Most Loved Workplace® Certified JobLead Data Analyst
Most Loved Workplace® Certified JobAbout the Role
At Matic, a Most Loved Workplace® certified employer in the Insurance space, Simplifying insurance through digital expertise and trusted advisors.
<p><strong>Importance of the Role</strong></p>
<p>As the Data Analytics Lead at Matic, you will act as a subject matter expert and a crucial bridge between our foundational data execution and our overarching data strategy. Sitting perfectly between our Data Analysts and the Director of Data Analytics, you will take ownership of complex data projects, generating analytical insights that drive business outcomes and help scale our vast data ecosystem efficiently.</p>
<p>We rely on data to set the direction of our business. In this role you will be relied upon by other team members for your expertise. You will independently solve complex problems, manage project strategies from inception to completion, and champion a team-centric, data-driven culture without needing daily direction. You will also collaborate closely with cross-functional stakeholders across Matic — including product, engineering, operations, marketing, finance, and the agency—to translate business needs into requirements and actionable insights.</p>
<p><strong>Responsibilities </strong></p>
<ul>
<li>Project Strategy &amp; Execution: Create project strategies and manage them to completion, including coordinating with other team members cross-functionally. Set priorities and self-manage to deadlines, reporting critical findings to leadership.</li>
<li>Subject Matter Expertise: Serve as the domain leader in data integration, transformation, visualization, and experimentation design. Demonstrate an in-depth ability to solve complex problems.</li>
<li>Cross-Functional Collaboration: Act as a data liaison between business leaders and data producers/consumers. Value cross-functional input immensely and translate business questions into actionable product requirements.</li>
<li>Mentorship &amp; Leadership: Mentor junior data analysts and peers. Contribute to process improvements that e
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