> Markdown version of [/jobs/ext/3467197-data-analytics-lead](https://www.wearedevelopers.com/jobs/ext/3467197-data-analytics-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Lead - **Company:** MATIC LLC - **Location:** United States - **Experience:** Expert - **Salary:** $115,000.0 - $135,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Business Systems, Data Architecture, Data Integration, Data Structures, Data Visualization, Github, Statistical Hypothesis Testing, Python (Programming Language), Regression Analysis, SQL Databases, Tableau (Software), Snowflake, Data Strategy, Information Technology, Data Analytics - **Published:** September 10, 2026 - **Apply:** https://startup.jobs/lead-data-analyst-matic-9979343 ## About the Role * Bachelor's or Master's degree in a relevant technical field (Computer Science, Finance, Mathematics, Statistics, Data Analytics, etc.). * 5-8 years of progressive work experience in a data analytics or business intelligence role, demonstrating deep ownership of projects. * Subject matter expertise with SQL query optimization, DBT, Snowflake, and ELT design. * Extensive experience with Tableau, Metabase, or other advanced visualization platforms. * Solid decision-making skills and the ability to communicate complex data concepts clearly to both technical and non-technical audiences. * Proven track record of navigating ambiguity, prioritizing effectively, and meeting tight deadlines while anticipating business needs. * Non-competitive, team-player mindset with a strong ability to accept feedback, collaborate, and influence process improvements. Bonus Points * Prior experience working in a fast-paced startup environment. * A strong understanding of statistical analysis (e.g., hypothesis testing, regressions) and familiarity with Python or R. * Familiarity with any of the business systems that feed the creation of our data structures, including: Callabrio, Rippit, SurveySparrow, Telephony, MaestroQA, Iterable, IVANS, or AMS360. * Solid understanding of corporate and operational business issues for call center operations, marketing strategy, or insurance markets. ## Description 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. * Data Architecture & Governance: Assist in overseeing Matic's data analytics stack-from data collection and storage to validation and governance. Ensure derived data fields are correctly computed in our ELT stack of Meltano, DBT, and Snowflake. * Hypothesis Testing: Design robust reporting to support business-led A/B tests and experiments, evaluating the precise impact of new initiatives. * Data Analytics Tools: The success of our team is through the use of the tools we use on a daily basis; Snowflake, Metabase, Tableau, DBT, and Github. The application of AI to increase speed to delivery is an area that continues to speed our question to answer cycle. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)