Who You Are
You’re a collaborative professional, driven by the potential to utilize your intellectual curiosity to make a meaningful impact in healthcare. The challenges of healthcare don’t deter you—instead, you see them as opportunities to find innovative solutions that benefit the partners, people, and communities we serve as well as opportunities to innovate. Honest Health’s commitment to purpose, innovation, communities, and kindness resonates with you, inspiring you to bring commitment, creativity, and compassion into your work. You’re ready to join a team focused on reimagining primary care for a healthier future that benefits all.
Does this sound like you? Let’s connect.
Who We Are
At Honest Health, we believe in purpose and partnership to lead the transformation in primary care. Our team of healthcare experts and clinicians collaborates with a range of stakeholders—from health systems, physician organizations, and payers to providers, practices, and patients — to deliver innovative solutions that elevate care, control costs, and support long-term health. Guided by our core values, we’re creating a value-driven model that creates lasting benefits for everyone, now and into the future.
For us, that’s just an Honest day’s work.
Your Role
The Sr. Business Intelligence Analyst will partner closely with and support central operational teams (i.e., Finance, Risk Adjustment, Quality and Care Management) as well as market analytics and leadership teams to transform complex healthcare data into tools and actionable insights. This position will perform in-depth and ad-hoc analyses that drive operational efficiencies and strategic decision-making. The ideal candidate will have a proven record of collaborating across key business teams including Finance, IT, and Clinical Operations. In addition to internal deliverables, you will help prepare partner-facing presentations, leveraging analytics tools and market-specific knowledge to translate data into actionable insights. The ideal candidate will have a strong ability to story-tell with data: describing cost of care drivers, diagnosing root causes, and prescribing action items for better health outcomes at lower costs. As a Sr. Analyst on the Analytics team, you will serve as a resource for your colleagues and organizational leaders.
Primary Functions of the Sr. Business Intelligence Analyst Include:
Support all core disciplines of Honest’s business (i.e., Medical Expense Management, Risk Adjustment/Clinical Documentation Integrity, Quality and Care Management) and be a resource for other colleagues and leaders. Specific expertise in one or more of these disciplines will be a focus depending on organizational needs.
·Develop a deep understanding of Honest Health’s data assets and analytics product inventory as it relates to strategic decision-making, problem-solving and generation of actionable insights.
Serve as the core analytics partner for Medical Expense Management, translating business needs and opportunities into data-informed insights and actionable, decision support tools.
Lead end-to-end development of dashboards, tools, and analyses with minimal direction, ensuring outputs meet the needs of multiple business stakeholders.
Integrate and analyze data from diverse sources including electronic health records (EHRs), health information exchanges (HIEs), and claims data that are housed in Honest’s electronic data warehouse (EDW) and/or other population health platforms.
Leverage expert SQL skills to extract and analyze large, complex data and transform it into informative deliverables, insights, tools, and presentations that clearly communicate trends, risks, and improvement opportunities.
Identify relationships in data sets, determine key fields, and independently recommend actionable insights.
Manage and prioritize high-complexity ad hoc requests, working across teams to refine problem statements and deliver insights that influence business decisions.
Introduce automation, efficiency, and standardization into existing reporting tools and analytic workflows.
Provide coaching, technical guidance, and informal mentorship to Business Intelligence Analysts to support their development.
Deliver timely, accurate responses to ad hoc requests and proactively surface root causes, trends and opportunities for optimization.
Serve as a strategic partner through forming and maintaining strong relationships within the Analytics team, with stakeholders across the business – from individual contributors to executive leadership.
Utilize strong problem-solving and critical thinking skills to develop and deliver powerful insights through the adoption of new data visualization, advanced business intelligence, and emerging AI-driven tools (and support others in development of these skills)
Act as a bridge between technical and non-technical stakeholders, ensuring clarity and understanding of data and its interpretation to support informed decision-making.
Exhibit exceptional reliability and follow-through, with the ability to commit to multiple concurrent deadlines and be accountable for updates and on-time delivery.
Collaborate with IT/Data Engineering to influence data pipeline requirements, table structures, and enhancements needed for analytics.
Perform other related responsibilities as assigned.
How You Qualify
You reviewed the Who You Are section of this job posting and immediately felt the need to read on. This makes you a match for our innovative culture. You accept things change quickly in a startup environment and are willing to pivot quickly on priorities.
Bachelor's degree in Business, Economics, Healthcare, or similar field is required; Master’s degree is considered a plus
5+ years of experience in data analytics is required including expertise with large, complex data sets is required
3+ years of experience in Tableau, building dashboards end to end, is required
1+ years of healthcare analytics experience and a strong understanding of healthcare data and operational workflows is required
Experience with value-based care models is required
Advanced proficiency in Microsoft Office suite (Excel, Word, PowerPoint)
Strong SQL skills, preferably in a Snowflake or other cloud computing environment required
Working knowledge of programming languages (i.e., R, Python, SAS) desired
Familiarity with the utilization of AI, Machine Learning and/or NLP in a healthcare setting
Excellent interpersonal and communication skills and a demonstrated ability to work effectively across functions and levels of an organization
Strong attention to detail and a passion for digging into processes to better understand them and communicate the big picture
Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed environment
Strong strategic, analytical, and creative skills with a history of tackling and solving complex challenges
Able to navigate ambiguity and transform complexity into a state of clarity and actionable structure
Capable of working independently and collaborating efficiently within a team environment
The base pay range for this role is
$105,600.00 - $122,650.00
. Compensation takes into account several factors including but not limited to a candidate’s experience, education, skills, licensure and certifications, and organizational needs. Base pay is just one piece of the total rewards program offered by Honest. Eligible roles also qualify for short-term incentives and a comprehensive benefits package.
Honest Health is committed to ensuring fairness, opportunity, strong teams, and full integration of team members into the organization. We take proactive steps to ensure all applicants are considered for employment based on merit, without regard to race, color, religion, sex, national origin, disability, Veteran status, or other legally-protected characteristics.
Honest Health is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require a reasonable accommodation for any part of the application or hiring process should email [email protected] for assistance. Reasonable accommodation will be determined on a case-by-case basis