Senior Data Analyst - IntelliScript; Remote

Position: Senior Data Analyst - IntelliScript (Remote)
What We Do

Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We're a business unit within Milliman, Inc., a respected consultancy with offices around the world.

Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And, we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career.

Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our Linked In page for a closer look at our company, and learn more about our cultural values here .

Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations.

Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability.

What this position entails

The Analytics Team delivers impactful data analytics and business intelligence solutions by closely collaborating with all areas within IntelliScript. By partnering with stakeholders, we precisely define our data requirements and provide tailored solutions that drive intelligent decision-making.

We take pride in creating dynamic, user-friendly visualizations that effectively communicate insights to both technical and non-technical audiences. Our team also develops and refines complex data models to conduct comprehensive analyses, uncovering intricate trends and insights. These efforts enable us to offer actionable recommendations based on our expert findings.

What you will be doing

• Partner with data engineers, business analysts, and leadership to define data needs and deliver tailored solutions - leveraging automation and GenAI where appropriate to accelerate insight delivery
• Own analytics projects end-to-end, continuously improving delivery speed, quality, and scalability through automation and thoughtfully applied GenAI
• Create dynamic, user-friendly visualizations in various BI tools to communicate insights to stakeholders (both technical and non-technical)
• Conduct in-depth data analyses to identify complex trends and insights, and provide actionable recommendations based on findings
• Develop and refine complex data models to support reporting and advanced analytics
• Actively participate in peer reviews to ensure quality, consistency, and shared learning across the team
• Leverage Databricks, BI tools, and emerging AI-powered capabilities to advance analytics maturity and team effectiveness

What we need

• Demonstrated experience delivering end-to-end analytics work, with strong analytical skills and sound problem-solving judgment
• 2+ years of hands-on Databricks experience applying data transformation, workflow automation, data modeling, and reporting in analytics workflows, with a commitment to staying current with Databricks' evolving platform, including AI- and automation-driven capabilities
• 4+ years of hands-on experience with data visualization software (Power BI and/or Quicksight is a plus)
• Versatility in using programming languages and modern AI-assisted tools to improve analysis speed, automation, and productivity

What you bring to the table

• Seeks out input from others, shares insights and opportunities
• Open to peer review, resilient, and able to absorb and learn from constructive feedback
• Excellent verbal and written communication skills
• Proactively and positively resolve problems and overcome challenges
• Loves to learn and is naturally curious, seeking out new tools and approaches including responsible experimentation with AI, to continuously develop skills and improve how work gets done
• Self-motivated, with the ability to work independently and in teams, with or without supervision
• Comfortable operating in ambiguity by breaking vague problems into structured approaches, hypotheses, and experiments

Wish list

• Strong ability to identify, evaluate, and reasonably apply Generative AI to analytics workflows, decision support, or process efficiency, while understanding appropriate guardrails and human review
• Background in healthcare data, insurance, or actuarial fields is highly valued
• Hands-on data engineering…