Senior Analyst, Analytics Solutions

Role Description

The Senior Analyst, Analytics Solutions, supports the design, development, and maintenance of custom data solutions for customers and/or internal stakeholders. While projects will be reviewed and overseen by the Analytics Solutions Manager, the Senior Analyst is expected to work independently, applying knowledge of closed-loop referral and healthcare to leverage Unite Us’ data models in creating actionable, analytic-driven solutions. This role manages cross-functional relationships with Business Analytics, Customer Success, Data Science, and Product teams to solve complex challenges.

What You'll Do

• Collaborate with Business Analytics, Customer Success, Implementation, and other internal teams to deliver data-driven deliverables, gather UAT feedback, and enable new and ongoing customer engagements.
• Maintain and enhance high-quality code that supports customer business objectives through reliable, well-designed solutions for a wide range of use cases and business requirements.
• Maintain, optimize, and troubleshoot existing data processing workflows and custom data models to ensure large, messy, or complex datasets from various sources are transformed into accurate, analysis-ready extracts for recurring reporting and dashboard use.
• Maintain and improve user-centric dashboards by diving into data sources, metric definitions, and workbook structures to correctly execute update requests and ensure ongoing usability, accuracy, and business value.
• Develop and own the custom data solutions and internal/customer requests on troubleshooting, data questions, and enhancements.
• Comfortable working with ambiguity and identifying/asking key questions on scope, requirements, and missing details.
• Be accountable for the quality, accuracy, and timeliness of the data deliverables.
• Cooperate with Product Management and Data Science on Predictive Product support and analysis.
• Collaborate with Data Analytics, Analytics Engineering, and/or Data Engineering teams for support and resources on data issues.
• Be a fast learner and self-starter on exploring/learning new analytical/AI tools and building prototypes to resolve unmet business needs.
• Improve user experience and team efficiency by experimenting and implementing new processes or techniques for ad hoc analysis, recurring reporting, or dashboard development.

Qualifications

• At least 3 years of experience in an analytics role focused on developing and delivering ad-hoc analysis, reporting, and/or custom dashboards.
• Demonstrated proficiency in SQL, R, Python, and Tableau (or similar data visualization platforms), with advanced skills in building dashboards from scratch.
• Experience working with complex datasets, integrating business logic into metric definitions, and leveraging internal documentation (e.g., ERD, coding scripts, Confluence) to understand data models and the ETL process.
• Experience building custom data models or collaborating with data engineers on ETL pipelines.
• Excellent organizational skills with the ability to manage multiple projects simultaneously, maintaining attention to detail and consistent follow-through.
• Experience working with cross-functional teams to devise and create analytics-driven solutions.
• Experience with cloud-based solutions such as AWS, Snowflake, and Azure.
• Some experience interpreting predictive models metrics and interacting with modeling outputs preferred.
• Healthcare and social care domain expertise, including care management, population health, quality programs, risk adjustment, closed-loop referrals, payments, healthcare claims, EHR/EMR/CRM data, and membership data preferred.
• Experience in the social care network or healthcare payer market, specifically related to marketing, risk analytics, and member engagement preferred.
• Experience or knowledge of Snowflake Cortex AI and/or Streamlit preferred.
• Experience or knowledge of data pipeline tools such as dbt and Airflow is preferred.
• At least a four-year college degree from an accredited institution, preferably in Economics, Business, Mathematics, Statistics, Computer Science, or a related field.

Benefits

• Medical, Dental, and Vision insurance for team members and eligible partners and dependents, including unlimited virtual mental health and acute medical visits.
• Mental health benefits, such as the Employee Assistance Program (EAP) and wellness platform subscription, are available to all team members.
• Flexible Time Off, including volunteer days and mental health days, with 14 paid, company-wide holidays.
• Paid Parental Leave, including adoptive parents.
• Employee Resource Groups to connect and engage with colleagues, like Military Veterans.
• Tax-advantaged health savings accounts (HSAs), flexible spending accounts (FSAs), and commuter benefits.
• 401(k) with Employer Match, immediate vesting, and financial wellness resources.
• Life and AD&D insurance, with the option to purchase additional coverage for yourself and your dependents.
• Disability Coverage.
• Accident Insurance.
• Pet Insurance.
• All necessary equipment to perform duties, including a computer, mouse, keyboard, and other items on our approved list of WFH supplies.