Senior Data Analyst, Client Reporting (AI)

Location: Remote US

US base salary: $140,000–$160,000 annually; equity and benefits are not included.

Company

hirify.global is an AI healthcare company building a heart-health platform that predicts and prevents cardiac events, serving U.S. health plans and employers.

What you will do

• Create, maintain, and present client reporting materials covering clinical outcomes, engagement, impact, and return on investment.
• Analyze clinical outcomes, feature usage, engagement trends, and other data patterns for client, marketing, and commercial materials.
• Partner with Customer Success, Sales, Marketing, Product, Finance, Medical Affairs, and other go-to-market teams to deliver actionable analyses.
• Define and manage data collection requirements across systems and functions.
• Build, optimize, and maintain complex SQL queries, reporting workflows, and interactive self-service dashboards.
• Translate complex data into visualizations and presentations while identifying opportunities to improve data quality, automate reporting, and scale analytics.

Requirements

• 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 building, updating, optimizing, and maintaining complex business-reporting queries.
• Experience with business intelligence and analytics tools such as Looker, Tableau, Power BI, Redash, or similar platforms.
• Professional experience in 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.

Nice to have

• Experience with medical claims, clinical outcomes, healthcare, or digital health data.
• Experience with Python, R, MATLAB, or other data and statistical analysis tools.
• Experience with data pipelines or data engineering tools such as Apache Airflow or Databricks.
• Experience preparing executive-ready visualizations, client business reviews, or customer-facing analytics presentations.
• Experience with dbt and modern cloud data warehouses, including building and maintaining reliable, documented data models.

Culture & Benefits

• Full-time remote role in the United States.
• Positive, diverse, supportive, collaborative, creative, and courageous culture.
• Salary range is determined by role and level, with compensation also based on skills, experience, and education or training.