Data Engineering and Analytics - Remote

Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. As a Data Engineering & Analytics Manager, you will develop innovative analytic solutions and actionable insights to drive data perspectives that lead to better business decisions. This role involves building and managing a high-performing analytics team while collaborating with operational and client strategy teams to support decision-making across the organization.

Responsibilities:

• Develop innovative analytics solutions and generate actionable insights that inform strategic decision‑making and help the organization achieve its objectives
• Translate complex data into meaningful recommendations by identifying trends, risks, and opportunities that impact business performance
• Partner with operational and business teams on analytics initiatives, process improvement deep dives, and targeted analyses to drive efficiency and performance gains
• Formulate hypotheses, develop queries and analytical models, and evaluate results to support data‑driven process and performance improvements
• Support and advance data governance, stewardship, and data quality workstreams to ensure reliable and trusted analytics
• Apply solid analytical expertise to interpret data, identify trends, and develop strategic recommendations, supporting business decisions and stakeholder priorities
• Demonstrate a goal oriented, resilient mindset; proactively remove barriers, manage dependencies, and track progress to ensure successful execution of analytics initiatives
• Take a hands on, detail oriented approach when required, diving into data and operational processes to uncover insights and drive effective, sustainable change
• Influence senior leaders and stakeholders to adopt data‑informed ideas, approaches, and solutions

Requirements:

• 5+ years of experience in reporting and analysis, data management, and reconciliation, with 3+ of those years in a corporate setting, working with complex data sets
• 2+ years of experience working with Microsoft Power BI, or other advanced analytical tools such as Oracle Analytics Cloud, Tableau, or ThoughtSpot
• 2+ years of related business analysis and business intelligence development experience, 1+ years of which must be in Healthcare Services and/or Pharmacy Services
• 2+ years of experience soliciting requirements, building business intelligence solutions, quality testing and collaborating with business owners and Data Engineering teams
• 2+ years working knowledge of system development life cycle concepts and Agile methodology
• Experience achieving goals in a matrix environment, working collaboratively to influence others
• Experience developing and delivering formal presentations, including organized visuals, for stakeholders
• Experience translating business processes into analytical solutions
• Experience with SQL
• Experience using an Agile development platform such as Rally or Jira (or similar platform) to manage development backlogs
• Understand data privacy and government regulations
• Proficiency in Microsoft Office including Excel and PowerPoint, and an ability to easily learn and adopt new technology tools
• Data architecture experience
• Related experience in healthcare services and/or specialty pharmacy services
• Experience with Pharmacy Operational Data
• Proven self-starter with an engaging leadership style, solid influencing and facilitation skills that will quickly develop relationships across the organization and with clients, while building a collaborative work environment
• Demonstrate analytic thought leadership with skills in developing innovative and creative analytic solutions to complex problems
• Demonstrate client-focused approach with outstanding interpersonal skills, solid business acumen and critical thinking ability
• Demonstrate excellent written and verbal communication skills with an emphasis on being able to logically structure thoughts and create organized visuals for stakeholders
• Demonstrate solid problem-solving skills with the ability to anticipate, identify and diagnose problems and make recommendations
• Ability to demonstrate key successes on business solutions derived from analysis and deep learning