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 is looking for a Senior Data Analyst to join our Data Science and Analytics group and help drive business decisions across the company. In this role, you will uncover data insights and provide ad-hoc analytics support to our teams across the entire organization. Reporting to our Analytics Team Lead, you will have many opportunities to learn and expand data skills by working with our growing data team of analysts, scientists, and engineers. The data team works cross-functionally with the Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success teams. Responsibility: Partner with cross-functional teams (Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success) to understand business needs and deliver actionable analyses. Proactively explore data to identify patterns, trends, and opportunities that can drive business growth and operational improvements. Define and manage data collection requirements across systems and functions to enable consistent reporting and insight generation. Develop, optimize, and automate data pipelines using SQL, AI, and modern data engineering tools to deliver timely, accurate reporting at scale. Build and maintain robust, interactive dashboards to enable self-service capabilities and reporting among our GTM and product teams. Identify opportunities for process improvement and driving efficiencies across the data landscape Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives and external partners. The ideal candidate will be: A powerhouse data analyst. Data-driven, lives, breathes and dreams data and gets excited to analyze complex data sets, come up with new insights and solutions that are applicable in business settings. AI-forward in how they operate. You actively use GenAI to automate repetitive work, streamline analysis and reporting, and continuously find new ways to scale your output Strong data skills - data hygiene, sanity checks, etc. Highly independent with strong problem-solving abilities and a go-getter. Strong written and verbal communications skills Highly organized, able to multitask and easily adapt to change. A strong team player that can work with multiple functions within the company. Entrepreneurial, self-sufficient, and thrive in fast-paced environments. Qualifications: BA/BS degree in quantitative or business fields, or equivalent work experience 5+ years of experience with advanced skills in SQL, reporting, data analysis, and/or visualization 5+ years of experience with Python for data analytics / data science projects 5+ years of experience working with BI/Analytics tools (e.g. Looker, Tableau, PowerBI, etc.) Professional experience supporting data needs across various departments, such as marketing, product, finance, etc. The US base salary range for this full-time position is $145,000.00 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 .

Requirements

Must-haves

Partner with cross-functional teams (Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success) to understand business needs and deliver actionable analyses.
Proactively explore data to identify patterns, trends, and opportunities that can drive business growth and operational improvements.
Define and manage data collection requirements across systems and functions to enable consistent reporting and insight generation.
Develop, optimize, and automate data pipelines using SQL, AI, and modern data engineering tools to deliver timely, accurate reporting at scale.
Build and maintain robust, interactive dashboards to enable self-service capabilities and reporting among our GTM and product teams.
Identify opportunities for process improvement and driving efficiencies across the data landscape
Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives and external partners.
A powerhouse data analyst. Data-driven, lives, breathes and dreams data and gets excited to analyze complex data sets, come up with new insights and solutions that are applicable in business settings.
AI-forward in how they operate. You actively use GenAI to automate repetitive work, streamline analysis and reporting, and continuously find new ways to scale your output
Strong data skills - data hygiene, sanity checks, etc.
Highly independent with strong problem-solving abilities and a go-getter.
Strong written and verbal communications skills
Highly organized, able to multitask and easily adapt to change.
A strong team player that can work with multiple functions within the company.
Entrepreneurial, self-sufficient, and thrive in fast-paced environments.
BA/BS degree in quantitative or business fields, or equivalent work experience
5+ years of experience with advanced skills in SQL, reporting, data analysis, and/or visualization
5+ years of experience with Python for data analytics / data science projects
5+ years of experience working with BI/Analytics tools (e.g. Looker, Tableau, PowerBI, etc.)
Professional experience supporting data needs across various departments, such as marketing, product, finance, etc.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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