Carewell
Carewell
„Carewell“ yra sveikatos priežiūrai skirta e. prekybos įmonė, padedanti žmonėms ir šeimoms internetu rasti medicinos, asmens priežiūros ir kasdienio gyvenimo reikmenų. Jos asortimente yra šlapimo nelaikymo ir suaugusiųjų priežiūros priemonių, enterinės mitybos ir maitinimo reikmenų, judėjimo pagalbos priemonių, žaizdų priežiūros ir pirmosios pagalbos reikmenų, motinos ir kūdikio priežiūros prekių, vaistų ir gydymo priemonių bei namų ūkio prekių. „Carewell“ taip pat padeda reguliariai apsipirkti pasinaudojant „Autoship“ sutaupymo galimybėmis ir teikia išteklių, susijusių su sveikatos priežiūros konsultacijomis bei mitybos priežiūros koordinavimu.

Business Insights Analyst

Build dashboards, financial reports, and SQL analyses to guide decisions across Carewell’s caregiving e-commerce business. Use AI tools in daily analysis to support cross-functional work and measurable outcomes.

Aprašymas

  • Create reports and dashboards that let teams track performance in their areas.
  • Investigate the business drivers behind changes in key metrics.
  • Work with stakeholders to inform strategic decisions with data.
  • Select relevant KPIs and establish ongoing measurement.
  • Prepare and maintain monthly financial reports, with analysis of revenue, margins, and costs.
  • Retire or streamline reports that no longer inform decisions.
  • Assess marketing efficiency, including customer acquisition cost, lifetime value, spending, and channel performance.
  • Evaluate merchandising, revenue, profit, margins, products, and categories.
  • Study customer cohorts, retention, repeat purchases, and Autoship performance.
  • Track Care Services productivity, throughput, service levels, and staffing efficiency.
  • Turn stakeholder input into testable hypotheses and measurable opportunities.
  • Set up tracking before changes are made, measure results, and refine hypotheses or tracking as needed.
  • Collaborate with stakeholders ranging from individual contributors to senior leaders.
  • Explain technical, data-heavy findings in clear, accessible language.
  • Understand table structures and data models well enough to guide the redesign of existing tables.
  • Write complex, efficient SQL without assistance.
  • Use Claude, Claude Code, Claude Cowork, and Hex in day-to-day analysis.
  • Raise data model or table structure issues instead of repeatedly working around them.

Reikalavimai

  • Bring 3–5 years of experience in analytics, business intelligence, reporting, or a closely related analytical field.
  • Have demonstrated experience working across business functions such as marketing, product, finance, and operations.
  • Use SQL confidently, including complex analytical queries, multi-table joins, and aggregations at different levels of detail.
  • Understand relational table structures and data modeling fundamentals.
  • Have experience with modern reporting platforms such as Hex, Looker, or Omni.
  • Be ready to use AI tools such as Claude, ChatGPT, Copilot, or similar in practical, hands-on work from the outset.
  • E-commerce or direct-to-consumer experience is strongly preferred; service-business experience is also valuable.
  • Provide a specific example of a report or metric you developed that changed a stakeholder’s decision.
  • Communicate clearly in writing and conversation, and feel comfortable presenting findings to stakeholders at all levels.
  • Show a clear interest in advancing analytical skills rather than pursuing a management path.
  • A degree in a quantitative, business, or related discipline is preferred.

Privalumai

  • Competitive pay.
  • Health, dental, and vision coverage.
  • Employer-paid short-term disability and life insurance.
  • Long-term disability coverage.
  • Optional employee-paid supplemental life insurance.
  • 401(k) retirement plan.
  • Fully remote work.
  • Generous paid time off and six paid holidays.
  • Employee discount.

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