← 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 Customer Service

The Customer Service / Client Relations area is essential for ensuring customer satisfaction, retention, and a good relationship. Professionals in this field are the primary interface for communication, handling inquiries, requests, feedback, and ensuring a high-quality day-to-day experience. Skills in communication, problem-solving, empathy, and patience are indispensable.

About Scrum Master

The Scrum Master is the professional responsible for facilitating the adoption of Scrum and agile practices within development teams. They act as servant leaders, removing impediments, promoting continuous improvement, and ensuring Scrum events and ceremonies happen in the best possible way.

Key skills include event facilitation (sprint planning, daily, review, retrospective), backlog management, team coaching, conflict resolution, and agile metrics (velocity, burndown, cycle time). Knowledge of Jira, Trello, Azure DevOps, and frameworks like Kanban, XP, and SAFe is a differentiator.

Scrum Masters in technology companies are highly valued, especially those who can promote team autonomy, create psychologically safe environments, and lead agile transformations at scale. The field offers opportunities from junior scrum master to agile coach, head of agile, and director of agile transformation.

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 Technical Support

Technical Support is essential to ensure customer satisfaction and retention. Support professionals resolve technical issues, document solutions, and identify patterns that can lead to product improvements.

Key skills include troubleshooting, customer service, technical documentation, ITIL knowledge, and ticketing tools (Zendesk, Freshdesk, Intercom).

Technical support has evolved from a reactive to a proactive function, with high-level professionals working in Customer Engineering and Support Engineering.

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 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

The US market is fiercely competing for top-tier talent. Startups and tech giants are looking for highly skilled professionals ready to collaborate across different time zones in fully remote environments. That is exactly why Mondywork exists. Our proprietary algorithm scans the largest global Job Boards to find verified, high-paying, and 100% remote Tech, Design, and Marketing opportunities.

Don't miss the chance to ride the biggest technological revolution of our generation.

👉 Subscribe now to Mondywork's Job Alerts


Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).