Senior Data Analyst, Client Reporting
New
H
Hello HeartDigital health
Remote USFull-TimeSenior
Salary140,000 - 160,000 USD per year
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Job Details
- Experience
- 3+ years of experience in SQL, reporting, data analysis, visualization, or a related analytics role.
- Required Skills
- PythonSQLMicrosoft Power BITableaudbtLookerGenerative AI
Requirements
- Have 3+ years of experience in SQL, reporting, data analysis, visualization, or a related analytics role.
- Demonstrate advanced SQL skills, including building, updating, optimizing, and maintaining complex queries for business reporting.
- Have experience with generative AI and agent-based tools to improve productivity, automate workflows, accelerate analysis, and strengthen reporting quality.
- Have experience with business intelligence and analytics tools such as Looker, Tableau, Power BI, or Redash.
- Bring professional experience in client reporting, customer success analytics, go-to-market analytics, value analytics, or business operations analytics.
- Hold a bachelor’s degree in a quantitative or business field, or have equivalent work experience.
- Healthcare, medical claims, clinical outcomes, or digital health data experience is preferred.
- Experience with Python, R, MATLAB, or other data and statistical analysis tools is preferred.
- Experience with data pipelines or tools such as Apache Airflow or Databricks is preferred.
- Experience preparing executive-ready visualizations, client business reviews, or customer-facing analytics presentations is preferred.
- Experience with dbt and modern cloud data warehouses, including building and maintaining reliable, documented data models, is preferred.
Responsibilities
- Collaborate with Customer Success to create, maintain, and present client reporting materials highlighting clinical outcomes, engagement, impact, and return on investment.
- Analyze clinical outcomes, feature usage, engagement trends, and data patterns for client, marketing, and commercial materials.
- Partner with Customer Success, Sales, Marketing, Product, Finance, and Medical Affairs to deliver actionable analyses.
- Define and manage data collection requirements across systems and functions.
- Build, update, optimize, and maintain complex SQL queries and reporting workflows.
- Build and maintain interactive dashboards for self-service reporting.
- Explore data to identify patterns, trends, risks, and opportunities.
- Translate complex data into visualizations and presentations for executives, internal stakeholders, and external partners.
- Identify opportunities to automate recurring reporting and improve data quality and reporting processes using SQL, AI, and analytics tools.
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