing retained knowledge across US Data Engineering practices, generating efficiency in bridging the gap between business and technology execution, and driving value by making data available and intelligible for all users. This position serves as the strategic technical lead for business context translation, data innovation, cross-functional collaboration, and enterprise-wide data management initiatives.

What You Will Do

Serve as the lead data and analytics technologist for multiple cross-functional teams, guiding access to and analysis of data and information. Conduct research and horizon scanning to identify emerging data and analytics trends, evaluating applicability to support business objectives.

Why It Might Be a Fit

Ideal candidate has 8+ years of progressive experience in data management, analytics, solution architecture, cloud platforms, data warehousing/lakehouse concepts, data modeling, and/or data engineering, with a track record of delivering high-quality, complex data solutions.

Requirements

• Bachelors degree in Computer Science, Information Systems, or related field
• 8+ years of progressive experience in data management, analytics, solution architecture, cloud platforms, data warehousing/lakehouse concepts, data modeling, and/or data engineering
• Demonstrated leadership in strategic data initiatives, innovation environments, and cross-functional project management
• Experience with data as a product and business intelligence concepts, such as data governance, data quality, data lineage, data catalog, data visualization, and data storytelling
• Expertise in self-service analytics and visualization capabilities utilizing tools such as Power BI
• Strong SQL, data modeling/warehousing, and AI (Claude, GEAP, Copilot, etc.) applied experience
• Advanced knowledge of data integration tools (DBT, SSIS) and frameworks (ETL, ELT, API, streaming), data structures (relational, non-relational, JSON, XML), and scripting languages (Python, R, PowerShell, JavaScript)
• Strong Insurance domain skills with experience in problem solving and demonstrated ability to implement and deliver industry specific solutions.
• Experience in designing and delivering training programs, L&D content, and cross-skilling initiatives for diverse audiences.
• Effective communicator with both technical and non-technical audiences; adept at presenting complex concepts clearly.
• Strong analytical, problem-solving, and decision-making skills; able to operate effectively in dynamic and ambiguous environments.
• Professional presence and ability to drive strategic outcomes and value.
• Experience with Agile frameworks and methodologies

Benefits

• Competitive salary and bonus (based on personal & company performance)
• 401(k) with competitive company matching
• Comprehensive health insurance, vision, dental and FSA plans (medical, limited purpose, and dependent care)
• Company paid group term life, short- term disability and long-term disability coverage
• 24 Paid time off days plus 2 Hiscox days, 10 paid holidays plus 1 paid floating holiday, and ability to purchase 5 PTO days
• Paid parental leave
• 4 week paid sabbatical after every 5 years of service
• Financial Adoption Assistance and Medical Travel Reimbursement Programs
• Annual reimbursement up to $600 for health club membership or fees associated with any fitness program
• Company paid subscription to Headspace to support employees’ mental health and wellbeing
• Recipient of 2024 Cigna’s Well-Being Award for having a best-in-class health and wellness program

Tagged as: Data Visualization, Power BI, Project Management, Python, SQL