BI Analyst

The Business Intelligence & Analytics function within Datavant Product is actively seeking a detail-oriented and impact-driven data analyst to strengthen our Corporate Cross-Functional Reporting team. This pillar focuses on building a scalable, trusted reporting platform that delivers consistent, transparent, and actionable insights across our finance, accounting, compliance, and people functions. In this role you will help mature our analytics portfolio, drive BI modernization, and enable operational visibility through data. If you are an analyst who thrives at the intersection of data and business, and enjoys collaborating with both technical and non-technical stakeholders, we would love to hear from you!

• →Partner & Analyze
• →Partner with cross-functional stakeholders to understand business needs, scope requirements, and define analytical approaches that inform decision-making.
• →Conduct exploratory and targeted analyses using analytical methods and business context to generate actionable recommendations.
• →Design and develop business intelligence solutions, including dashboards, reports, and tools that support operational visibility and strategic insights.
• →Deliver Scalable BI Solutions
• →Lead the development and maintenance of reusable data models and visualizations, ensuring accuracy, scalability, and performance across internal and external reporting at Datavant.
• →Collaborate with data engineering and BI teams to ensure data quality, accessibility, and alignment between source systems and reporting layers.
• →Enable Continuous Improvement
• →Contribute to the automation of recurring analytical workflows, reducing manual reporting and improving turnaround time for business users.
• →Drive the growth of team practices and analytical maturity by mentoring peers, documenting solutions, and leading process improvements.
• →Stay current on industry best practices in data visualization, BI tools, and analytics methods to continuously elevate team capabilities.

• Technical Skills
• Proficiency in statistical analysis and programming languages such as SQL and Python for data analysis and modeling.
• Skill in designing clear, insightful visualizations tailored to varied audiences using tools such as Sigma, Power BI, or Tableau.
• Business Acumen & Communication
• Demonstrated ability to craft compelling, data-driven stories that inform strategy and influence decision-making.
• Excellent communication skills with the ability to distill technical concepts for non-technical audiences.
• Proven ability to manage time effectively and prioritize work to meet tight client deadlines.
• Mindset & Experience
• Exceptional initiative and ability to solve problems independently, seek help when needed, and take ownership when navigating ambiguity.
• Experience navigating change with cross-functional collaboration, customer focus, ownership, and a bias for action.
• 4+ years of relevant experience in data analytics or a related field.

• Experience working in healthcare, life sciences, or high-growth environments, especially in domains related to release of information (ROI) or data privacy compliance.
• Understanding of data privacy and security best practices, with awareness of key regulations (e.g., HIPAA).
• Experience working with cloud-based storage and computing platforms (e.g., AWS, GCP, Azure).
• Experience using dbt to build and maintain data models within a modern analytics stack.
• Proven ability to bring structure, best practices, and operational rigor to BI teams in high-growth or evolving data environments.
• Exposure to machine learning techniques such as natural language processing or time series forecasting.