Hello Heart Logo

Hello Heart

Senior Data Analyst, GTM

Posted 2 Days Ago
Remote
Hiring Remotely in US
145K-160K Annually
Senior level
Remote
Hiring Remotely in US
145K-160K Annually
Senior level
Analyze complex data to support business decisions across marketing, finance, product, sales, medical affairs, and customer success. Responsibilities include defining data requirements, developing and automating data pipelines, building interactive dashboards, identifying trends and process improvements, and presenting insights to executives and external partners. The role requires advanced SQL, Python, BI, visualization, and cross-functional analytics experience, with an emphasis on using AI to improve efficiency.
The summary above was generated by AI

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.  

HQ

Hello Heart Menlo Park, California, USA Office

545 Middlefield Rd, #260, Menlo Park, CA, United States, 94025

Similar Jobs

One Month Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
145K-175K Annually
Senior level
145K-175K Annually
Senior level
Marketing Tech • Real Estate • Software • PropTech • SEO
Analyze sales, marketing, and customer success performance, including pipeline, funnel conversion, campaigns, retention, and revenue drivers. Build and maintain dbt models and marts using Salesforce and modern data-stack tools, while owning data quality and documentation. Contribute to Lighthouse, a BI-as-code platform, and develop AI-assisted analytics workflows. Partner with stakeholders to frame ambiguous questions, deliver recommendations, and communicate progress in two-week sprints.
Top Skills: Ai AgentsBigQueryClaude CodeCodexDbtFivetranHexLlmsLookerPythonSalesforceSigmaSnowflakeSQLTableau
2 Months Ago
Remote
United States
175K-225K Annually
Senior level
175K-225K Annually
Senior level
Fintech • Information Technology • Payments
Partner with Sales, RevOps, Marketing, and Customer Success to connect the full revenue funnel. Produce GTM insights using advanced analytics, SQL, and BI tools; communicate findings to stakeholders; standardize Data team processes; mentor analysts and lead data-driven initiatives to drive business outcomes.
Top Skills: AmplitudeCensusDbtFivetranHubspotModePythonRSegmentSigmaSQLTableau
30 Minutes Ago
Remote
USA
27-31 Hourly
Senior level
27-31 Hourly
Senior level
eCommerce • Retail
Manages high-risk, complex customer escalations from initial contact through resolution across phone, chat, and email. Evaluates customer, legal, financial, operational, and reputational risks; prepares executive and regulatory communications; coordinates with Legal, Finance, and cross-functional teams; and exercises independent judgment on exceptions and reimbursements. Identifies root causes, recurring trends, and process improvements while using AI tools to improve resolution efficiency and customer retention.
Top Skills: Ai-Assisted ToolsCRMGoogle WorkspaceIntercomSlackTicketing SoftwareZoom

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account