Dedicated to the work of health and healing.
Provider Network Data Integrity Analyst
Location
United States
Posted
8 days ago
Salary
$24 - $39 / hour
Seniority
Mid Level
Job Description
Provider Network Data Integrity Analyst
Sanford Health
Role Description This position is responsible for the accuracy, completeness, and required regulatory filings of the Health Plan’s (HP) provider network. Serves as a resource for strategic planning, compliance, and network analysis. Responsible for completion of network adequacy filings for Centers for Medicare and Medicaid Services (CMS), National Committee for Quality Assurance (NCQA), Department of Health Services (DHS), and requested employer groups. Accountable for the maintenance, enhancements, and overall data integrity to ensure the Health Plan’s provider directory meets established CMS standards. - Develops and enforces data quality standards within the provider and facility database to ensure that credentialing software is a source for up-to-date accurate record information. - Completes network adequacy reviews, in collaboration with the Health Plan's Business Intelligence Department representatives to include CMS time and distance standards, ensuring HP meets required network standards to expand their service area. - Performs analyses and audits to identify gaps in current provider networks to ensure corrections are made by contracting to maintain compliance with required adequacy standards. - Coordinates required regulatory provider network submissions to ensure HP meets contractual obligations. - Audits and advises provider credentialing on identified data issues, including working with delegated credentialed entities, to ensure that complete and accurate information is being received. - Maintains accurate data in HP Provider Directory to ensure it's in compliance with CMS, DHS, and Office of the Commissioner of Insurance requirements. - Organizes a large amount of data into easy to understand formats to help aid in strategic planning for HP. - Maintains a strong understanding of providers and facilities in current HP's service area and patterns of care to help identify opportunities for potential expansion. - Researches and communicates regulatory directives to ensure HP maintains compliant practices. - Performs disruption analysis for potential customers of HP to identify potential improvements to effectively provide competitiveness for bids. - Other duties as assigned. Qualifications - Bachelor’s Degree in business administration, finance, healthcare related field, computer science, or analytics. - Successful completion of a post-secondary medical terminology course preferred. - Three years’ experience in a medical group practice, health insurance or Health Maintenance Organization (HMO) environment. - Demonstrated knowledge of data manipulation and analytical analysis. - Proficiency with Microsoft Office suite to include products, Excel and Access. - Understanding of geoaccess coding, provider credentialing, and medical terminology preferred. Company Description Sanford Health, the largest rural health system in the United States, is dedicated to transforming the health care experience and providing access to world-class health care in America’s heartland.
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Data Analyst
Quest Recruitment SolutionsShould you not hear from us within 21 days, kindly consider your application unsuccessful. The client reserves the right not to make an appointment. Appointments will be made in line with the client Employment Equity Plan.
Role Description We need a sharp and curious Data Analyst to turn raw data into actionable insights that drive smarter business decisions. You'll work closely with teams across the organisation to understand data needs and deliver meaningful reporting. Qualifications - Degree or diploma in Statistics, Mathematics, Information Systems, or a related field - 2–4 years of experience in a data analysis or reporting role - Advanced proficiency in Microsoft Excel and Power BI (or Tableau) - Strong working knowledge of SQL for data extraction and manipulation - Ability to communicate data findings clearly to non-technical stakeholders - Experience with ERP or CRM systems (e.g. SAP, Salesforce) advantageous Requirements - Gather, clean, and analyse data from multiple business systems - Build and maintain dashboards and reports using Power BI or similar tools - Identify trends, patterns, and anomalies to support strategic decisions - Collaborate with business units to define reporting requirements - Ensure data accuracy, consistency, and governance standards Benefits - If you have not heard anything from us within 21 working days, please consider your application unsuccessful
Mid-level Data Analyst – Insurance, Business Intelligence
Stefanini BrasilCo-creating Solutions for a Better Future
• Prepare data-driven analyses, identifying opportunities to evolve and improve business processes. • Build and maintain Power BI dashboards. • Develop and maintain KPIs to support business, finance, and actuarial teams. • Monitor and analyze portfolio performance, including metrics such as new sales, BP monitoring, asset base, loss ratio, among others. • Monitor strategic indicators to support decision-making and business performance. • Build and maintain T-SQL (queries) processes, focusing on supporting databases and analytical foundations. • Develop and maintain ETL processes from multiple data sources, consolidating data into a centralized repository. • Design and maintain dashboards for monitoring and tracking business-area KPIs. • Support indicator analysis and generate insights to inform decision-making.
Staff BI and Data Analyst
OvivaAt Oviva, we’re on a mission to make sustainable, personalized, clinically effective care accessible to everyone as we build Europe’s leading AI-powered chronic care platform. Our digital programmes help people manage weight-related illnesses by focusing on what matters most: improving health, building confidence, and enhancing quality of life. To date, we have supported over one million people across the UK, Switzerland, and Germany. Our mission is powered by a dedicated team operating across four countries, including our hub in Poland. Every conversation, coaching session, and line of code brings us closer to a healthier future. Our journey is accelerating: In 2026, we secured €200 million in Series D funding led by Kinnevik and a group of leading global investors. This investment fuels our next phase of growth, allowing us to scale our AI-enabled chronic care platform across Europe and expand our support to even more people living with chronic conditions. Join us, and be part of the team making that future possible!
Role Description As a Staff BI and Data Analyst within our People & Culture and Finance departments, you will be at the heart of Oviva. You will partner with senior stakeholders—including the Managing Director and Clinical Delivery Directors in Switzerland—to translate complex business priorities into actionable analytics roadmaps. Your work ensures we provide the best possible care to our patients while maintaining operational excellence. Qualifications - At least 6 years of experience in Data Analytics or Business Intelligence. - Fluency in complex SQL and significant experience with dbt. - Fluent in English; German language skills are a significant advantage for our Swiss partnerships. - Proficiency with Google Cloud Platform (BigQuery) and modern BI tools. - Experience with Python and version control (Github/Git) to further scale our data capabilities. Requirements - You are a strategic thinker who thrives in ambiguity and enjoys improving imperfect data sets. - You are a collaborator at heart, capable of mentoring others and leading through influence.
• Actively collaborate with business stakeholders to understand and translate functional requirements into technical specifications, ensuring proper implementation of use cases • Data flow implementation: design and implement new data flows on EDWH or Data Lake to meet specific business requirements, identifying and integrating necessary data sources • Data cleaning and preparation: conduct data preparation and cleaning activities to ensure the quality and reliability of the data used in analyses • Data quality techniques implementation: apply techniques and processes to ensure data integrity and reliability through quality control • Data model creation: develop specific data models for identified use cases, transforming input data into formats suitable for analysis and insight generation • Collaboration with dashboarding experts: work closely with dashboarding and data visualization experts to implement effective dashboards and reporting, presenting results in a clear and engaging manner



