About the Role:The Senior Data Analyst will have a critical role in empowering customers and internal stakeholders to make data-driven decisions by generating data solutions (dashboards, reports, etc.) that lead to actionable insights. The role involves working collaboratively across many teams, including customer success, product, and engineering.
This position would be an excellent fit for someone passionate about using data to empower decision-making. We are looking for someone comfortable telling stories with data, has strong technical skills, a high degree of attention to detail, and a willingness to roll up their sleeves to get things done to support stakeholders and customers.
Responsibilities: - Partner with internal and external stakeholders to identify business challenges and develop analytical solutions to drive decision making
- Lead and interpret data and communicate findings through effective storytelling
- Contribute to the development of reusable data assets
- Define, document and maintain key business metrics and reporting standards
- Troubleshoot issues with existing and new data products and integrations
- Mentor peers on both technical and non-technical aspects of analytical work
- Create and maintain documentation for dashboards, data models, reporting assets and analytical processes
- Communicate complex analytical findings into clear recommendations for technical and non-technical audiences
- Support continuous improvement initiatives across the organization
- Other duties as assigned
RequirementsQualifications & Skills:- Bachelor's degree in a quantitative field (statistics, computer science, etc.)
- 4+ years of experience in data analytics, business intelligence or related field
- 2+ years experience presenting findings and analytical recommendations to stakeholders
- Fluent in SQL and strong working knowledge of relational databases
- Experience with at least one data visualization tool (Sigma, Tableau, Looker, etc.)
- Strong working knowledge of at least one programming language (Python, R, etc.)
- Comfortable presenting analyses to both internal and external stakeholders
- Able to understand, communicate, and work effectively and respectfully across demographic, socioeconomic, language, and all other cultural identifiers of communities
- Experience in healthcare, population health, social services, or community-based care environments preferred.
Nice to Haves:- Experience with DBT and other data-related technologies (Airflow, Airbyte, etc.)
- Interest in developing, evaluating, and deploying predictive models
- Experience working with healthcare, population health, social determinants of health (SDOH), care management, claims or clinical datasets.
