Role: Data AnalystHRforGrowth® is engaged as the talent acquisition partner to conduct this search on behalf of a client organization that is hiring for this role. HRforGrowth is not the employer for this position. HRforGrowth identifies, evaluates, and presents top-tier candidates through its global talent acquisition practice; all employment decisions — including final selection, offer terms, compensation, and conditions of employment — are made solely by the hiring organization.Our Client is seeking an experienced Data Analyst to help enhance efficiency, product scalability, and data-driven operational decision-making. This role will perform critical data analysis and build data-driven solutions that enable engineering, product, leadership, and other internal teams to deliver transformative software solutions to healthcare providers.The successful candidate will work with large-scale data environments, develop analytics and visualizations, build scalable data products, improve internal tooling and operational workflows, and help maintain the organization's business intelligence infrastructure. The ideal candidate combines strong technical data skills with a product-oriented mindset and the ability to communicate complex data concepts clearly to both technical and non-technical stakeholders.
Location: San Francisco, CA; New York, NY; or Denver, COJob Type: Full-TimeWork Setup: Hybrid — 4 days per week in-office and 1 day remoteCompensation: $135,000 – $200,000 per yearVisa Sponsorship: Open to visa transfers, including OPT and H-1B transfers; sponsorship and relocation assistance are available.Key ResponsibilitiesPerform critical data analysis across a broad range of business, product, engineering, and operational use casesBuild analytics, dashboards, and visualizations that provide actionable insights to internal stakeholdersDeliver data-driven insights that support business strategy and operational decision-makingDevelop internal data products and tools that improve team efficiency, self-service capabilities, and operational workflowsBuild robust and scalable data models that support high-value data products and client needsWork with large-scale datasets and complex data environments to identify trends, opportunities, and areas for improvementDesign and maintain data workflows, ETL processes, and process automation solutionsOwn and support the implementation and ongoing maintenance of the BI platformMaintain reporting and visualization platforms to ensure data remains accurate, accessible, and availableCollaborate closely with engineering, product, leadership, and other cross-functional stakeholdersTranslate complex analytical findings into clear, actionable recommendationsHelp identify opportunities to improve data accessibility, tooling, operational efficiency, and product scalabilityContribute to the development of scalable data solutions that support evolving business and customer requirementsParticipate in continuous improvement of data processes, systems, and analytical capabilitiesRequired QualificationsBachelor's degree in Mathematics, Science, Engineering, or another data-intensive field of studyMinimum 4+ years of professional experience in data analysis, ETL, process automation, and data warehousing at scaleMinimum 3+ years of hands-on experience working with Snowflake, BigQuery, or RedshiftAdvanced SQL skills with experience working in complex, large-scale data environmentsExperience performing data analysis and developing actionable insights for business and operational decision-makingExperience building and maintaining scalable data models and data productsStrong understanding of how different users consume and leverage data, with the ability to develop appropriate insights, tools, and solutions for their needsExperience working with data warehouses and large-scale data environmentsExperience with dbt, Python, and TerraformStrong experience within the Google Cloud Platform / BigQuery ecosystemAbility to build analytics, reporting, and visualization solutions for a variety of stakeholdersStrong product-building mindset with the ability to develop solutions beyond basic reportingExcellent written and verbal communication skills, with the ability to explain complex data concepts clearly to technical and non-technical stakeholdersAbility to work effectively in an ambiguous, fast-paced environment and independently tackle complex problems with significant business impactPreferred Technical ExperienceExperience or exposure with the broader data and technology ecosystem, including:Google Cloud Platform (GCP)BigQuerySnowflakeRedshiftdbtPythonTerraformMetabaseETL and data automationBusiness intelligence and data visualization platformsPreferred BackgroundExperience working in a high-growth startup environment, particularly in a data analytics or data science capacityExperience building data products and internal tools rather than focusing exclusively on reportingExperience supporting engineering, product, and operational teams with scalable data solutionsExperience working directly with clients or customer-facing teams and translating their data needs into practical solutionsRole ExpectationsThe ideal candidate should demonstrate:Strong technical depth in SQL and large-scale data environmentsA product-oriented approach to data analyticsThe ability to turn ambiguous business problems into scalable data solutionsStrong ownership and accountability for data products and analytical initiativesClear and concise communicationComfort working with both technical and non-technical stakeholdersThe ability to explain complicated concepts in simple and actionable termsA willingness to work in a fast-paced, high-growth environmentBackgrounds That May Not Align With This RoleThe hiring organization is specifically seeking candidates with strong technical and product-building capabilities.
The following backgrounds may not align as closely with the role:Candidates whose experience is limited primarily to reporting without meaningful data-product or solution-building experienceCandidates whose professional background consists exclusively of slow-moving or large enterprise environments without demonstrated experience operating in a high-growth environmentContractor or consultant-only backgrounds without comparable full-time ownership of data products or analytics initiativesCandidates whose experience does not demonstrate advanced SQL capabilities in complex, large-scale data environmentsCandidates without meaningful hands-on experience with Snowflake, BigQuery, or RedshiftHealthcare experience alone is not a substitute for the required technical data experienceA Master's degree is not required; candidates with advanced degrees should also demonstrate the required professional data experience and a clear alignment with the roleAbout HRforGrowth:HRforGrowth is a full-service HR and talent partner built to support companies that are scaling, transforming, or navigating change. HRFG is globally recognized for delivering quality, speed, and cost-effective talent solutions across every level of the workforce. Through its global talent acquisition practice, HRforGrowth applies world class rigor and precision to identifying exceptional professional and executive talent on behalf of its clients — from temporary staffing to permanent hourly workers through to placing C-suite executives. HRforGrowth is presenting this opportunity in its capacity as the retained search partner and does not serve as the employer of record for this position.Equal Employment Opportunity:In its recruiting and search practices, HRforGrowth does not discriminate on the basis of race, color, religion, national origin, age, marital status, physical or mental disability, sex, sexual orientation, gender, or gender identity, and welcomes applications from all qualified individuals. HRforGrowth evaluates and presents candidates to its clients without regard to any protected characteristic.HRforGrowth endeavors to advise the hiring organization to comply with all applicable federal, state, and local equal employment opportunity laws — including those enforced by the U.S. Equal Employment Opportunity Commission (EEOC) — in its hiring decisions, terms of employment, and workplace practices.