Business Intelligence Engineer 2, Data Enablement

Team: Analyst

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
• Maintain and enhance key enterprise data products used by Care Management, Value Based Operations, and other clinical programs.
• Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
• Analyze complex datasets, identify patterns and issues, and conduct root cause analysis to resolve data-related challenges.
• Serve as a subject matter expert for partner teams, helping stakeholders understand, interpret, and effectively utilize available data.
• Develop scalable automation and data solutions that support the rapid expansion of healthcare programs and business capabilities.
• Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
• Collaborate with business and technical partners to identify opportunities to improve data quality, efficiency, and accessibility.
• Contribute to a culture of continuous improvement by identifying ways data and technology can enhance consumer experiences and business outcomes.

Requirements:

• Bachelor’s degree in a relevant discipline.
• Less than 5 years of technical experience in data analysis and/or data engineering.
• At least 1 year of experience working with SQL or SAS.
• At least 1 year of experience with Python or PySpark.
• At least 1 year of experience using Databricks and building automated data pipelines.
• Strong ability to assess complex datasets and perform effective root cause analysis.
• Comprehensive knowledge of Microsoft Office applications, including Word, Excel, Access, and PowerPoint.
• Strong analytical and problem-solving capabilities, with an ability to connect technical data challenges to business needs.
• Passion for using data and technology to support continuous improvement and better consumer experiences.
• Ability to collaborate effectively with partner teams and communicate data concepts clearly to both technical and non-technical stakeholders.
• An advanced degree in Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or a related quantitative discipline is preferred.
• Experience applying data insights to drive business outcomes and inform decisions is a plus.
• Candidates must be authorized to work in the United States; this position is not eligible for work visa sponsorship.

Benefits:

• Remote work opportunity available nationwide in the United States.
• Full-time schedule of 40 hours per week.
• Base salary range of $66,800–$91,100 USD per year, depending on factors such as location, skills, experience, education, and certifications.
• Eligibility for a bonus incentive plan based on company and/or individual performance.
• Medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Paid time off, company holidays, and personal holidays.
• Paid parental and caregiver leave.
• Short-term and long-term disability coverage.
• Life insurance and additional employee benefits supporting whole-person well-being.
• Occasional travel to company offices may be required for training or meetings.
• Home-based employees must maintain an internet connection meeting minimum requirements of 25 Mbps download and 10 Mbps upload, as well as a dedicated workspace suitable for protecting sensitive health information.