← Back to jobs

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?

Comments 0

Want to leave a comment?
Sign in or create your account in seconds to join the discussion.
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 Audiovisual

The Audiovisual area is responsible for producing, editing, and creating video and audio content for various platforms. With the exponential growth of digital content, audiovisual professionals are fundamental for brands that want to communicate visually and impactfully.

Key skills include video production and editing (Premiere Pro, DaVinci Resolve, Final Cut), motion graphics (After Effects), animation (Blender, Cinema 4D), sound design, podcast production, live streaming (OBS Studio), and photography. Knowledge of visual storytelling, rhythm, and art direction is a differentiator.

Audiovisual professionals in technology companies are highly valued, especially those who master motion graphics, social media videos, and content for digital platforms. The field offers opportunities from videomaker to head of audiovisual, with a focus on creativity, technical quality, and storytelling.

About Artificial Intelligence

Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.

Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.

AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.

About Backend

The Backend area is responsible for all server logic, APIs, databases, and infrastructure that support web and mobile applications. Backend professionals ensure that systems are scalable, secure, and performant.

Key skills include languages like PHP, Java, Python, Ruby, Go, and Node.js, frameworks like Laravel, Spring Boot, Django, and Express, databases (MySQL, PostgreSQL, MongoDB, Redis), software architecture (clean architecture, DDD, microservices), and API security (OAuth, JWT).

Backend developers in technology companies are highly valued, especially those who master microservices architecture, cloud computing, and high-scale performance. The field offers opportunities from junior developer to software architect, with a focus on scalability, security, and efficiency.

About Web Designer

The Web Designer is the professional responsible for creating visual interfaces for websites, web applications, and landing pages, combining aesthetics, usability, and user experience. They transform business needs into functional and responsive layouts that communicate brand identity.

Key skills include UI design, responsive design, prototyping (Figma, Sketch, Adobe XD), wireframing, design systems, accessibility (WCAG), information architecture, and basic HTML/CSS knowledge. Knowledge of UX design, motion design, and front-end is a differentiator.

Web Designers in technology companies are highly valued, especially those who master design systems, design tokens, and can create interfaces that convert and engage. The field offers opportunities from junior web designer to product designer and design lead.

About Tech Recruiter

The Tech Recruiter is a professional specialized in recruiting technology talent, from developers to AI engineers and DevOps professionals. They combine technical knowledge with recruitment skills to evaluate and attract highly qualified candidates.

Key skills include technical screening, analysis of technical profiles (GitHub, portfolios, blogs), knowledge of software stacks and architectures, networking in tech communities and events. Proficiency with tools like LinkedIn Recruiter, Gem, Ashby, and technical assessment platforms is a differentiator.

Tech Recruiters are scarce and highly paid professionals, especially those who can map and access passive talent in competitive markets like AI, data engineering, and cloud computing.

Career Guides

Technology Career Guide

Planning, skills, interviews, and professional growth in IT, Data Science, DevOps, and Product.

Read full guide →

Design Career Guide

UX/UI, Graphic Design, Product Design. Portfolio, tools, interviews, and growth in the Design field.

Read full guide →

Marketing Career Guide

SEO, Paid Media, Growth, Content Marketing. Certifications, tools, and strategies to grow in Digital Marketing.

Read full guide →

Finance Career Guide

Financial market, investments, corporate finance, certifications, and strategies to grow in the financial field.

Read full guide →

Communication Career Guide

Journalism, PR, Corporate Communication, Content Marketing, and Multimedia Production.

Read full guide →

Administration Career Guide

Business Management, HR, Logistics, Consulting, Project Management, and Entrepreneurship.

Read full guide →

Data Career Guide

Data Science, Data Engineering, BI, Machine Learning, and AI. From training to the job market.

Read full guide →

Product Career Guide

Product Management, Product Ownership, Agile, Scrum, and OKRs. From strategy to execution.

Read full guide →

Tech & Remote Glossary

Stop getting lost in interviews and job descriptions

The job market, especially within tech and global companies, has developed its own dialect. Not understanding these acronyms can make you lose valuable opportunities or poorly negotiate your contract. To end this problem, we created the Definitive Glossary for the Remote Professional.

🏢 Work Models & Routine

Async (Asynchronous Work)
A communication model where responses don't need to be immediate. Instead of back-to-back meetings, the team relies on well-structured documents, threads, and messages. It's the gold standard for global companies spanning multiple time zones.
Sync (Synchronous Work)
The opposite of Async. It requires the team to be online and available at the same time for meetings, live chats, and real-time collaboration.
Daily / Stand-up
A quick daily meeting (usually 15 minutes) common in Agile (Scrum) methodologies. The team answers three questions: What did I do yesterday? What will I do today? Are there any blockers?
All-Hands / Town Hall
A company-wide meeting involving all employees. Usually led by the founders (C-Levels) to present results, new goals, and answer team questions.
1:1 (One-on-One)
A recurring individual meeting between a professional and their direct manager. It is used for career alignment, feedback, and problem-solving, not just for project status updates.

💰 Contracts, Benefits & Compensation

PTO (Paid Time Off)
Instead of strict, categorized leave policies, modern US companies usually offer a flexible pool of days (e.g., 20 days of PTO, or even "Unlimited PTO") that you can use for vacations, sick days, or personal matters, while receiving your regular compensation.
Equity / Stock Options
Company ownership. The startup offers you the right to buy shares at a heavily discounted strike price in the future. If the company grows, goes public, or is acquired, these shares can be highly lucrative.
Vesting (Vesting Schedule)
The rule that controls your Equity. It usually lasts 4 years. You don't get all the shares on day one; you "earn" them gradually as you stay with the company. A "1-year Cliff" means you must stay for at least one year to receive your first batch of shares.
RSUs (Restricted Stock Units)
Unlike Stock Options (where you have the right to buy the stock), RSUs are actual shares the company grants you as a bonus or part of your compensation package, following a strict Vesting schedule.
Independent Contractor (1099 / B2B)
The most common international hiring model for global talent working for US companies. You act as a service provider (business-to-business), receiving the gross salary (often six-figure compensation) without standard local payroll tax deductions at the source.

🤖 Recruitment & Hiring Process

ATS (Applicant Tracking System)
The "robot" that reads your resume. Software like Greenhouse, Ashby, and Workday are used to filter candidates by keywords before a human even looks at the document. (Pro tip: this is why your resume must be clean, semantic, and have the right keywords).
JD (Job Description)
The document that lists the responsibilities, technical requirements, and benefits of the open position.
Cultural Fit
The interview stage that evaluates if your core values, communication style, and worldview align with the company's culture. This is the ultimate test of your Soft Skills.
Onboarding
The integration process. It's the period of your first few weeks at the company, where you get your access credentials, learn about the culture, study the internal documentation, and understand how the product works.

🚀 How to use this to your advantage?

The secret isn't just knowing what these acronyms mean, but using them actively. If during an interview for a premium tech role you ask, "How does your PTO policy and Vesting schedule work?", the recruiter will immediately perceive you as a high-level professional, familiar with the global market standards.

The remote job market requires preparation. And having the right vocabulary is the first big step to securing six-figure proposals and standing out among thousands of applicants.

Expert Tip

The Back-End Development Market

The Back-End Development Market: Barriers, Opportunities, and the Path to the Top

Behind every brilliant application, revolutionary artificial intelligence, or successful fintech, there is an invisible and robust ecosystem. Welcome to the Back-End universe.

The Modern Back-End Paradox: Did AI Steal the Jobs?

With the rise of tools like GitHub Copilot and Cursor, many junior developers wonder if the Back-End career is threatened. The short answer is: no. In fact, it has evolved.

Artificial Intelligence has made writing basic "CRUD" (Create, Read, Update, Delete) code trivial. However, the market no longer pays six-figure salaries for writing repetitive code. The global market is actively hunting for Software Engineers—professionals who understand architecture, resilience, latency, and scalability. The Back-End didn't die; the bar was simply raised.

Barriers to Entry: What Separates Juniors from Seniors

Entering Back-End development today requires overcoming technical barriers that go far beyond mastering a programming language (like Java, C#, Go, or Python). Key barriers include:

  • System Design: Knowing how to design a system that supports 100 users is easy. Designing one that handles 1 million requests per second requires deep knowledge of load balancing, caching (Redis/Memcached), and message queues (RabbitMQ/Kafka).
  • Data Complexity: The debate is no longer just "SQL vs. NoSQL". It is about data modeling, replication, sharding, and how to avoid database bottlenecks in distributed systems.
  • Security: With data breaches costing millions, companies require developers to master security practices from day one. Not knowing the vulnerabilities listed by the OWASP Top 10 is a dealbreaker for premium remote roles.
  • DevOps and Cloud Culture: The modern Back-End developer must understand containerization (Docker), orchestration (Kubernetes), and cloud infrastructure (AWS, GCP, Azure).

Golden Opportunities: Where is the Money?

For those who overcome these barriers, the market is a blue ocean of opportunities, especially for US/Global Remote work.

  • Migration to Microservices and Serverless: Corporate giants continue to dismantle legacy monoliths. Professionals who understand the patterns described by Martin Fowler are highly sought after.
  • High-Performance Languages: While traditional languages maintain their corporate strength, the use of Go (Golang) and Rust has skyrocketed for systems requiring massive concurrency and low memory footprint (Green Computing).
  • AI Infrastructure: AI models don't run in a vacuum. There is a massive demand for Back-End engineers proficient in Python and C++ to build data pipelines (MLOps) and the APIs that serve these models in real time.

Success Stories: Architectural Decisions That Changed the Game

True Back-End engineering shines when solving impossible problems. Let's look at real-market examples:

The Discord Case (Migration to Rust): Discord faced latency spikes in its core Read States service, originally written in Go. Because Go's Garbage Collector caused critical millisecond freezes, the team rewrote the service in Rust, completely eliminating latency spikes and supporting trillions of messages with absurd efficiency. This proved the value of choosing the right tool for performance limits.

The Netflix Case (Pioneering Microservices): Netflix transformed a monolithic system that broke under pressure into an architecture of thousands of independently managed microservices. They pioneered the concept of Chaos Engineering, purposely shutting down production servers to ensure their Back-End was resilient to failure.

Practical Tips: How to Land Premium Global Jobs

  1. Master the Fundamentals: Before learning the trendy framework of the month, study data structures, algorithms, and time complexity (Big-O Notation). This is exactly what will be tested in high-level technical interviews (Whiteboard interviews).
  2. Build a Problem-Focused Portfolio: A GitHub repository with a "To-Do List" won't impress anyone. Build an API that handles asynchronous image processing, create a scalable URL shortener, or engineer a messaging system using WebSockets and Redis.
  3. Study Real Cloud Architecture: Get solutions-based certifications (like AWS Certified Developer or Solutions Architect). These serve as a "Seal of Approval" to bypass strict Applicant Tracking Systems (ATS) like Greenhouse or Ashby.
  4. Flawless Technical Communication: According to the Stack Overflow Developer Survey, the highest-paying roles require asynchronous global collaboration. Your code documentation, commit messages, and PR reviews must be pristine and professional.

Verdict: Is a Career in Back-End Worth It?

Absolutely. If you are an analytical person who loves solving complex puzzles and cares about the security and efficiency of things no one sees, the Back-End is your place.

It is a career virtually immune to visual fads. While Front-End libraries change every few years, the fundamentals of relational databases, networks, and operating systems remain the same. It is a rock-solid foundation for a highly lucrative and globalized career.