Data Analyst

Role:Data Analyst

HRforGrowth 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 organizations 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 CO
Job Type: Full-Time
Work Setup: Hybrid 4 days per week in-office and 1 day remote
Compensation: $135000 $200000 per year
Visa Sponsorship: Open to visa transfers including OPT and H-1B transfers; sponsorship and relocation assistance are available.

Key Responsibilities

• Perform critical data analysis across a broad range of business product engineering and operational use cases.
• Build analytics dashboards and visualizations that provide actionable insights to internal stakeholders.
• Deliver data-driven insights that support business strategy and operational decision-making.
• Develop internal data products and tools that improve team efficiency self-service capabilities and operational workflows.
• Build robust and scalable data models that support high-value data products and client needs.
• Work with large-scale datasets and complex data environments to identify trends opportunities and areas for improvement.
• Design and maintain data workflows ETL processes and process automation solutions.
• Own and support the implementation and ongoing maintenance of the BI platform.
• Maintain reporting and visualization platforms to ensure data remains accurate accessible and available.
• Collaborate closely with engineering product leadership and other cross-functional stakeholders.
• Translate complex analytical findings into clear actionable recommendations.
• Help identify opportunities to improve data accessibility tooling operational efficiency and product scalability.
• Contribute to the development of scalable data solutions that support evolving business and customer requirements.
• Participate in continuous improvement of data processes systems and analytical capabilities.

Required Qualifications

• Bachelors degree in Mathematics Science Engineering or another data-intensive field of study.
• Minimum 4 years of professional experience in data analysis ETL process automation and data warehousing at scale.
• Minimum 3 years of hands-on experience working with Snowflake BigQuery or Redshift.
• Advanced SQL skills with experience working in complex large-scale data environments.
• Experience performing data analysis and developing actionable insights for business and operational decision-making.
• Experience building and maintaining scalable data models and data products.
• Strong understanding of how different users consume and leverage data with the ability to develop appropriate insights tools and solutions for their needs.
• Experience working with data warehouses and large-scale data environments.
• Experience with dbt Python and Terraform.
• Strong experience within the Google Cloud Platform / BigQuery ecosystem.
• Ability to build analytics reporting and visualization solutions for a variety of stakeholders.
• Strong product-building mindset with the ability to develop solutions beyond basic reporting.
• Excellent written and verbal communication skills with the ability to explain complex data concepts clearly to technical and non-technical stakeholders.
• Ability to work effectively in an ambiguous fast-paced environment and independently tackle complex problems with significant business impact.

Preferred Technical Experience
Experience or exposure with the broader data and technology ecosystem including:

• Google Cloud Platform (GCP)
• BigQuery
• Snowflake
• Redshift
• dbt
• Python
• Terraform
• Metabase
• ETL and data automation
• Business intelligence and data visualization platforms

Preferred Background

• Experience working in a high-growth startup environment particularly in a data analytics or data science capacity.
• Experience building data products and internal tools rather than focusing exclusively on reporting.
• Experience supporting engineering product and operational teams with scalable data solutions.
• Experience working directly with clients or customer-facing teams and translating their data needs into practical solutions.

Role Expectations
The ideal candidate should demonstrate:

• Strong technical depth in SQL and large-scale data environments.
• A product-oriented approach to data analytics.
• The ability to turn ambiguous business problems into scalable data solutions.
• Strong ownership and accountability for data products and analytical initiatives.
• Clear and concise communication.
• Comfort working with both technical and non-technical stakeholders.
• The ability to explain complicated concepts in simple and actionable terms.
• A willingness to work in a fast-paced high-growth environment.

Backgrounds That May Not Align With This Role

The 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 experience.
• Candidates whose professional background consists exclusively of slow-moving or large enterprise environments without demonstrated experience operating in a high-growth environment.
• Contractor or consultant-only backgrounds without comparable full-time ownership of data products or analytics initiatives.
• Candidates whose experience does not demonstrate advanced SQL capabilities in complex large-scale data environments.
• Candidates without meaningful hands-on experience with Snowflake BigQuery or Redshift.
• Healthcare experience alone is not a substitute for the required technical data experience.
• A Masters degree is not required; candidates with advanced degrees should also demonstrate the required professional data experience and a clear alignment with the role

About 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.