Senior Data Analyst, Clinical Quality and Product
Omada Health
PythonSQLTableau
Data Analyst, Intake
Keller Postman LLC
full-time
Posted on:
Location: Florida • 🇺🇸 United States
Visit company websiteSalary
💰 $85,000 - $105,000 per year
Job Level
JuniorMid-Level
Tech Stack
BigQueryCloudPythonSQLTableau
About the role
- Design, build, and maintain dynamic reports and dashboards to support leadership, Intake, and legal operations teams.
- Perform analyses to drive insights and improve client experience across the client journey.
- Develop predictive models to forecast case signup volume and staffing requirements to maintain optimal service levels.
- Conduct productivity analyses to evaluate Intake team performance and identify areas for operational improvement.
- Translate complex data into actionable insights to drive strategic planning and daily decision-making.
- Work with cross-functional teams to understand reporting needs and develop scalable solutions.
- Ensure accuracy, integrity, and reliability of data used in reports and analyses.
- Document data definitions, methodologies, and reporting standards to support consistency and clarity across the organization.
- Collaborate with data engineering and IT to enhance data sources and improve reporting infrastructure.
- Other duties as assigned.
Requirements
- Bachelor’s degree in Data Analytics, Business, Computer Science, or a related field.
- Must have Workforce Management analysis experience.
- 2+ years of experience in a data analysis, business intelligence, or reporting role.
- Strong experience with Sigma Computing or a similar cloud-based BI tool (Sigma preferred).
- Proficiency in SQL and comfort working with relational databases and cloud data platforms (e.g., Snowflake, BigQuery).
- Ability to analyze and interpret large datasets, and effectively communicate findings to non-technical stakeholders.
- Mastery of Microsoft Excel.
- Excellent verbal, written, and interpersonal communication skills.
- Analytical, problem-solving, and decision-making skills.
- Excellent time management skills with a proven ability to meet deadlines.
- Proficiency in SQL, DAX, and Microsoft Power Query.
- (Preferred) Experience working in a mass torts or plaintiff-side law firm environment.
- (Preferred) Proficiency in Python or R for statistical programming
- (Preferred) Familiarity with legal operations workflows, particularly client intake, case workup, and litigation pipelines.
- (Preferred) Understanding of predictive modeling concepts and productivity metrics.
- (Preferred) Proficiency with Excel and other visualization or analytics tools (e.g., Tableau, Power BI).
- (Preferred) Experience with Salesforce reporting tools and features.
