Senior Data Management Analyst About the Role The Senior Data Management Analyst is responsible for ensuring data is accurate, complete, and reliable across systems. This role focuses on assessing data quality, identifying issues, and putting controls and processes in place to maintain high data standards. The analyst works closely with product teams, business partners, and governance groups to ensure data meets business and regulatory expectations. What You'll Do - Assess data quality across data elements and data structures - Identify and document issues related to data accuracy, completeness, and formatting - Design and run data quality checks using manual and automated methods - Perform ongoing and ad hoc data reviews, audits, and investigations - Analyze root causes of data issues and recommend remediation actions - Prepare clear reports and summaries of findings for stakeholders - Create and maintain documentation for: - Data quality testing processes - Standards and procedures - Governance and control guidelines - Ensure data aligns with product requirements, client needs, and governance rules What You'll Need Education Required - Bachelor's degree in Computer Science, Information Technology, or a related field - OR - A related degree with 7+ years of relevant data management experience Preferred - Data-related certifications (e.g., CDMP, Certified Data Quality Professional) Skills & Experience Required - 4+ years of experience in data quality or data management roles - Experience building and implementing data quality frameworks, policies, and controls - Strong understanding of: - Data governance - Master data management - Data modeling - Hands-on experience with: - SQL - ETL processes - Data profiling and data cleansing techniques - Ability to: - Investigate complex data quality issues - Perform root cause analysis - Develop and execute remediation plans Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide. Employee Type: Contract Remote: Yes Location: Cleveland, OH, US Job Type: Date Posted: May 1, 2026 Pay Range: $50 - $60 per hour Similar Jobs - Data Management Analyst - Configuration Data Management Analyst - Sr. Data Analyst - Data Analyst Senior - Sr Data Analyst

Role Description The Evaluator applies expertise in the relevant content area to review students’ assessments and determine mastery of learning objectives and course competencies. The Evaluator provides accurate and helpful feedback on assessments to help students develop course competencies and progress through their academic programs. This role applies evaluation processes, procedures, and policies to ensure assessment feedback is consistent, personalized, and timely. This role participates in ongoing training to ensure they apply the latest evaluation strategies to new and updated course and program learning objectives and competencies. - Analyze and evaluate assessments to determine students’ mastery of learning objectives and course competencies. - Prepare accurate, helpful, and consistent feedback to help students develop course competencies. - Apply evaluation processes, policies, and procedures when reviewing and determining students’ mastery of course learning objectives and program competencies. - Stay current with updates to evaluation processes; adopt and apply updated and new evaluation processes as they occur. - Collaborate with team members and leadership when evaluating new and complex assessments to ensure consistent evaluation ratings. - Review evaluation feedback from team members and leaders, apply input as needed to ensure evaluation methods align with department and team expectations. - Partner with team members and leaders to improve evaluation processes that promote consistent scoring and improve evaluation processes. Qualifications - Minimum earned Master’s Degree in a computing field (Computer Science, Information Technology, Software Development, Data Analytics, Information Systems, Computer Engineering, Applied Mathematics, or similar). - Minimum of 3 years of work experience, teaching, or research in a computing field. - Doctorate or ABD preferred. - Professional certifications. - Preferred experience in the following areas: Applied Mathematics, Applied Statistics, Data Analytics, Python, R, Data Mining, Data Science, Machine Learning, Quantitative Methods, Reporting, Statistical Tests, Parametric, Nonparametric, NLP, Classification, Clustering. Requirements - Work schedule will be determined by student and team needs and may include evenings, weekends, and holidays. - Prolonged periods sitting at a desk and working on a computer. Benefits - Eligible for vision and mental healthcare. - Flexible spending account. - Voluntary life insurance. - Accident, critical illness and hospital indemnity supplemental coverages. - Legal and identity theft coverage. - Retirement savings plan. - Wellbeing program. - Discounted WGU tuition. - Prorated paid holidays and accrued sick time. Company Description WGU is driven by a mission to expand access to higher education through online, competency-based degree programs. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders.

Role Description The Commercial Integrated Care Analytics team supports DaVita Integrated Kidney Care (DaVita IKC), the renal population health management division serving approximately 70,000 patients. A key component of our strategy is developing advanced data analytics to inform program performance and model of care design. We are seeking a Senior Analyst to act as a project lead and trusted analytic partner. In this role, you will move beyond execution to proactively influence strategic direction, answer advanced analytical questions, and mentor other teammates. You will be responsible for monitoring the performance of value-based care programs and driving operational improvements through data. Essential Duties and Responsibilities - Advanced Analytics & Strategy - Proactive Analysis: Identify and address business questions by formulating analytic hypotheses and designing methodologies to inform decisions proactively. - Insight Generation: Translate complex analyses into a narrative with clear recommendations, leveraging visualization tools to tell the story to executive leadership. - Strategic Influence: Interpret how circumstances across the business and industry impact work and proactively adapt analytic approaches. Quantify and articulate the value generation of your work. - Technical Execution & Quality Assurance - Advanced Development: Write and optimize complex SQL queries against data warehouses to support analytic requests. - Quality Assurance: Execute analyses with high accuracy and conduct timely QA of others’ work to ensure data integrity. - Tool Advocacy: Help teammates elevate their technical skills by advising and coaching. Advocate for technical tools that improve team performance and efficiency. - Project Management & Leadership - Project Ownership: Effectively delegate and manage capacity to deliver priorities. Design and maintain management processes to drive projects forward using tools like Asana. - Stakeholder Management: Manage timelines with stakeholders independently, providing proactive communication on impacted timelines and alignment on next steps. - Mentorship: Provide mentorship, guidance, and training to Gemini teammates. Lead "Special Place" committee events and onboarding activities for new analysts. - Scalability: Identify systematic challenges and design scalable solutions to improve performance and efficiency across the portfolio. Qualifications - Bachelor’s degree in business, public health, health informatics, analytics, math, statistics, computer science, or a related field. - 2+ years of experience with business/data analysis (healthcare preferred). - Proven experience leading projects or workstreams. - Advanced Proficiency in SQL: Ability to write complex queries, joins, and perform data manipulation. - Intermediate to Advanced Tableau: Ability to design and utilize interactive dashboards. - Advanced Excel & PowerPoint: Expert-level skills in data manipulation and executive-level presentation design. - Critical Thinking: Deductive and inductive reasoning skills; ability to assess credibility and bias of information. - Communication: Ability to land "so what" messaging and cater details to different audiences (clinical, finance, operations). - Mentorship: Experience or strong desire to coach and develop analysts and developing teammates. Benefits - A "community first, company second" culture based on Core Values that really matter. - Performance-based rewards based on stellar individual and team contributions. - Opportunity to directly influence patient care strategies through data-driven storytelling.

• Develop, maintain, and enhance standard operational dashboards and reports under the guidance of the Supply Chain Data Scientist • Track key metrics including On-Time Delivery (OTD), reliability, utilization, and supply performance across manufacturing, quality, and logistics • Perform routine and ad-hoc analyses of manufacturing, QC, and distribution data to identify trends, variability, and performance drivers • Support real-time and historical reporting to improve operational visibility and responsiveness • Create and manage master data governance and support SQL database. • Support demand-to-capacity planning through descriptive and diagnostic analysis • Assist with data preparation and analysis for dose allocation and network balancing efforts • Contribute data and insights to initiatives focused on improving network efficiency and resilience • Perform analysis on large operational datasets to identify patterns, anomalies, and improvement opportunities • Apply basic statistical methods to monitor process performance and operational risk indicators • Support forecasting, planning, and optimization work led by the Supply Chain Data Scientist and Head of Materials Management through data preparation and analysis • Document assumptions, metrics definitions, and data logic to ensure clarity and repeatability • Work closely with and take analytical direction from the Supply Chain Data Scientist • Partner with: RadioPharma Operations leadership • Manufacturing and MSAT teams • External Manufacturing and CMO partners • Commercial demand planning teams • Digital / IT data teams • Translate operational questions into structured reports, analyses, and visualizations • Support continuous improvement of analytical tools, dashboards, and data models