Pay
Higher than most similar jobs
$140K–$160K against $94.7K–$144K, the middle half of what similar US postings state.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Senior Data Analyst, Client Reporting
- Pay
$140,000–160,000/year · BaseAnnual period assumed — pay source
Experience with dbt and modern cloud data warehouses, with the ability to build and maintain reliable, well-documented data models. The US base salary range for this full-time position is $140,000.00 to $160,000.00. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the annual salary only, and do not include equity or benefits. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote US
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingHello Heart is growing and looking for a Senior Data Analyst, Client Reporting to join our Data Science and Analytics group and help drive business decisions across the company.
Reporting into our Manager, Data Analytics, you will work closely with analysts, data scientists, and engineers across the data team.
Define and manage data collection requirements across systems and functions to enable consistent reporting, analysis, and insight generation.
Build and maintain robust, interactive dashboards that enable self-service reporting for Customer Success, go-to-market, and product teams.
Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives, internal stakeholders, and external partners.
From the employer’s posting
Hello Heart is growing and looking for a Senior Data Analyst, Client Reporting to join our Data Science and Analytics group and help drive business decisions across the company. In this role, you will focus primarily on client reporting, clinical outcomes analysis, and the data insights that help our Customer Success and go-to-market teams demonstrate Hello Heart’s impact to clients.
Reporting into our Manager, Data Analytics, you will work closely with analysts, data scientists, and engineers across the data team. You will also partner cross-functionally with Customer Success, Sales, Marketing, Finance, Product, Medical Affairs, and other go-to-market teams to deliver accurate, actionable reporting for internal stakeholders and external client audiences.
Partner with cross-functional teams, including Customer Success, Sales, Marketing, Product, Finance, and Medical Affairs, to understand business needs and deliver actionable analyses. Define and manage data collection requirements across systems and functions to enable consistent reporting, analysis, and insight generation. Use SQL to build, update, optimize, and maintain complex queries and reporting workflows that support client reporting and broader go-to-market decision-making.
Use SQL to build, update, optimize, and maintain complex queries and reporting workflows that support client reporting and broader go-to-market decision-making. Build and maintain robust, interactive dashboards that enable self-service reporting for Customer Success, go-to-market, and product teams. Proactively explore data to identify patterns, trends, risks, and opportunities that can improve client outcomes, business growth, and operational efficiency.
Proactively explore data to identify patterns, trends, risks, and opportunities that can improve client outcomes, business growth, and operational efficiency. Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives, internal stakeholders, and external partners. Identify opportunities to automate recurring reporting, improve data quality, and scale reporting processes through SQL, AI, and modern analytics tools.
What you’ll bring
All qualificationsCore experience
- Experience using generative AI and agent-based tools to improve productivity, automate repeatable workflows, accelerate analysis, and strengthen reporting quality.
- 3+ years of experience in SQL, reporting, data analysis, visualization, or a related analytics role.
- Experience with business intelligence and analytics tools, such as Looker, Tableau, Power BI, Redash, or similar platforms.
- Bachelor’s degree in a quantitative or business field, or equivalent work experience.
Preferred experience
- Experience working with medical claims data, clinical outcomes data, healthcare data, or digital health data.
- Experience with Python, R, MATLAB, or other data and statistical analysis tools.
- Experience working with data pipelines or data engineering tools, such as Apache Airflow or Databricks.
- Experience preparing executive-ready data visualizations, client business reviews, or customer-facing analytics presentations.
Qualification wording
Experience using generative AI and agent-based tools to improve productivity, automate repeatable workflows, accelerate analysis, and strengthen reporting quality.
3+ years of experience in SQL, reporting, data analysis, visualization, or a related analytics role.
Experience with business intelligence and analytics tools, such as Looker, Tableau, Power BI, Redash, or similar platforms.
Bachelor’s degree in a quantitative or business field, or equivalent work experience.
Experience working with medical claims data, clinical outcomes data, healthcare data, or digital health data.
Experience with Python, R, MATLAB, or other data and statistical analysis tools.
Experience working with data pipelines or data engineering tools, such as Apache Airflow or Databricks.
Experience preparing executive-ready data visualizations, client business reviews, or customer-facing analytics presentations.
Education & alternatives
- Professional experience supporting client reporting, customer success analytics, go-to-market analytics, value analytics, or business operations analytics. - Bachelor’s degree in a quantitative or business field, or equivalent work experience. Preferred Qualifications
About Hello Heart
Hello Heart is on a mission to make heart attacks a thing of the past.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 5 and day 41.
From 11,161 similar postings that came down. Coming down is not always a hire.
Hello Heart is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- MATLAB
- Python
- R
- SQL
- Databricks
- dbt
- Looker
- Power BI
- Tableau
- Airflow
Where the posting names them
- Experience working with medical claims data, clinical outcomes data, healthcare data, or digital health data. - Experience with Python, R, MATLAB, or other data and statistical analysis tools. - Experience working with data pipelines or data engineering tools, such as Apache Airflow or Databricks.
- Define and manage data collection requirements across systems and functions to enable consistent reporting, analysis, and insight generation. - Use SQL to build, update, optimize, and maintain complex queries and reporting workflows that support client reporting and broader go-to-market decision-making. - Build and maintain robust, interactive dashboards that enable self-service reporting for Customer Success, go-to-market, and product teams.
- Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives, internal stakeholders, and external partners. - Identify opportunities to automate recurring reporting, improve data quality, and scale reporting processes through SQL, AI, and modern analytics tools. Qualifications
- Experience using generative AI and agent-based tools to improve productivity, automate repeatable workflows, accelerate analysis, and strengthen reporting quality. - 3+ years of experience in SQL, reporting, data analysis, visualization, or a related analytics role. - Advanced SQL skills, including experience building, updating, optimizing, and maintaining complex queries for business reporting.
- 3+ years of experience in SQL, reporting, data analysis, visualization, or a related analytics role. - Advanced SQL skills, including experience building, updating, optimizing, and maintaining complex queries for business reporting. - Experience with business intelligence and analytics tools, such as Looker, Tableau, Power BI, Redash, or similar platforms.
- Experience with Python, R, MATLAB, or other data and statistical analysis tools. - Experience working with data pipelines or data engineering tools, such as Apache Airflow or Databricks. - Experience preparing executive-ready data visualizations, client business reviews, or customer-facing analytics presentations.
- Experience preparing executive-ready data visualizations, client business reviews, or customer-facing analytics presentations. - Experience with dbt and modern cloud data warehouses, with the ability to build and maintain reliable, well-documented data models. The US base salary range for this full-time position is $140,000.00 to $160,000.00. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the annual salary only, and do not include equity or benefits.
- Advanced SQL skills, including experience building, updating, optimizing, and maintaining complex queries for business reporting. - Experience with business intelligence and analytics tools, such as Looker, Tableau, Power BI, Redash, or similar platforms. - Professional experience supporting client reporting, customer success analytics, go-to-market analytics, value analytics, or business operations analytics.
Your next step
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Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
About Hello Heart:
Hello Heart is on a mission to make heart attacks a thing of the past.
We’re an AI company focused exclusively on heart health, building a platform that predicts and prevents cardiac events before they happen—identifying risk up to 10 days in advance versus 10 years in traditional clinical models.
This is already working at scale. Hello Heart has been shown to reduce inpatient hospital days by 47% and deliver ~$1,800 in annual savings per member. Hello Heart is the cardiac prevention partner to over 80% of large U.S. health plans and serves hundreds of public and private employers.
We’re defining how the #1 cause of death—heart disease—is managed in the AI era. Join us.
About the Role
Hello Heart is growing and looking for a Senior Data Analyst, Client Reporting to join our Data Science and Analytics group and help drive business decisions across the company. In this role, you will focus primarily on client reporting, clinical outcomes analysis, and the data insights that help our Customer Success and go-to-market teams demonstrate Hello Heart’s impact to clients.
Reporting into our Manager, Data Analytics, you will work closely with analysts, data scientists, and engineers across the data team. You will also partner cross-functionally with Customer Success, Sales, Marketing, Finance, Product, Medical Affairs, and other go-to-market teams to deliver accurate, actionable reporting for internal stakeholders and external client audiences.
Responsibilities
- Collaborate with the Customer Success team to create, maintain, and present high-quality client reporting materials for Hello Heart clients, including Fortune 500 customers, that highlight clinical outcomes, engagement, impact, and return on investment.
- Summarize and analyze clinical outcomes, feature usage, engagement trends, and data patterns to support compelling client, marketing, and commercial materials.
- Partner with cross-functional teams, including Customer Success, Sales, Marketing, Product, Finance, and Medical Affairs, to understand business needs and deliver actionable analyses.
- Define and manage data collection requirements across systems and functions to enable consistent reporting, analysis, and insight generation.
- Use SQL to build, update, optimize, and maintain complex queries and reporting workflows that support client reporting and broader go-to-market decision-making.
- Build and maintain robust, interactive dashboards that enable self-service reporting for Customer Success, go-to-market, and product teams.
- Proactively explore data to identify patterns, trends, risks, and opportunities that can improve client outcomes, business growth, and operational efficiency.
- Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives, internal stakeholders, and external partners.
- Identify opportunities to automate recurring reporting, improve data quality, and scale reporting processes through SQL, AI, and modern analytics tools.
Qualifications
- Experience using generative AI and agent-based tools to improve productivity, automate repeatable workflows, accelerate analysis, and strengthen reporting quality.
- 3+ years of experience in SQL, reporting, data analysis, visualization, or a related analytics role.
- Advanced SQL skills, including experience building, updating, optimizing, and maintaining complex queries for business reporting.
- Experience with business intelligence and analytics tools, such as Looker, Tableau, Power BI, Redash, or similar platforms.
- Professional experience supporting client reporting, customer success analytics, go-to-market analytics, value analytics, or business operations analytics.
- Bachelor’s degree in a quantitative or business field, or equivalent work experience.
Preferred Qualifications
- Experience working with medical claims data, clinical outcomes data, healthcare data, or digital health data.
- Experience with Python, R, MATLAB, or other data and statistical analysis tools.
- Experience working with data pipelines or data engineering tools, such as Apache Airflow or Databricks.
- Experience preparing executive-ready data visualizations, client business reviews, or customer-facing analytics presentations.
- Experience with dbt and modern cloud data warehouses, with the ability to build and maintain reliable, well-documented data models.
The US base salary range for this full-time position is $140,000.00 to $160,000.00. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the annual salary only, and do not include equity or benefits.
Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience with dbt and modern cloud data warehouses, with the ability to build and maintain reliable, well-documented data models. The US base salary range for this full-time position is $140,000.00 to $160,000.00. Salary ranges are determined by role and level. Compensation is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the annual salary only, and do not include equity or benefits. Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.
- Location & working pattern
Remote US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.