BI Analyst III

Datavant•New York City, NY

2d•$104,000 - $125,000

About The Position

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. At Datavant, our mission is to protect, connect, and deliver the world’s health data to power better decisions and advance human health. As part of our internal team, you help us achieve this mission every day. By continuing your career at Datavant, you’ll drive transformative change in healthcare alongside a collaborative team. 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!

Requirements

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.
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.
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.

Nice To Haves

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.

Responsibilities

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.
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.
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.

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