Position: Senior Data Analyst Overview We are seeking a results-driven Senior Data Analyst to drive the successful execution of enterprise data initiatives within our insurance technology landscape. This individual will play a critical role in overseeing the design, execution, and support of complex data warehouse solutions related to policies, claims, billing, quoting, agencies, and supporting data marts. As a seasoned analyst, you will serve as a strategic link between business needs and technical implementation—ensuring high-quality data solutions are delivered on time and aligned with organizational goals. This role requires end-to-end project ownership, technical mentoring, deep data knowledge, and the ability to collaborate across cross-functional teams. You’ll also be responsible for managing your workload while coordinating deliverables across internal teams and stakeholders. What You’ll Do • Lead full-cycle data projects—from requirement gathering and analysis to deployment and post-implementation support. • Collaborate with stakeholders to translate business needs into technical specifications and data models. • Design and optimize complex data transformations and mappings across DB2, Snowflake, and other relational databases. • Support testing strategies, including unit, integration, user acceptance, and performance testing phases. • Develop documentation for system specifications, data flows, and transformation logic following SDLC best practices. • Mentor and guide junior analysts, providing direction and oversight as needed. • Interface with ETL developers, application teams, and QA resources to ensure cohesive data solutions. • Troubleshoot data issues and perform performance tuning across production environments. • Maintain a proactive stance by identifying opportunities for improvement and solving data quality challenges before they impact operations. • Balance multiple initiatives, manage shifting priorities, and help ensure timely project completion. • Serve as a subject matter expert in insurance data lifecycle, including policy and claims operations. Required Qualifications • Bachelor’s degree in Computer Science or related field (or equivalent experience). • 10+ years of hands-on experience working in data analysis roles, preferably within insurance or finance. • Expertise in SQL and strong familiarity with DB2 and Snowflake environments. • Strong understanding of data transformation, cleansing, and mapping techniques. • Experience with project estimation, planning, and delivery under structured SDLC methodologies. • Familiarity with Jira or other project tracking tools. • Advanced knowledge in data modeling and performance tuning strategies. • Demonstrated ability to manage projects and mentor teams. • Proven success in working across functional teams and delivering production-ready data systems. • Strong analytical mindset and attention to detail. • Excellent communication skills with the ability to articulate complex technical issues to both technical and non-technical audiences. • Must be comfortable working independently and collaboratively in a fast-paced environment. • Knowledge of the Property and Casualty (P&C) insurance industry and understanding of policy and claim life cycles. • Familiarity with Informatica or similar ETL technologies for code review and impact analysis. • Working knowledge of AWS-based data architecture. • Exposure to Python (a plus, not required). • Hands-on experience in large-scale Data Warehouse projects using modern tools and methodologies. Skills: data,data cleansing,performance tuning,data mapping,operations,aws,communication,informatica,data solutions,python,mentoring,sql,sdlc methodologies,data modeling,jira,property & casualty insurance,db2,data transformation,project planning,insurance,snowflake,project estimation,data warehouse