Overview
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Skills
Customer Engagement
Operational Efficiency
Decision-making
Product Management
Data Warehouse
POC
Acceptance Testing
Snow Flake Schema
Warehouse
Management
Infographics
Training
Usability
Dashboard
KPI
Reporting
FOCUS
Collaboration
Communication
Stakeholder Engagement
Data Integration
Analytics
Microsoft Power BI
Effective Communication
Data Analysis
API
Health Care
Job Details
Objective: To empower business stakeholders with clear, actionable insights that drive customer engagement and operational efficiency. This role plays a vital part in turning health data into a competitive advantage.
Project Summary:
- Following a recent reorganization, the Health Data Insights team was formed to leverage healthcare data for strategic decision-making. We are seeking a Business Facing Data Analyst to join the team under the Product Management function.
- Enabled by a robust Snowflake data warehouse solution, the team can now support end-to-end reporting using Power BI (Vendor, Behavioral, and operational data).
Role and Responsibilities: The Product Data Analyst will:
- Consult with stakeholders to understand their data needs and provide tailored data solutions.
- Engage stakeholders to gather requirements, create proof of concept (POC) reports, ensure alignment through user acceptance testing (UAT), and confirm the insights meet business needs.
- Build Power BI reports and dashboards to meet stakeholder requirements or collaborate with the reporting team to do so.
- Work closely with cross-functional teams to confirm the availability of datasets for reporting or ensure data readiness through the Snowflake warehouse solution.
- Scale POCs into production-grade reports to meet evolving business demands.
- Manage and act as the key technical advisor on Power BI and other reporting tools to analyze and identify opportunities for improvement.
- Lead meetings with stakeholders to identify measurement plans and KPIs for their areas and build dashboards for self-service with graphs, infographics, and other methods of visualizations.
- Perform end-to-end analysis to identify key drivers of emerging trends and recommend action to all levels of the business.
- Provide pre-post launch analysis for new tools, processes, training, and insights based on success metrics.
- Support a data-driven culture by educating the digital organization on the everyday use of data as a resource.
- Measure usability/effectiveness and present actionable insights and recommendations based on data results and best practices.
- Build custom analytics dashboards and reports that can effectively present performance to the appropriate audiences aligned to KPIs.
- Work with teams to process information and combine data sources and complex queries.
- Provide guidance and recommendations on success, KPI strategy, and health measurements across various business units.
- Partner with cross-functional teams, including external resources, to continually improve the ability to measure and evaluate metrics.
- Champion company standards and best practices, working to continuously improve insights and reporting processes.
Focus Areas | Required Skillset:
- Stakeholder Collaboration: Bridge the gap between technical teams and business stakeholders by interpreting technical insights into actionable business strategies. Strong communication skills are essential to convey findings clearly and maintain stakeholder engagement without resorting to overly technical jargon.
- Data Integration: Combine data from multiple sources operational data, behavioral analytics (tracking end-to-end user engagement with products), and vendor data. For example: analyzing behavioral data from text reminders linked to operational data about appointment outcomes.
- Skillset: Proficiency in Power BI, technical expertise, and effective communication are critical. The ability to discuss technical details in clear, actionable terms with business stakeholders is key.
- Healthcare Experience: Experience in healthcare data analysis and familiarity with FHIR API is essential to leverage healthcare data effectively.
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