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

Role Description World Fuel is hiring a Tax Data & Automation Analyst to help modernize and scale our global tax operations through process automation, data optimization, and digital enablement. This role sits at the intersection of tax, data, and technology, supporting the delivery of a value‑driven automation roadmap that improves efficiency, governance, and insight across the tax organization. You’ll work closely with tax subject‑matter experts, technology partners, and process owners to design scalable automation solutions, strengthen tax data foundations, and accelerate our global tax digital maturity. This position is well‑suited for a hands‑on analyst who enjoys translating business needs into automated, data‑driven solutions and who thrives in a collaborative, transformation‑focused environment. Key Responsibilities - Support the execution of the tax automation and optimization roadmap, managing priorities and delivery of initiatives. - Act as first‑line support for automation solutions during implementation and post‑go‑live second‑line support. - Monitor and report on performance of existing automations, identifying opportunities for enhancement and efficiency gains. - Partner with tax SMEs to identify inefficiencies, improvement opportunities, and opportunities for standardization. - Perform AS‑IS vs. TO‑BE gap analyses, including systems, reporting, controls, and data flows. - Lead value stream mapping (VSM) activities across tax functions to identify automation and optimization opportunities. - Design and document end‑to‑end process flows, including current‑state pain points and future‑state solutions. - Promote self‑service reporting and automation capabilities to accelerate tax digital maturity. - Benchmark and evaluate emerging automation tools (e.g., UiPath, Alteryx, Power Automate, low‑code and ML solutions). - Review tax‑critical datasets (Corporate and Indirect Tax) for accuracy, completeness, and consistency. - Support remediation efforts, validate outcomes, and improve reliability of tax data. - Assist in building and maintaining standardized tax reporting views, datasets, and analytics used for compliance, audits, and internal reporting. - Contribute to tax data governance, including critical data elements, ownership, stewardship, and data lineage documentation. - Serve as an administrator for assigned tax automation and reporting tools, maintaining process and system documentation. Qualifications - Bachelor’s degree in MIS, Information Systems, Data Analytics, or equivalent experience. - 4+ years’ experience delivering process automation or optimization solutions. - 2+ years’ hands‑on experience with agile delivery methodologies (required). - 2+ years’ experience with automation and/or process optimization tools (required). - Working knowledge of automation platforms such as UiPath, Alteryx, Power Automate, low‑code tools, ML, or similar (preferred). - Experience using tools such as Jira, Visio, Confluence, or similar (preferred). - Strong SQL skills, including complex queries, joins, and understanding of data structures and tax data warehouses. - Foundational understanding of accounting and tax concepts and how they translate into automated processes. - Strong written and verbal communication skills with the ability to engage both tax and non‑tax stakeholders. - Highly organized, detail‑oriented self‑starter who can manage multiple priorities. - Analytical, problem‑solving mindset with the ability to explain why tax data governance matters to broader business partners. Benefits - Exposure to global tax transformation initiatives. - Meaningful ownership and visibility into automation outcomes. - Collaborative environment bridging tax, finance, and technology. Company Description World Kinect is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.