Lead Data Analyst
matic
Columbus, Ohio, United States
Data
Business Intelligence
Advertising
Job Score
100 pts
On-site model (+70)
Data (+10)
Business Intelligence (+10)
Advertising (+10)
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.
- 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.
Requirements
- 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.
What We Offer
- Base Salary Range: $115,000 - $135,000
- Annual Bonus Target: $5,000 - $10,000
- Career advancement - we have a culture that prioritizes internal promotion and career growth
- Matic Stock Options - all employees have ownership in Matic
- Flexible Paid Time Off - take off as much time as you need - we support work / life balance
- Medical, Dental & Vision insurance - Matic pays 100% for employees - $0 out of your paycheck for benefits!
- Health Savings Account (HSA) - with monthly $$ employer contribution
- 401(k) Retirement Plan Option
- Continuing education - licensing and professional development paid for by Matic.
- A TRUE team culture - One Team, One Dream is our company motto
- Frequent team events & activities - happy hours, charity events, game nights, volleyball/kickball teams, etc.
- Modern and casual office environment with various amenities - ping pong table, coffee/espresso bar, flavored water bar, etc.
About Matic
Matic is an insurance tech startup who delivers an unbiased approach to insurance. We combine a powerful digital experience with assistance from our team of trusted advisors. Matic has changed the landscape of the insurtech industry by integrating insurance within the home and auto ownership experience
Our digital insurance marketplace has over 50 A-rated home and auto carriers, as well as distribution partners in industries ranging from mortgage origination and servicing to banking, auto financing, and much more.
Working at Matic means working collaboratively towards one common goal; we are one team with one dream. We have a fast-paced culture that is driven by quality, transparency, and of course fun.
Disclaimers
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. This position does not offer sponsorship.
If you require a reasonable accommodation at any stage of the application or hiring process, please reach out to us at HR@matic.com.
Please note that artificial intelligence tools may be used to assist our hiring team in the review and screening of candidate applications.
What did you think of this job?
Loading comments...
About Data
The Data field has undergone a radical transformation with the rise of Generative AI. Data professionals are fundamental for evidence-based decision-making across all industries.
Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
About Business Intelligence
Business Intelligence (BI) is the area responsible for transforming raw data into strategic information for decision-making. BI professionals build dashboards, reports, and analyses that help companies understand their performance and identify growth opportunities.
Key skills include data modeling (star schema, snowflake), ETL (extraction, transformation, loading), advanced SQL, BI tools (Power BI, Tableau, Looker), data warehousing, KPIs, and business metrics analysis (MRR, churn, cohort). Knowledge of dbt, Airflow, and data pipelines is a differentiator.
BI professionals in technology companies are highly valued, especially those who master data visualization, analytics engineering, and can translate complex data into actionable insights for the business. The field offers opportunities from BI analyst to head of data, with a focus on data-driven decision making.
About Advertising
The Advertising area is aimed at the planning, creation, and delivery of communication campaigns to promote brands, products, ideas, or services. Professionals in the sector work in advertising agencies or in-house marketing departments in creative fields (art direction, copywriting), strategic planning, account management, and media buying.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Copywriting
The Copywriting area is responsible for creating persuasive, creative, and strategic texts for various communication channels. Copywriting professionals transform ideas into words that engage, convert, and build brand voice.
Key skills include advertising copywriting, script writing for videos and podcasts, persuasive writing, tone of voice, and editorial guidelines. Knowledge of SEO writing, Grammarly, and text productivity tools is a differentiator.
Copywriting professionals in technology companies are highly valued, especially those who master copy for landing pages, email sequences, and funnel content. The field offers opportunities from junior copywriter to head of copy, with a focus on creativity, persuasion, and performance.
About Customer Success
Customer Success is the area responsible for ensuring clients achieve their goals when using the product or service. It is a strategic function for retention, expansion, and customer satisfaction.
Key skills include account management, churn analysis, NPS, onboarding, upsell, and cross-sell. Knowledge of CS tools like Gainsight, Totango, and ChurnZero is a differentiator.
CS is becoming increasingly strategic in SaaS companies, with professionals directly contributing to recurring revenue growth (MRR/ARR).
About Business Analysis
The Business Analyst (BA) is the professional responsible for identifying problems, opportunities, and solutions in organizational processes, acting as a bridge between business areas and the technology development team. They gather and specify requirements, map value streams, design future processes, and help ensure that software deliveries align with the company's strategic goals.
About Fullstack
Fullstack developers are versatile professionals capable of working on both frontend and backend of web and mobile applications. They master multiple technologies and can build complete products end-to-end, from the user interface to server infrastructure.
Key skills include proficiency in at least one complete stack (React/Vue/Angular + Node.js/PHP/Python/Java), databases (SQL and NoSQL), REST/GraphQL APIs, Git versioning, CI/CD, and basic infrastructure knowledge (Docker, cloud). Clean architecture, DDD, and testing are important differentiators.
Fullstack developers are highly valued in startups and companies that need versatile and autonomous professionals. The field offers opportunities from junior developer to software architect, with a focus on complete delivery, holistic product vision, and ability to work across multiple application layers.
About Information Security
The Information Security area is one of the most strategic and in-demand fields in the technology market. With the rise of cyberattacks, data breaches, and regulations like LGPD and GDPR, companies of all sizes invest heavily in professionals who can protect their digital assets.
Key specializations include Network Security, Cloud Security (AWS, Azure, GCP), Offensive Security (Penetration Testing, Red Team), Defensive Security (SOC, Blue Team), AppSec, and Security Governance. Tools like SIEM (Splunk, QRadar), firewalls, EDR, and Vulnerability Management platforms are essential.
Certifications like CISSP, CEH, OSCP, CompTIA Security+, and AWS Security Specialty are important differentiators. Information security professionals are among the highest-paid in the sector, with growing demand especially in fintechs, healthtechs, and large enterprises.
Comments 0