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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.

 

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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 Sales

The Sales area is responsible for generating revenue and expanding the customer base. B2B and B2C sales professionals are fundamental for sustainable growth of any organization.

Key skills include prospecting, negotiation, CRM (Salesforce, HubSpot), sales enablement, and value consulting. The consultative and data-driven approach is increasingly valued.

Consultative sellers and senior Sales Managers have very high earning potential, with OTE (On-Target Earnings) that can exceed monthly salaries in technology companies.

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 Content Manager

The Content Manager is the professional responsible for leading the entire content strategy, production, and management of an organization. They define the editorial strategy, coordinate writing teams, and ensure content aligns with business goals and brand identity.

Key skills include content strategy, editorial planning, content audit, buyer persona, customer journey, content ops, content governance, performance metrics (ROI, engagement, organic traffic), and team management. Knowledge of WordPress, Contentful, Notion, and analytics tools is a differentiator.

Content Managers in technology companies are highly valued, especially those who can align content with conversion funnels, lead multidisciplinary teams, and use data to optimize editorial strategy. The field offers opportunities from content manager to head of content, with a focus on strategy, quality, and scale.

About Ecommerce Manager

The Ecommerce Manager is the professional responsible for the entire strategic and operational management of online stores and marketplaces. They lead teams, define pricing, promotion, and catalog strategies, and monitor online sales performance across multiple platforms.

Key skills include catalog management, dynamic pricing, seasonal campaigns (Black Friday, Cyber Monday), marketplace management (Amazon, Mercado Livre, Shopee, Magalu), paid traffic, CRO, and team management. Knowledge of Shopify, VTEX, WooCommerce, Google Ads, Meta Ads, and performance metrics is a differentiator.

Ecommerce Managers in technology companies are highly valued, especially those who master multi-marketplace management, checkout optimization, and mobile commerce strategies. The field offers opportunities from ecommerce manager to head of ecommerce, with a focus on revenue, customer experience, and growth.

About Product Management

Product Management is one of the most strategically relevant areas in technology organizations. The Product Manager is responsible for defining product vision, prioritizing features, and coordinating multidisciplinary teams to deliver value to users.

Essential skills include strategic thinking, data analysis, communication, leadership, and technical knowledge. Tools like Jira, Confluence, Miro, and analytics platforms are fundamental in daily work.

Salaries for PMs range from entry-level to senior positions at major tech companies, with growing opportunities for international remote work.

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Marketing Career Guide

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Finance Career Guide

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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 Current State of the Cloud & DevOps Market

By Mondywork | The ultimate guide for tech professionals looking to level up their careers, land global remote roles, and master modern infrastructure.

The End of the "SysAdmin" and the Rise of Platform Engineering

If you've been tracking the most sought-after roles at startups and Fortune 500 companies, you've probably noticed a drastic shift. The Cloud Computing and DevOps market is no longer just about "keeping the app online." Today, companies demand extreme resilience, automation, and cost optimization (the famous FinOps).

DevOps culture has evolved. We are now in the era of Platform Engineering, where infrastructure teams build internal platforms to grant developers full autonomy (Self-Service). For those aiming for global remote roles with six-figure compensation, understanding this transition isn't just a plus—it's a strict requirement.

"Elite DevOps teams deploy code 973 times more frequently and boast a Mean Time To Recovery (MTTR) that is 6,570 times faster than low-performing teams."

— State of DevOps Report (DORA / Google Cloud)

What Do Recruiters and ATS Systems Really Look For?

Automated filters (ATS platforms like Greenhouse, Ashby, and Workday) are hardwired to scan for a very specific set of skills in Cloud/DevOps resumes. Simply listing 20 tools won't cut it anymore; you must demonstrate culture and real-world impact.

  • Infrastructure as Code (IaC): Forget clicking around the AWS console. Declarative tools like Terraform, Pulumi, and Ansible are the true industry standards.
  • Container Orchestration: Mastery of Docker and, above all, Kubernetes (K8s) is practically mandatory for premium roles.
  • CI/CD Culture: Building automated pipelines (GitHub Actions, GitLab CI, ArgoCD) that guarantee continuous and secure deployments.
  • Cloud Providers and Architecture: Proficiency in at least one major public cloud provider (AWS, Google Cloud, or Microsoft Azure), with a strong focus on Serverless, microservices, and system resilience.

How to Transition: The Roadmap to Success

Many Back-End developers, support analysts, and network professionals want to pivot to Cloud and DevOps. If that's your goal, follow this market-validated roadmap:

  1. Master the Basics (Linux and Networking): Modern DevOps runs on Linux. Understanding permissions, processes, bash scripting, and the fundamentals of TCP/IP, DNS, and Load Balancers is your foundation.
  2. Learn to Code: A DevOps engineer doesn't need to be a Senior Developer, but you must know how to automate tasks. Python and Go (Golang) are currently the most highly valued languages in this ecosystem.
  3. Are Certifications Worth It? Yes, especially to get past the initial HR screening. Certifications like the AWS Certified Solutions Architect – Associate or the CKA (Certified Kubernetes Administrator) carry massive weight in the global market.
  4. Build a Real Portfolio: Publish a project on GitHub where you provision infrastructure via Terraform, set up a CI/CD pipeline using GitHub Actions, and deploy a simple app to a Kubernetes cluster. Practical projects always beat theoretical resumes.

Essential References and Study Links

To stay up-to-date, we highly recommend following official organizations and annual market reports:


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