Spring Health
Spring Health

60 Spring Health Data Analyst Jobs Hiring Near You

Senior Data Analyst, Specialty Care

New York, NY · Remote

$94.10K - $118.70K/yr

At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier ... We are hiring a Senior Data Analyst within our Business Intelligence organization to work with our ...

Senior Data Analyst, Customer Value

New York, NY · Remote

$94.10K - $118.70K/yr

At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier ... We are hiring a Senior Data Analyst within our Business Intelligence organization to work with the ...

Analytics Engineer II, Identity

New York, NY

$106.70K - $146.10K/yr

... Health is growing our Analytics Engineering team. Analytics Engineering at Spring sits within the Business Intelligence organization and owns core reporting infrastructure used by all downstream data ...

Staff AI Security Engineer

San Francisco, CA · Hybrid

$239.20K - $270K/yr

Define and evolve our AI security strategy to protect highly sensitive mental health data across ... Benefits provided by Spring Health: Note : We have even more benefits than listed here and below ...

Senior Actuarial Scientist

New York, NY · Hybrid

$159K - $196.48K/yr

Spring Health is seeking a Senior Actuarial Scientist to join our Customer Value team. Reporting to ... Query databases using SQL to extract and analyze data to inform model assumptions * Communicate the ...

Senior Actuarial Scientist

New York, NY · On-site +1

$159K - $196.48K/yr

At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier ... Query databases using SQL to extract and analyze data to inform model assumptions * Communicate the ...

Senior Actuarial Scientist

New York, NY · Hybrid

$159K - $196.48K/yr

At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier ... Query databases using SQL to extract and analyze data to inform model assumptions * Communicate the ...

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Spring Health Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What is it like to work at Spring Health?

Spring Health is a mission-driven company that prioritizes a culture of empathy, collaboration, and innovation, fostering a supportive and inclusive work environment.

As a digital mental health platform, Spring Health's team structure is designed to facilitate cross-functional collaboration, with various departments working together to develop and implement evidence-based mental health solutions. The company's work environment is modern and dynamic, with a focus on employee well-being and professional growth.

Working at Spring Health may appeal to candidates who are passionate about mental health, technology, and innovation, as the company offers opportunities to make a meaningful impact in the lives of individuals and communities, while also providing a dynamic and supportive work environment that encourages professional development and growth.
What are the most popular categories at Spring Health?
Infographic showing various Data Analyst job openings at Spring Health in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 20% Physical, 32% Hybrid, and 48% Remote job distribution.
Senior Data Analyst, Specialty Care

Senior Data Analyst, Specialty Care

Spring Health

New York, NY • Remote

$94.10K - $118.70K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Our mission: to eliminate every barrier to mental health.

At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

We are hiring a Senior Data Analyst within our Business Intelligence organization to work with our Specialty Care team.The Specialty Care team is dedicated to providing tailored support for members with complex or acute behavioral health conditions, including substance use disorders, trauma recovery, and neurodiversity needs. In this role, you will work closely with Specialty Care leadership to define KPIs, track outcomes, and conduct exploratory analyses that drive strategic decision-making and program evolution. You'll operate in a cross functional data team that includes data scientists and analytics engineers, all of whom are working towards this goal with you. This is a full time, remote position on our team reporting to the Associate Director, Analytics. Occasional travel may be required for company or team meetings/events.

What you'll do:

  • Partner with the Specialty Care Operations team to define, refine, and evolve key metrics and KPIs as the program scales across new conditions and services.
  • Build and maintain dashboards and data visualizations in business intelligence tools (ex: Looker, Hex, Omni) that empower non-technical users to monitor member engagement, clinical outcomes, and operational efficiency.
  • Conduct exploratory and ad-hoc analyses to answer emerging business questions, such as evaluating early engagement in new services or understanding potential impacts of platform changes.
  • Identify trends and gaps in program performance and recommend opportunities for improvement based on data-driven insights.
  • Support data integrity efforts by contributing to dbt models and ensuring consistent, scalable data structures across Specialty Care programs.
  • Partner with data, product, and engineering teams to ensure the Specialty Care team has access to the necessary data sources for comprehensive reporting.
  • Serve as a data advisor and thought partner for Specialty Care leadership, proactively shaping how success is measured and informing future strategic initiatives.
  • Partner with the data science team to dive deeper into major trends, helping us understand what is driving those changes.
  • Ensure downstream teams can access and utilize data effectively by providing training, documentation and support for the dashboards and data products you deliver.
  • Ensure accurate and consistent reporting of metrics, collaborating with cross-functional stakeholders to ensure data alignment across the business.
  • Work with our analytics engineering team to maintain the core data models in dbt that support these metrics and ensure data consistency.

What success looks like in this role:

  • Develop tools and analyses that enable the teams you work with to hit their own KPIs - you're successful when you help your team be successful!
  • Reduce the amount of time teams spend manually pulling data to inform decisions
  • Develop dashboards and analyses that deliver ongoing value to teams, measured in proxy by the number of monthly active users and total views different dashboards and analyses receive.
  • Contribute to our foundational data model by adding additional fields and tables according to our data style guide

What you'll bring:

  • You are passionate about changing the face of mental health care and Spring Health's mission to remove all barriers to mental health resonates with you
  • You are an early adopter of AI and automation tools, you actively experiment with LLMs, AI-assisted analytics, and emerging tooling to accelerate your work and surface insights faster.
  • You have 5+ years of working experience working with data, data visualization, and dashboarding tools
  • You are an expert in SQL, and have at least familiarity with dbt or similar data transformation tools
  • You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate
  • You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards
  • You focus on impact, finding the things you can deliver that provide the most value for your stakeholders
  • You have exceptional communication skills, are comfortable explaining technical concepts to a non-technical audience, and are comfortable working independently with executive level team members
  • You are humble, highly motivated, and thrive in fast-paced environments
  • You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
  • You have a passion for successfully navigating ambiguous problem areas and learning new approaches


The target base salary range for this position is $125,000 - $142,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

  • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
  • Employer sponsored 401(k) match of up to 2% for retirement planning
  • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
  • We offer competitive paid time off policies including vacation, sick leave and company holidays.
  • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
  • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals.
  • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
  • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
  • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
  • Up to $1,000 Professional Development Reimbursement a year.
  • $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.