Key skills
PythonSQLRAnalyticsLookerBIBusiness IntelligencePower BICommunicationCritical ThinkingProblem SolvingRemote WorkCustomer Success
About this role
Role Overview
- Deliver high-quality work on defined problems, growing in your independence and analytics capabilities and supporting key stakeholders by:
- Gather Business Requirements
- Understand Datavant’s business, products and data stores
- Gather requirements from clients around data analysis
- Work with the customer success managers (CSMs) to review and validate the data analysis requirements
- Perform data manipulation and analysis
- Identify the best sources of primary or secondary data to satisfy business requirements
- Work with cross-functional teams (analytics, data integrations, engineering) to collect and transform data
- Review active project metrics with CSMs to determine if forecasted outcomes are in alignment with expectations
- Communicate Insights
- Use business intelligence tools to create reports and visualizations that communicate results of data analysis
- Combine data from multiple sources and business logic to create standard and custom output reports for delivery
- Present and explain analytical problems, approaches, results, and recommendations
- Improve Processes
- Use preliminary analyses to revise report methodologies, when necessary, and analyze end results
- Develop and implement scripts to automate analyses to solve data problems
- Oversee the implementation of approved process improvements
- Demonstrate Initiative and Focus
- Demonstrate ability to adapt in a rapidly changing environment with evolving product capabilities
- Have a high degree of initiative and customer service focus
- Be a results oriented team player
Requirements
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Health Services, Economics or equivalent field required.
- 1-3 years of hands-on work experience in business intelligence and analytics. Technical knowledge of BI techniques and tools like Sigma BI, Power BI or Looker.
- Experience conducting data analysis in SQL and Excel, and a scripting language like Python, R, SAS
- Strong communication skills necessary to relay complex data analysis requirements to team members and customers.
- Strong organizational and planning skills are essential.
- Ability to work independently when needed, applying critical thinking and problem solving to achieve a positive outcome.
Tech Stack
- Python
- SQL
Benefits
- Health insurance
- 401(k) matching
- Remote work options