Business Insights Analyst, Remote US

About the role

About Carewell

Are you an impact-driven problem solver who is passionate about making a difference in the lives of others while contributing to a fast growing start-up? Join Carewell and be a part of a team that creates impactful solutions for caregivers and their unique challenges. We're looking for hardworking individuals committed to raising the bar and striving for impact, scalability, and simplicity. Build your career with Carewell, a category-defining business dedicated to making caregiving easier.

Our Data Philosophy

We build for leverage, not volume. That means self-service by default — stakeholders should be able to answer their own questions, with us as partners on the analysis that actually requires one. It means building everything so it can be used by LLMs, not just people; AI tooling isn't perfect, but we'd rather work at its edge than wait for it to be easy. And it means impact above all: we prioritize work with a measurable effect on the business, and we say no to work that doesn't move it forward.

About the Role

Carewell runs on a mix of e-commerce fundamentals and service delivery — merchandising, marketing, and revenue on one side; Care Services and customer support on the other. As the Business Insights Analyst, your role exists to make sure every part of that business can see, in numbers, whether it's working.

You won't be reporting the news. You'll be figuring out what's actually driving the number to move, building the report or tracker that lets a stakeholder self-monitor going forward, and helping them land on the levers worth pulling next. You'll work across financial reporting, marketing efficiency, merchandising and margin, customer cohort behavior, and Care Services productivity — not as a subject matter expert in any one of them, but as someone who's demonstrated, repeatedly, that they can get fluent in a new part of a business fast enough to build something useful in it.

This role reports to the Sr. Director of Analytics & Data Engineering, who owns the canonical data model and BI architecture. You won't own that architecture — but you'll work inside it daily, and you'll need to understand table structure well enough to direct how existing tables should be re-engineered to support the analysis you're building.

This is a role built for someone who wants to go deep on the analysis and the business itself, not climb toward people management. We're looking for 3–5 years of experience and someone who's genuinely excited about spending the next several years getting better at this craft, not treating it as a one-year stepping stone.

What You’ll Do

Build Reports That Drive Action, Not Just Reporting

Design and build reports and dashboards that help stakeholders self-monitor their part of the business

Go beyond "what happened" to "what's driving it" — identify the underlying business drivers behind metric movement

Partner with stakeholders to use data to drive strategic business decisions

Help identify the KPIs a given team or function should actually be watching, and build the reporting that tracks them on an ongoing basis

Build and maintain monthly financial reports, incorporating light financial analysis across revenue, margin, and cost lines

Retire or simplify reports that no longer drive decisions, so stakeholders aren't left sorting signal from noise

Work Across the Business

Marketing efficiency analysis: CAC, LTV, spend efficiency, channel-level performance

Merchandising, revenue, and profit/margin analysis: product- and category-level performance, margin drivers

Customer cohort behavior: retention curves, repeat purchase patterns, Autoship performance

Care Services productivity analysis: throughput, service-level metrics, staffing efficiency

No single one of these needs to be a specialty coming in — you'll need to show you can ramp into a new analytical domain and produce something useful, not just competent, in it

Turn Feedback Into Measurable Levers

Take stakeholder input — a hunch, a complaint, an open question — and turn it into a concrete, testable hypothesis about what lever to pull

Build the tracking needed to measure results once that lever is pulled, before the lever is pulled, not after

Close the loop — report back on whether the lever worked, and adjust the tracking or the hypothesis if it didn't

Flag when a stakeholder's request points to a bigger underlying question worth raising, rather than just answering exactly what was asked

Communicate Across the Organization

Work directly with stakeholders at every level, from individual contributors to senior leadership

Strong, clear written and verbal communication is required; polished presentation skills are not

Translate technical or data-heavy findings into plain language a non-analytical stakeholder can act on

Work With the Data Foundation (Not Own It)

Understand table structure and data model design well enough to give clear direction on how existing tables should be re-engineered to support your analysis

Write complex, efficient SQL to build and maintain your own analytical queries independently

Use AI tools (Claude, Claude Code, Claude Cowork) and Hex as part of your everyday workflow — from day one, not as a learning curve

Escalate data model or table-structure issues to rather than working around them repeatedly

Outcomes You’ll Drive

Actionable, Not Just Accurate: Reports and dashboards that lead stakeholders to a decision or a lever to pull, not just a status update

Trusted Monthly Financials: Monthly financial reporting that's accurate, timely, and consistent enough for leadership to rely on without re-checking it

KPIs That Stick: Self-monitoring metrics and dashboards that teams actually keep using — not built once and abandoned

Levers Tracked to Results: A clear record of levers identified from stakeholder input, with tracking in place to show whether each one worked

Cross-Functional Fluency: Demonstrated ability to ramp into a new part of the business (Marketing, Merchandising, Finance, Care Services) and produce useful analysis within it, without requiring deep subject-matter ramp-up time

Day-One AI Leverage: Visible, practical use of AI tools in the analytical workflow from the start — faster turnaround and broader coverage than a comparable analyst working without them

What You’ll Bring

3–5 years of experience in analytics, business intelligence, reporting, or a closely related analytical role

Demonstrated experience working across multiple functional areas of a business (i.e. marketing, product, finance, operations)

Strong SQL skills — comfortable writing complex analytical queries independently, including joins across multiple tables and aggregations at different levels of grain

Working understanding of relational table structure and data modeling concepts — able to read an existing schema and identify where it should change to support new analysis

Proven experience with modern reporting tools (Hex, Looker, Omni, Etc.)

Practical, hands-on experience using AI tools (e.g., Claude, ChatGPT, Copilot, or similar) to accelerate analytical work — able to apply this productively from day one, not as something to be trained on

E-commerce or DTC experience strongly preferred; service-business experience (support, care, or operations) also valuable given Carewell's Care Services function

A specific example, from a past role, of a report or metric you built that changed a stakeholder's decision — not just informed it

Strong written and verbal communication skills; comfort presenting findings to stakeholders at all levels

A track record that suggests genuine interest in going deep on analytical craft over the next several years, rather than using this as a fast step toward a management track

Degree in a quantitative, business, or related field preferred

What We Offer

Competitive compensation

Health, Dental, and Vision insurance

Short-term Disability and Life Insurance (100% employer-sponsored)

Long-term Disability

Supplemental Life Insurance (employee-sponsored)

401(k) Retirement Plan

100% Remote

Generous paid time off and 6 paid holidays

Employee discount

Learn more about the Carewell story .

Carewell is a category-defining business that is dedicated to providing the most trusted and reputable retail source for caregiving products. Our vast selection of expert-vetted products includes incontinence supplies, wound care, nutrition, mobility aids, and more, all available at the best prices with fast, reliable shipping. We are proud to have been recognized as one of the fastest-growing companies in the US, ranked on the Inc. 5000, and named one of the most customer-centric companies in the world by Forbes in 2022. At Carewell, we understand the importance of caregiving, and we strive to provide the highest quality products to help caregivers provide the best care possible for their loved ones.

As the number of older adults in the US grows, the need for caregiving solutions will only increase. By joining Carewell, you will have the opportunity to work in a space that is constantly evolving, with new challenges and opportunities for growth. We are committed to being architects of our own success, always striving to improve our teams, partnerships, and solutions to ensure impact, scalability, and simplicity. As a member of our team, you will have the opportunity to collaborate with like-minded individuals, using customer insights, data, research, and feedback to make decisions and create the most effective solutions. If you are ready to join a team of dedicated individuals who are committed to making a difference in the world, Carewell is the place for you.

Posting text as published by Carewell.

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