3 open positions available
Developing and maintaining T-SQL stored procedures, optimizing databases, and supporting healthcare data workflows. | 8-10 years of SQL Server experience, strong T-SQL skills, database development, and data transformation expertise. | Job Title: SQL Server Data Engineer Location: Hybrid - Within 35 miles of Tulsa, Oklahoma Department: Information Technology and Product Development Reports To: Sr. Director of Engineering Job Summary: The Data Engineer is responsible for building and maintaining robust data processing solutions within our healthcare analytics platform. This role focuses on developing T-SQL stored procedures, managing data transformations, and supporting our reporting infrastructure. The ideal candidate brings 8-10 years of hands-on experience with SQL Server and T-SQL development, with a passion for working with healthcare data. We are seeking a talented Data Engineer to join our growing team. The ideal candidate will have solid experience with SQL Server database development and T-SQL programming. While knowledge of healthcare claims processing and reporting tools is beneficial, we provide comprehensive on-the-job training in these areas. This position offers an excellent opportunity to grow your career in healthcare analytics while working with meaningful data that directly impacts healthcare cost reduction. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Key Responsibilities: Develop and maintain T-SQL stored procedures for data processing and transformation Design and optimize SQL Server databases for healthcare analytics workflows Build data extraction and transformation processes using raw T-SQL Collaborate with cross-functional teams to understand data requirements and deliver solutions Support data quality initiatives and troubleshoot data processing issues Learn and utilize myDBR reporting tool for creating reports and visualizations Assist in developing healthcare claims processing workflows and data validation Participate in code reviews and maintain documentation for data processes Monitor and optimize database performance for large healthcare datasets Support ad-hoc data analysis requests from stakeholders Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field 8-10 years of experience in data engineering or database development Strong proficiency in SQL Server and T-SQL programming Experience writing complex stored procedures, functions, and triggers Solid understanding of database design principles and optimization techniques Experience with data transformation and ETL processes using T-SQL Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to work independently and manage multiple priorities Preferred Qualifications: Experience with healthcare data, medical claims, or prescription claims processing Knowledge of myDBR or similar reporting tools Understanding of healthcare industry regulations and compliance requirements Experience with performance tuning and query optimization Background in data analysis or business intelligence Familiarity with Azure SQL Database or cloud platforms Knowledge of data visualization principles 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 Quality Assurance Analyst will review the work of Quality Analysts to ensure accuracy and adherence to quality standards. This role involves validating claims data and providing feedback to improve quality processes. | Candidates should have 3-5 years of experience in healthcare billing and strong knowledge of medical coding. Critical thinking, communication skills, and attention to detail are essential for this position. | Position Title: Senior Quality Assurance Analyst Department: Operations / Payment Integrity Job Grade: Senior Professional (16) Location: Remote Reports to: Manager of Payment Integrity Job Summary As a Senior Quality Assurance Analyst at SmartLight Analytics, you will play a critical role in ensuring the accuracy, consistency, and quality of work produced by our Quality Analysts. While our Quality Analysts identify, investigate, and report on payment integrity issues in healthcare claims, your responsibility is to review their work for completeness, accuracy, and adherence to high quality standards. This position requires strong knowledge of medical coding and payment integrity. You will act as the final checkpoint before findings are released to clients and carriers, ensuring that every deliverable is defensible, well-documented, and aligned with SmartLight’s high standards. The preferred candidate would be local to the Dallas, Texas area; however, this position is a hybrid position, and a qualified candidate can work remotely with periodic travel to the office. This position is only eligible for legal residents of the United States of America. Key Responsibilities Quality Assurance: Perform quality reviews of Quality Analyst work products Review claims data Confirm proper referral case presentation including referral reason, logic for the reason and proposed corrective action Compare with client SPD and industry best practices Validate identified savings values Provide feedback to analysts on errors, omissions, or opportunities for improvement. Contribute to QA standards documentation for a clearer definition of Quality Analyze trends in quality issues and implement root cause / corrective actions Serve as a resource for Quality Analysts by clarifying QA standards Support the creation of a “culture of quality” among the clinical operations team Collaboration and Stakeholder Engagement: Work closely with healthcare professional consultants, clinical teams and business analysts to understand the data needs of stake holders Collaborate with data scientists and engineers to build and refine analytics tools that enable improved decision-making Present findings and insights to internal teams, clients, and stakeholders in a clear, understandable manner Quality Control and Data Integrity: Ensure the quality, accuracy, and integrity of clinical data by conducting data validation, cleaning, and preparation. Identify and resolve issues related to data discrepancies, missing data, or inconsistencies within clinical datasets Required Qualifications 3- 5 years’ work experience related to healthcare billing, claims adjudication, fraud investigation, payment integrity operations and/or healthcare reimbursement Strong critical thinking and writing skills Experience with manipulating and analyzing large datasets Strong knowledge of clinical terminology, medical procedures, and healthcare workflows Ability to be concise, independent and provide defensible decisions in writing Must have solid ability to accurately document findings in written form Detail-oriented with excellent communication skills (oral presentations and written) and interpersonal skills Strong PC knowledge and skills, including all Microsoft Office products 3-5 years’ experience with CPT and HCPCS code terminology Preferred Qualifications Certified Coding Specialist (AAPC or AHIMA) preferred Bachelors degree in nursing or related field preferred 3+ years of experience working in the group health business or experience in a health care provider’s practice Experience in the healthcare payment process An intermediate level of knowledge with Local, State & Federal laws and regulations pertaining to health insurance (commercial health plans and/or dental plans) Experience with data analysis as it relates to healthcare claims adjudication Skills and Competencies Analytical Skills: Strong ability to interpret complex data and derive meaningful insights to drive healthcare outcomes Problem- Solving: Ability to identify issues in datasets and clinical workflows and suggest data-driven solutions Attention to Detail: High level of precision and accuracy in handling critical data Communication Skills: Excellent written and verbal communication, with the ability to present technical information to non-technical audiences Collaboration: Team-oriented with a focus on collaboration across multidisciplinary teams 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
Lead statistical strategy and methodology, manage a team of statisticians, collaborate with executives on analytics goals, and ensure rigorous data-driven decision-making. | Ph.D. or Master’s in statistics or related field, 10+ years in statistical analysis with 5+ years leadership, proficiency in statistical software, and strong business alignment. | Job Title: Sr Director of Statistical Analysis Location: Remote/Hybrid Department: Data Science Reports To: CEO Job Summary: The Sr Director of Statistical Analysis is a strategic leadership role responsible for overseeing the statistical strategy, methodology, and integrity across all analytic projects. This individual will lead a team of statisticians and data scientists, ensure the application of rigorous statistical principles, and work crossfunctionally with business and technical leaders to influence data-driven decision-making at the highest levels. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Key Responsibilities: • Provide strategic direction for the design, execution, and interpretation of statistical analyses across the organization. • Lead and mentor a team of statisticians and quantitative analysts; guide career development, training, and performance management. • Collaborate with executive leadership to define analytics goals, ensure statistical rigor, and prioritize key initiatives. • Oversee the development of advanced statistical models, predictive algorithms, and experimental designs (e.g., A/B testing, multivariate testing). • Act as a subject matter expert on statistical methodology, advising on study design, sample size, and data interpretation. • Ensure compliance with regulatory and ethical standards where applicable (e.g., HIPAA, GDPR, IRB). • Communicate complex statistical concepts clearly to both technical and non-technical stakeholders through presentations, reports, and executive summaries. • Stay abreast of emerging methodologies, technologies, and trends in statistics and data science to drive innovation. Qualifications: • Ph.D. or Master’s degree in Statistics, Biostatistics, Applied Mathematics, or a related quantitative field. • 10+ years of progressive experience in statistical analysis, with at least 5 years in a leadership role. • Proven experience managing statistical teams and driving data strategy at a senior level. • Deep knowledge of statistical methods including regression, Bayesian inference, multivariate analysis, and experimental design. • Proficiency in statistical software and languages (e.g., R, Python, SAS, STATA). • Strong business acumen with the ability to align analytical work with strategic objectives. Preferred Qualifications: • Experience in a regulated industry (e.g., healthcare, finance, pharmaceuticals). • Publications or presentations in professional statistical forums or journals. • Familiarity with machine learning and AI integration into statistical workflows. • Expertise in enterprise data environments and tools (SQL, cloud platforms) 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.
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