Who We Are

Coverdash is the fastest growing startup and SMB focused-insurtech agency, powered by the industry’s most advanced embedded technology and partnership strategies. Our mission is to help growing businesses purchase and manage business insurance from the places they trust most. Our simple and powerful embedded technology helps partners offer insurance to existing customers with a single line of code.

Coverdash was founded by a team with deep fintech and financial services experience and is the first insurance-as-a-service platform. We have raised over $16 million to date from top investors including NYCA (Affirm, Fundbox, Acorns, Gemini), Bling Capital (Lyft, Square, Instacart, Palantir), World Insurance Labs (HubSpot, DocuSign, Twitter), Expansion VC (Postmates, AngelList, Lemonade).

Headquartered at our brand new state-of-the-art office in the heart of NYC, Coverdash remains a remote friendly working environment. Our rapidly growing team is a smart, dynamic, and fun-loving group privileged to be collaborating with some of the world’s most innovative embedded partners.

The Role

We are hiring a quantitative, analytically-driven operator to scale an entire revenue vertical built on strategic marketplace partnerships. This role has ownership of a high-growth business line centered on managing multiple external partnerships that operate on auction-based pricing dynamics.

This is a data-intensive role first, combined with business impact. You'll extract insights from large, unstructured datasets and translate them into actionable pricing strategies, partner management decisions, campaign optimizations, and internal distribution improvements that directly impact volume, conversion rates, and revenue efficiency. You'll be operating at the intersection of marketplace auction dynamics, deep data analysis, revenue operations, and strategic ownership- this isn't a support function; you'll be part of managing an entire P&L-driving revenue stream.

The ideal candidate gets energized by turning raw data into competitive advantage-someone who can analyze months of unstructured performance data across multiple sources and identify exactly which parameters to adjust, which pricing strategies to deploy, and which distribution approaches to implement to maximize ROI.

What You’ll Do

• Extract, transform, and analyze large unstructured datasets from multiple platforms to build sophisticated analytical models that identify quality drivers, conversion predictors, and ROI patterns

• Build and maintain dashboards and reporting infrastructure that provide real-time visibility into campaign performance, pricing efficiency, and unit economics

• Design and implement A/B tests and forecasting models to continuously optimize pricing strategies, campaign parameters, and distribution logic

• Master marketplace auction mechanics and develop sophisticated pricing and arbitrage strategies at the campaign level, balancing volume goals with cost efficiency and conversion quality

• Manage strategic partner relationships and identify, evaluate, and onboard new partners that improve quality or cost efficiency

• Design and refine internal distribution systems to optimize lead routing based on conversion data and team performance patterns

• Own the end-to-end revenue funnel with full accountability for volume, conversion, efficiency, and scalability

Who You Are

Required

• 2-5 years of experience in a data analyst, analytics, or quantitative role - you've spent the majority of your career working with data

• SQL proficiency - comfortable writing complex SQL queries to pull data from a highly relational database to influence your decision making

• Expert-level spreadsheet skills - pivot tables, VLOOKUP/INDEX-MATCH, array formulas, and statistical functions

• Experience with data visualization tools (Tableau, Looker, Mode, Metabase, or similar) building dashboards that drive decision-making

• Statistical literacy - you understand statistical significance, correlation vs. causation, sample sizes, and confidence intervals

• Proven ability to work with messy, unstructured data - you know how to clean and synthesize incomplete data from multiple sources

• Track record of turning analysis into action - specific examples where your data work directly led to measurable business improvements

• Revenue operations or growth analytics experience - you understand funnels, conversion rates, unit economics, and LTV:CAC

• Excellent communication skills - you translate complex analytical findings into clear, actionable recommendations for non-technical stakeholders

Nice to Have

• Python or R for statistical analysis and data manipulation

• Experience in marketplace analytics, revenue operations, funnel optimization, or growth strategy (Fintech/Insurtech experience a strong plus).

• Marketplace bid optimization or auction dynamics

Work Environment

• Candidates in New York market follow a hybrid schedule with 4 days per week in NYC office

• Candidates outside the NYC Market may work fully remote from anywhere in the US

• Working hours aligned to your time zone:

  • East Coast: 9:00am to 6:00pm ET

  • West Coast: 8:00am to 5:00pm PT

Why Coverdash?

• Manage an entire revenue stream at a high-growth, venture-backed startup - this isn't a cog-in-the-machine analyst role

• Work on genuinely complex analytical problems with real business impact and immediate visibility

• Join at an inflection point - we’ve achieved profitability and are scaling from 50 to 150+ employees in the next 18-24 months

Collaborate with exceptional people who value data-driven decision making, intellectual curiosity, and continuous learning

Compensation
Our salary ranges are based on paying competitively for our size and industry and are one part of our total compensation package that also includes benefits and other perks.

Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, skill set, location, and business need. The base pay range provided is subject to change and may be modified in the future.

Coverdash is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Compensation Range: $120K - $140K