Importance of the Role
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.
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.
Responsibilities
- Project Strategy & 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.
- 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.
- 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.
- Mentorship & Leadership: Mentor junior data analysts and peers. Contribute to process improvements that enable others, balance individual work with a team-centric structure, and exert a strong, positive cultural influence.
- Problem Solving & Agility: Identify business issues and implement solutions in swift iterations before they become critical problems. Navigate obstacles effortlessly without impeding agility or execution.
- Self-Service & Evangelism: Build scalable and flexible reporting to be published for self-service data exploration. Champion a data-driven culture at Matic by training the organization to make the best use of available data.
Key Highlights
- Advanced Data Analysis & Modeling: Gather, clean, and organize data from various sources. Create high-impact predictive models and statistical analyses that guide our acquisition, retention, and monetization efforts.
- Data Visualization: Develop highly informative, visually appealing dashboards using Tableau and Metabase to present actionable findings effectively.
