Data Analyst, Sr. — United States

About the Company

SmartLight Analytics was founded by industry professionals seeking to make a meaningful impact on rising healthcare costs. The company works with self-funded employers to reduce wasteful healthcare plan spending through proprietary data analysis. Its approach helps clients save money without disrupting employee benefits or requiring changes to employee behavior.

About the Role

SmartLight Analytics is seeking a Data Analyst II to develop analytical insights and identify payment anomalies in clients’ healthcare claims data. This role requires strong knowledge of statistical models, data mining, dashboard development, and analytical reporting, along with the business acumen to turn complex findings into actionable recommendations.

The Data Analyst II will collaborate with cross-functional teams and business stakeholders to support organizational initiatives, monitor performance, and communicate insights that inform decision-making.

This is a remote position open only to legal residents of the United States.

Key Responsibilities

• Develop a thorough understanding of key organizational initiatives and provide analytical solutions with actionable recommendations.

• Monitor product lines, including model success metrics and dashboards required for executive decision-making.

• Collect, clean, and analyze data from multiple sources to identify trends, patterns, and insights.

• Apply statistical methods and advanced analytical techniques to address business challenges and develop forecasts or predictive models.

• Conduct regular data audits to monitor data integrity and ensure dataset accuracy and completeness.

• Develop dashboards using healthcare claims and eligibility data to support executive decision-making.

• Work with business stakeholders to understand their goals, challenges, and opportunities and translate their needs into analytical projects.

• Prepare on-demand analyses, ad hoc reports, and analytical insights.

• Present findings to stakeholders and translate results into strategic recommendations.

• Identify opportunities to automate data processes, streamline workflows, and improve reporting efficiency.

• Document analytical methodologies, data workflows, and findings to support transparency and knowledge sharing.

• Communicate analytical findings and recommendations clearly to non-technical audiences through written and oral presentations.

• Collaborate with Information Management teams to automate recurring tasks and continuously improve processes.

Required Qualifications

• Bachelor's degree in Business, Economics, Finance, Mathematics, or a related field.

• Minimum of five years of analytical work experience involving healthcare claims data.

• Experience in data analysis and applying analytical capabilities in a business performance environment.

• At least five years of SQL experience.

• At least five years of healthcare claims experience.

• Proficiency in SQL, including data querying and database management.

• Experience with data visualization tools such as Tableau, Power BI, or QlikView.

• Familiarity with statistical software or programming languages such as R, Python, SAS, or SPSS.

• Working knowledge of ETL processes and data pipelines.

• Experience with statistical analysis, forecasting, regression models, and predictive analysis.

• Strong analytical skills and the ability to turn findings into clear, meaningful insights.

• Strong attention to detail and commitment to data accuracy.

• Ability to work independently and collaboratively in a team-oriented environment.

• Strong written and verbal communication skills.

• Ability to present complex information clearly and translate it into actionable recommendations.

Key Competencies

• Curiosity, adaptability, and willingness to learn and apply new technologies and methods.

• Ability to communicate analytical findings effectively to technical and non-technical audiences.

• Ability to collaborate with cross-functional teams and business stakeholders.

Additional Responsibilities

The Data Analyst II may be assigned additional responsibilities as needed to support the organization's goals and objectives.