This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The AI Data Analyst is responsible for leveraging artificial intelligence techniques to analyze large datasets, extract meaningful insights, and support data-driven decision-making within our organization. This role combines traditional data analysis skills with advanced AI tools to optimize processes, predict trends, and contribute to strategic business goals. - Collect, clean, and preprocess structured and unstructured data from various sources to ensure data quality and integrity. - Apply machine learning algorithms and AI models to analyze complex datasets and identify patterns, correlations, and actionable insights. - Collaborate with data scientists, engineers, and business stakeholders to define analytical goals and interpret findings. - Build metrics and checkpoints for business processes to show evidence or trends. - Visualize results using dashboards, charts, and reports to effectively communicate insights to both technical and non-technical audiences. - Monitor and maintain AI models to ensure accuracy and relevance, retraining models as necessary. - Stay current with industry trends, AI advancements, and emerging technologies to recommend innovative solutions. - Ensure compliance with data privacy regulations and organizational data governance policies. Qualifications - Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. - Minimum of two years of experience in data analysis, statistical modeling, and working with AI frameworks. - Microsoft Fabric experience is required. - Proficiency in programming languages such as Python, R, or SQL. - Strong analytical, problem-solving, and critical thinking skills. - Excellent communication skills for presenting complex data findings clearly. - Experience with data visualization tools (e.g., Tableau, Power BI). Requirements - Familiarity with cloud computing platforms (e.g., Azure, Other Microsoft technologies). - Knowledge of big data technologies. - Understanding of natural language processing (NLP) and computer vision techniques. - Ability to work independently and as part of a multidisciplinary team. Benefits The pay range listed for this position is based on candidate's skill level, experience, relevant licenses, and educational background. For detailed information about our benefits, please visit our careers page at www.marconet.com/careers. Location This is a remote-eligible position; however, Marco Technologies requires employees to reside within one of the following states: DE, FL, IA, IL, IN, KY, MD, MI, MN, MO, ME, NE, ND, NJ, PA, RI, SD, TX, WI.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The COBRA Data Analyst is a detail-oriented and dependable role responsible for supporting key operational functions through advanced Excel work, data analysis, and audit activities. This position focuses primarily on back-end processing, including: - Analyzing complex spreadsheets - Importing data into internal systems - Generating accurate reports to support compliance and operational workflows The ideal candidate is comfortable working independently, managing their workload with minimal oversight, and maintaining a high level of accuracy in a fast-paced environment. While the role is primarily operational, there will be opportunities for client or customer interaction, particularly when providing backup support to front-facing team members. Strong communication skills and professionalism are important for these situations. A background in COBRA administration is highly preferred and would be a significant advantage, though it is not required. Candidates without COBRA experience should demonstrate the ability to learn regulatory or process-heavy subject matter quickly. Qualifications - Strong troubleshooting skills and ability to work with large data sets - Advanced Microsoft Excel skills, including ability to understand and trace complex formulas and proficient in use of VLOOKUP - Ability to solve problems and develop best practices for new processes - Must be a self-starter and have proficiency in time management and organization - Demonstrated ability to work independently, prioritize tasks, and meet deadlines - High level of reliability, attention to detail, and follow-through - Experience with COBRA administration is a major plus but not required - Ability to communicate clearly and professionally when interacting with clients or customers – Both written and verbal Requirements - Analyze, interpret, and reconcile data within Excel using advanced functions and formulas - Import, validate, and maintain data across multiple internal systems - Perform routine and ad-hoc audits to ensure accuracy and compliance - Produce clear, reliable reporting to support internal teams and leadership - Serve as backup support for client- or customer-facing tasks as needed - Maintain confidentiality, accuracy, and consistency in all work performed - Understand the underlying purpose and intent behind processes, identifying opportunities to streamline workflows and implement efficiencies Benefits - Competitive Salary Range: $25-$28/Hr. - Generous health benefits - Company sponsored wellness benefits - Complimentary Life Insurance and Long-Term Disability Insurance - Paid time off - 6 Paid Holidays & 2 Paid Floating Holidays - Work from home and hybrid schedules available! Work Environment Candidates within 30 miles of one of our four office locations may be asked to come into the office for a hybrid schedule depending on the role. Eligible candidates will reside in one of the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MA, ME, MI, MN, MO, MT, NC, ND, NE, NJ, NV, NY, OH, OR, PA, SD, TN, TX, UT, AND WA. Ready to Join Us? Take the first step toward your new career in creating better lives — apply now! For any questions or to check on your application, reach out to [email protected] . Please visit our career page and apply directly: www.naviabenefits.com/workatnavia Not all positions allow for remote work, but those that do will only be available in the following states: AZ, CO, FL, GA, IL, IN, KS, MI, MN, MO, MT, NC, ND, NE, NJ, NV, NY, OH, PA, SD, TN, TX, UT.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Data Analyst (Operations) supports and optimizes OncoHealth’s prior authorization data workflows by ensuring accurate, timely, and compliant data exchange across payer, vendor, and internal systems. This role combines deep knowledge of healthcare authorization processes with strong technical and analytical skills to manage X12 278 transactions, API integrations, and multi-source data reconciliation. The analyst partners closely with Engineering, Clinical Operations, Product, and Client Success teams to troubleshoot issues, improve turnaround times, reduce denials, and ensure data integrity across the prior authorization lifecycle. - Manage, validate, and monitor prior authorization data flows in compliance with X12 278 standards. - Support and maintain API-based and file-based authorization integrations. - Develop dashboards and reports tracking authorization volumes, turnaround times, and outcomes. - Support testing of new features and workflow changes impacting authorizations. - Maintain detailed documentation of authorization workflows and integrations. - Ensure workflows align with URAC standards and CMS guidelines. Qualifications - Bachelor’s degree or relevant experience required. - 5-7 years of experience in data processing and analysis. - Experience with RxClaim, JUDI, or similar authorization systems. - Familiarity with prior authorization wrapper implementations. - Background in healthcare operations or digital health analytics. - Proficiency in SQL and experience with Python or similar tools. - Strong analytical, problem-solving, and communication skills. - Strong understanding of X12 EDI standards, especially 278 transactions. - Hands-on experience with REST and/or SOAP APIs. - Experience reconciling data across multiple healthcare systems. Location OncoHealth is committed to remote, hybrid or in office work options. The majority of the team will be remote or in hybrid work arrangements with offices in Atlanta, GA and Guaynabo, PR. We are open to employees nationwide but work primarily in the Eastern and Central Time Zones. Culture Taking ownership of quick action, critically thinking through the needs, and working well with others are key competencies of team member success. Our leadership is dedicated to building a culture based on respect, clinical excellence, innovation – all with a focused mission of putting patients first! - We offer a full benefit package on your first day, along with a company bonus. - You may visit or work from our very modern and engaging offices, and experience a fun, collaborative environment where social activities and community events matter. - We enjoy being together! Equal Opportunity Statement OncoHealth is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Opportunity The cost of cancer related medical services and prescription drugs in the United States is expected to reach $246 billion by 2030. OncoHealth has enjoyed rapid growth over the past 3 years and seeks smart, collaborative people to join its team. We have just under 250 team members, so we can move swiftly but precisely to the market needs of our customers. Strongly backed financially by Arsenal Capital Partners & McKesson Corporation, we remain in an investment and growth mode. This means we are open-minded to how we get the work done – now is the perfect time to talk to us! Current Solutions - Through the use of OncoHealth's utilization management system, OneUM, our customers can use a single e-Prior Authorization portal for all oncology drug request and treatments. Our system improves quality of care, reduces provider abrasion and gives health plans visibility into the total cost of oncology treatment. - OncoHealth offers Oncology Insights Pro, an analytic software solution that enables health plans to use data and analytics to improve oncology programs. Using real world data, our engineers normalize data to create analytic dashboards with drill down compatibilities. The data is paired with expert guidance providing the strategies and insight needed to keep up with the continuing evolving cancer treatment landscape. - OncoHealth offers Pharmacy Consulting services to health plans and pharmaceutical companies. New cancer treatments are entering the market at an unrelenting pace. Since 2018, the FDA approved 121 new cancer applications including 49 novel cancer drug entities. Our Board-Certified Oncology Pharmacologists can help health plans update drug policies, offer utilization management and formulary advice, and development training for staff. - OncoHealth's latest offering is Iris, a digital telehealth platform that delivers personalized, oncology-specific support to navigate the physical symptoms and emotional challenges caused by cancer and cancer treatment. Powered by technology, staffed 24X7, and delivered with empathy, Iris allows patients to connect with trained oncology experts and receive personalized, oncology-specific telehealth support.

• Interact with internal stakeholders to understand their primary needs and translate them into quantitative requirements; • Define concepts, metrics, and KPIs that support identifying specifics and aid decision-making; • Build data pipelines and models, applying business rules to provide internal stakeholders with quantitative backing for guidance; • Create analytical solutions to be presented as dashboards (from ideation and development to monitoring usage and effectiveness); • Maintain, document, and improve our code standards, pipelines, and the organization of our data warehouse; • Perform exploratory data analysis to identify trends, patterns, and meaningful insights; • Stay up to date with the latest trends and techniques in data science and apply them to the company's data analysis projects.