Harness the power of your healthcare data
The Role
Build healthcare claims dashboards, reports, and analyses; translate complex data into actionable insights; support client reviews and presentations; collaborate with internal teams; manage competing priorities; and strengthen client relationships and account growth through accurate, timely analytics.
Summary Generated by Built In
Job Summary:
The Senior Business Analyst & Client Success Coordinator, serves as a strategic partner to self insured employer clients by combining advanced healthcare claims analytics with high touch relationship management, in support of senior account executives. This role is responsible for delivering actionable insights, ensuring exceptional client satisfaction, and driving measurable improvements in healthcare program performance. The ideal candidate is both analytically rigorous and client focused, capable of translating complex data into meaningful strategies for diverse stakeholders.
This is a remote role.
Key Responsibilities:
Qualifications:
Education:
What Success Looks Like:
This job description serves as a general overview of the role and is not exhaustive. The role may be required to perform additional responsibilities as needed to support the organization’s goals and objectives.
Who is SmartLight Analytics:
SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight works for self-funded employers to reduce the wasteful spend in their healthcare plan through our proprietary data analysis. Our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.
The Senior Business Analyst & Client Success Coordinator, serves as a strategic partner to self insured employer clients by combining advanced healthcare claims analytics with high touch relationship management, in support of senior account executives. This role is responsible for delivering actionable insights, ensuring exceptional client satisfaction, and driving measurable improvements in healthcare program performance. The ideal candidate is both analytically rigorous and client focused, capable of translating complex data into meaningful strategies for diverse stakeholders.
This is a remote role.
Key Responsibilities:
- Build and automate reports and dashboards (e.g., in Tableau, Power BI, or similar tools) to support ongoing monitoring and stakeholder access to insights.
- Translate complex data into clear, actionable insights through reports, dashboards, and presentations tailored for both technical and non-technical audiences.
- Support and participate in regular client check-ins, strategic reviews, and presentations.
- Collaborate with internal teams (data science, clinical operations, investigative, executive leadership) to ensure seamless service delivery.
- Maintain strong executive level relationships and contribute to account growth opportunities.
- Review client performance metrics and feedback to ensure analytic solutions meet or exceed expectations.
- Prepare ad hoc analyses to support client inquiries and strategic initiatives.
- Develop and deliver client facing reports, presentations, and written communications that highlight key performance metrics, trends, and opportunities.
- Prioritize competing requests across teams, especially when high priority or time sensitive.
- Providing support to Account Managers as needed
Qualifications:
Education:
- Bachelor’s degree in Business, Economics, Data Analytics, Statistics, or related field preferred
- 2-3 years of analytical work experience with healthcare claims data
- 2 + years of experience with data visualization tools
- 2+ years of experience in account management, client success, consulting, or similar client facing roles
- Proven experience applying data analytics in a business performance environment
- Proficiency in SQL and experience with data querying and database management.
- Experience with data visualization tools (Tableau, Power BI, QlikView).
- Familiarity with statistical software or programming languages (R, Python, SAS, SPSS).
- Working knowledge of ETL processes and data pipelines.
- Ability to identify trends, patterns, and actionable insights in large datasets.
- Strong written and verbal communication skills, and talent for relationship-building.
- Ability to translate complex data into clear, actionable insights.
- Exceptional problem solving and strategic thinking abilities.
- High attention to detail and commitment to accuracy.
- Ability to thrive in a fast paced, lightly structured environment.
- Hands on, collaborative, proactive work style.
- Proven ability to manage multiple projects and deadlines independently.
What Success Looks Like:
- Analytic deliverables are accurate, timely, and actionable, enabling clients to make informed decisions and realize measurable value.
- Dashboards, reports, and presentations are clear, compelling, and tailored, making complex data accessible to nontechnical audiences.
- Client satisfaction remains high, reflected in strong engagement, positive feedback, and expanded partnership opportunities.
- Cross functional teams view you as a reliable collaborator, known for clear communication, proactive problem solving, and strong follow-through.
- Projects are delivered on time and with minimal friction, thanks to your ability to coordinate resources, manage timelines, and anticipate risks.
- You demonstrate ownership and independence, managing competing priorities while maintaining exceptional attention to detail.
- You contribute to organizational growth, whether through improved analytics, enhanced client relationships, or support for new business initiatives.
This job description serves as a general overview of the role and is not exhaustive. The role may be required to perform additional responsibilities as needed to support the organization’s goals and objectives.
Who is SmartLight Analytics:
SmartLight Analytics was formed by a group of industry insiders who wanted to make a meaningful impact on the rising cost of healthcare. With this end in mind, SmartLight works for self-funded employers to reduce the wasteful spend in their healthcare plan through our proprietary data analysis. Our process works behind the scenes to save money without interrupting employee benefits or requiring employee behavior changes.
Skills Required
- Bachelor's degree in Business, Economics, Data Analytics, Statistics, or a related field
- 2-3 years of analytical work experience with healthcare claims data
- 2 or more years of experience with data visualization tools
- 2 or more years of experience in account management, client success, consulting, or similar client-facing roles
- Experience applying data analytics in a business performance environment
- Proficiency in SQL and experience with data querying and database management
- Experience with Tableau, Power BI, or QlikView
- Familiarity with R, Python, SAS, or SPSS
- Working knowledge of ETL processes and data pipelines
- Ability to identify trends, patterns, and actionable insights in large datasets
- Strong written and verbal communication skills and relationship-building ability
- Ability to manage multiple projects and deadlines independently
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The Company
What We Do
SmartLight Analytics was formed by a group of industry insiders driven to make a meaningful impact on the rising cost of employee healthcare. Using our statistical, clinical, fraud detection, coding and claims expertise we deliver the most complete wasteful spend reduction solution directly to self-funded employers. SmartLight utilizes proprietary inferential analytics customized to your employee population, followed by expert clinical review on 100% of your medical claims. Our team partners with your TPA to implement solutions resulting in a lower per employee healthcare spend. We let your data tell us where to look without any preconceived notions about what the errors are beforehand. Our approach is low-touch and involves zero employee involvement. SmartLight consistently delivers a higher ROI compared to other cost reduction solutions on the market.
