Data Visualization & Analytics Lead

Role: Data Visualization & Analytics Lead Location: Boston, MA (4 days onsite) Employment Type: 3-6 Month Contract; potential extension • will not consider relocation candidates; must be local and able to interview onsite • Overview: A well-established insurance and organization is looking for a Data Visualization & Analytics Lead to join their digital transformation team. This role focuses on transforming complex datasets into strategic insights through data visualization, analytics, and storytelling. You’ll play a key role in driving data-driven decision making across multiple business units. Key Responsibilities: • Design and deliver Tableau dashboards and visual analytics that clearly communicate trends, KPIs, and business performance. • Manage a queue of analytical requests and visualization projects, ensuring timely delivery and prioritization based on business impact. • Collaborate with product, engineering, and UX teams to translate business needs into effective data solutions. • Gather and model data from multiple internal systems, ensuring accuracy, scalability, and consistency. • Conduct root cause analysis, identify performance drivers, and support cost-benefit and impact assessments. • Present findings and recommendations to both technical and executive audiences through compelling visuals and clear narratives. • Support ongoing digital initiatives by tracking results, identifying insights, and maintaining performance scorecards. Qualifications: • 3+ years of advanced Tableau experience with a portfolio showcasing interactive and insightful dashboards. • 2+ years of SQL experience, including writing complex queries and optimizing data extraction for reporting. • Strong communication and data storytelling abilities, with experience engaging non-technical stakeholders. • Tableau certification and/or experience leading or participating in Tableau user groups preferred. • Familiarity with analytics tools such as Google Analytics 4, Heap, Redshift, or Tealium is a plus. • Bachelor’s degree in Business Analytics, Information Systems, Statistics, or a related field (Master’s preferred).