Time since we first saw it
Day 29
Similar jobs usually come down between day 5 and day 41.
From 11,185 similar postings that came down. Coming down is not always a hire.
Senior Data Analyst, Product
Tel Aviv, Israel
Live, first seen by us 29 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingHello Heart is seeking a talented and impact-driven Senior Data Analyst, Product to join our ML team.
You will collaborate with a wide range of cross-functional partners across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success.
Design, run, and analyze A/B tests, including tests of ML-driven features
Set product goals and forecast key product and engagement metrics
Monitor how ML models perform in production and suggest improvements
Analyze large, complex datasets to find patterns and trends
Partner with product, engineering, data science, and clinical staff on strategy
From the employer’s posting
Hello Heart is seeking a talented and impact-driven Senior Data Analyst, Product to join our ML team. In this role, you will shape the future of the digital health products that help people understand and improve their heart health. By applying your technical skills, analytical mindset, and product intuition to rich real-world health and behavioral data, you will help define the experiences we build for our users and the value we deliver to employers and health plans.
You will collaborate with a wide range of cross-functional partners across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success. You will use data and analysis to identify and solve our biggest product challenges, influence product strategy and investment decisions, and translate insights into digital solutions that improve the well-being of the people we serve.
Design, execute, and analyze A/B tests, including tests of ML-driven features
Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product and engagement metrics.
Monitor and analyze the performance of our ML models in production, and generate insights and research leads for model improvements
Work with large and complex datasets, applying statistical analysis and visualization methods to extract meaningful patterns and trends.
Partner with Product, Engineering, Data Science, and healthcare professionals to inform and execute product strategy.
What you’ll bring
All qualificationsCore experience
- 4+ years of hands-on analytics or data science experience
- Bachelor's degree in a quantitative field
- Strong SQL skills
- Proficiency in Python (Pandas, NumPy, SciPy) and data visualization
- Experience testing ML model performance in production
Qualification wording
4+ years of hands-on experience in analytics or data science
Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.
Strong knowledge and experience with SQL.
Proficiency in Python (Pandas, NumPy, SciPy) and in data visualization.
Experience analyzing or testing the performance of ML models in production.
Education & alternatives
Requirements - Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field. - 4+ years of hands-on experience in analytics or data science, solving analytical problems using quantitative approaches.
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 error- Status in our records
- Live
- First seen by us
- Oct 7, 202629 days ago
- Recorded sightings
- 26
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
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.
- Python
- SQL
- NumPy
- pandas
- SciPy
Where the posting names them
- Strong knowledge and experience with SQL. - Proficiency in Python (Pandas, NumPy, SciPy) and in data visualization. - Familiarity with experimental design and statistical modeling techniques (e.g., Bayesian methods, propensity score matching).
- Proven experience leading data-driven projects from definition to execution, including defining metrics, designing experiments, and communicating actionable insights. - Strong knowledge and experience with SQL. - Proficiency in Python (Pandas, NumPy, SciPy) and in data visualization.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
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 seeking a talented and impact-driven Senior Data Analyst, Product to join our ML team. In this role, you will shape the future of the digital health products that help people understand and improve their heart health. By applying your technical skills, analytical mindset, and product intuition to rich real-world health and behavioral data, you will help define the experiences we build for our users and the value we deliver to employers and health plans.
You will collaborate with a wide range of cross-functional partners across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success. You will use data and analysis to identify and solve our biggest product challenges, influence product strategy and investment decisions, and translate insights into digital solutions that improve the well-being of the people we serve.
What you'll do
- Product leadership: Use data to shape product development, quantify new opportunities, and identify upcoming challenges. Help your partner teams prioritize what to build, set goals, and understand their product's ecosystem, ensuring what we build brings real value to users, clients, and Hello Heart.
- Analytics: Guide teams with data and insights. Develop hypotheses and test them using a varied toolkit of rigorous analytical approaches, from experimentation to causal inference and statistical modeling.
- Communication and influence: Don't just present data, tell data-driven stories. Influence partners with clear insights and recommendations, and become a trusted strategic partner through structure and clarity.
Your responsibilities
- Work with large and complex datasets, applying statistical analysis and visualization methods to extract meaningful patterns and trends.
- Identify and measure the success of product efforts through goal setting, forecasting, and monitoring of key product and engagement metrics.
- Design, execute, and analyze A/B tests, including tests of ML-driven features, accounting for cause/effect and treatment/prevention relationships.
- Monitor and analyze the performance of our ML models in production, and generate insights and research leads for model improvements and new data-driven solutions.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Partner with Product, Engineering, Data Science, and healthcare professionals to inform and execute product strategy.
- Integrate AI tools into your workflows to drive measurable gains in efficiency and quality.
- Stay current with the latest research and best practices in healthcare analytics and AI.
Requirements
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field.
- 4+ years of hands-on experience in analytics or data science, solving analytical problems using quantitative approaches.
- Proven experience leading data-driven projects from definition to execution, including defining metrics, designing experiments, and communicating actionable insights.
- Strong knowledge and experience with SQL.
- Proficiency in Python (Pandas, NumPy, SciPy) and in data visualization.
- Familiarity with experimental design and statistical modeling techniques (e.g., Bayesian methods, propensity score matching).
- Experience analyzing or testing the performance of ML models in production.
- Hands-on experience using AI tools to support data analysis, coding, research, and problem solving.
- Strong analytical and critical thinking skills, with excellent communication and storytelling ability.
#LI-DNP
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
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- Pay
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- Location & working pattern
Tel Aviv, Israel
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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