• Design and develop Power BI dashboards and semantic data models for investment reporting and analytics • Translate complex data (holdings, transactions, performance, exposures) into clear, user-centric visualizations • Partner with business stakeholders (investment operations, portfolio management, data teams) to gather requirements and deliver insights • Build and optimize Power BI data models (DAX, Power Query, dataflows) • Work with engineering teams to leverage cloud data platforms (Snowflake, Azure, Databricks) as the source of truth • Ensure data accuracy, consistency, and performance across reporting layers • Apply row-level security and governance best practices

Title: Senior Data Analyst Location: Remote US Job Description: University of Colorado Medicine (CU Medicine) is the region’s largest and most comprehensive multi-specialty physician group practice. The CU Medicine team delivers business operations, revenue cycle and administrative services to support the patients of over 4,000 University of Colorado School of Medicine physicians and advanced practice providers. These providers bring their unparalleled expertise at the forefront of medicine to deliver trusted, compassionate health care services at primary and specialty care clinics as well as facilities operated by affiliate hospitals of the University of Colorado. We are seeking a highly skilled Senior Data Analyst to join our team. This job can be performed 100% remotely and out of state candidates will be considered. The Senior Data Analyst will identify operational revenue cycle performance improvement opportunities through proactive collection, analysis and interpretation of data and communicate this insight to key decision makers. The individual in this position will participate in new initiatives as a partner in the original and continuous discovery of the link between business process improvement and actionable data. The Sr. Analyst will be tasked with researching and developing investigative and root cause tools and strategies that positively impact operational improvement. Essential Duties Utilize revenue cycle data and statistical methods to provide diagnostic and predictive insight into operational performance based on knowledge of business objectives while proactively suggesting methods of improving operations and implementing methodologies. Identify user needs and product requirements for Operational Analytics reporting assets/tools including selection, design, documentation, testing and implementation of products based on these requirements. Facilitate strategic decisions through optimized reporting, advanced analytics and proactive discovery. Initiate/participate/influence in relevant meetings or presentations to provide subject matter expertise and guidance to executive leadership. Support decision makers in using appropriate analytics tools and processes in order to perform advanced data analysis. Maintain project plan and priority status for all projects to ensure project timelines are met. Perform other duties and assist with special projects as assigned. Requires a bachelor’s degree in statistics, computer science or business-related field and 7-10 years relevant experience, preferably in a physician billing or hospital environment. An MBA is highly preferred. Must have expert level proficiency in report development using SQL Server Management Studio and Microsoft Excel, with strong working experience in the development of spreadsheets, pivot tables and visualizations. Experience in AthenaIDX is preferred. Experience in STATA, Python or R (or similar data science tool/language); and visualization tools such as Tableau or PowerBI is highly desired. Epic Clarity Certification (in any Clinical and/or Revenue Cycle modules) is a plus. The ability to gather information and understand the context from several sources, analyze this information to draw conclusions and make proactive recommendations to high level decision makers is essential to success. Must have strong project management skills and the ability to ensure project timelines are met. Experience in Six Sigma or similar methods for process improvement initiatives is preferred. The ability to work in a team environment working cohesively with others to achieve goals and initiatives is required. Must be flexible and maintain positive working relationships. All applications MUST be submitted via our website. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. CU Medicine is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing non-discrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. CU Medicine is dedicated to ensuring a safe and secure environment for our staff and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees prior to their employment. The listed pay range (or hiring rate) represents CU Medicine’s good faith and reasonable estimate of the range of possible compensation at the time of posting and is based on evaluation of competitive market data. A variety of factors, including but not limited to, internal equity, experience, and education will be considered when determining the final offer. CU Medicine provides generous leave, health plans and retirement contributions which take your total compensation beyond the number on your paycheck. Find information about our benefits here. CU Medicine will post all jobs for a minimum of 7 days or until 250+ applicants have been received (whichever comes first). CU Medicine supports a Tobacco Free Workplace Environment which prohibits smoking and the use of tobacco products on CU Medicine property, Anschutz Medical Campus and adjacent business locations.

Description and Requirements The Pet Senior Data & Analytics Consultant is responsible for delivering the data and analytical insights that support the pet business's pricing, retention, and performance objectives. This new position on the Pet Product Team will serve as the internal leader for data structure, reporting, and analysis, and will play a key role in improving and further developing the department's data and measurement capabilities. The role ensures the business has accurate, reliable data to evaluate performance, monitor key drivers, and support sound, data-driven decision-making. This is a highly visible role within the organization and will operate closely with business leaders on a day-to-day basis to support the pet business's analytical, reporting, and performance-monitoring needs. Principal Responsibilities: - Supporting Pet Executive Team in extracting reporting from our data tables and systems of record (SORs) - Develop and maintain tooling to track cross functional performance, giving guidance where necessary - Manage analytics initiatives end-to-end, collaborating with the Data & Analytics and IT teams - SQL modeling for complex and layered problems not yet solved by Data Engineering - Utilize data and dashboards to identify opportunities for improving policy holder retention - Audit and reconcile differences in reporting across various teams - Organize multiple data sources and tables to build and prepare data foundations for each business use case - Will be responsible for UAT & QA testing, data analysis, data visualization, measurement, and analytics - Work closely with Pet Executive Team to review and monitor reporting requirements. This is a very technical hands-on role and is responsible for the functional design of the end-to-end data process - Work with business owners and data scientists to translate given business problems into analytical solutions with defined outcomes - Drive Continuous Improvement: Constantly analyze existing processes and systems to identify opportunities for automation and optimization Knowledge/Skills/Competencies Required: - 5+ years of relevant experience (Pet Insurance knowledge a plus) - Expert proficiency in SQL required for data extraction and transformation - Expert proficiency in Microsoft Excel required (VBA a plus) - Proficiency with PowerBI and data visualization - Understanding data warehousing concepts and architecture - Support pricing and underwriting decisions through data analysis - Experience designing and maintaining scalable reporting solution - Design analytics that directly inform pricing, retention, and portfolio performance decisions - Strong project management skills including problem solving, attention to detail, analytical thinking, and decisiveness Preferred: - Actuarial background The expected salary range for this position is $76,500 - $125,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms. Benefits We Offer Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more! About MetLife Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World's 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us! MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law ("protected characteristics"). If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liabilities. $76,500 - $125,000

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces. Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners. Opportunity: DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields. - Courses meet once or twice a week for eight weeks. - Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment. - Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements. - Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives. - All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. - DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. - As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support. Responsibilities: - Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives. - Organizes, prepares, and regularly revises and updates all course materials. - Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students. - Models effective oral and written communications that engage the students, provide clarity, and improve student learning. - Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. - Ensures that the content and level of material included on exams correspond to the course terminal objectives. - Demonstrates consistency and fairness in the preparation and grading of exams, and provide timely feedback to students. - Completes other duties as assigned. Required Qualifications: To perform this role successfully, an individual must be able to carry out each essential duty effectively. The requirements listed below represent the knowledge, skills, and abilities needed to teach and support learners in data analytics and data-driven technologies. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. - A doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline. - Applicants must upload unofficial graduate-level transcripts with their application. - Degrees must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an international institution determined to hold equivalent accreditation. - Three to five years of applied professional experience in data analytics, data science, business intelligence, statistical analysis, or data-driven decision support. - Demonstrated experience with data analysis tools and programming environments, which may include statistical software, data visualization platforms, database technologies, and programming languages used for analytics. - Industry-recognized certifications or professional credentials relevant to data analytics, data science, business intelligence, or statistical analysis. - Strong subject matter expertise in data analytics concepts and methodologies, combined with effective communication skills and the ability to translate complex quantitative concepts for diverse learners. - Knowledge of ethical and responsible data practices, including data governance, privacy considerations, bias awareness, and responsible use of data in decision-making. - Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply. - Faculty must demonstrate excellent motivational and instructional skills in a non-traditional learning environment. - The candidate must work collaboratively and effectively facilitate the efforts of groups with varied backgrounds, experiences, and perspectives. Preferred Qualifications - Industry certifications in data analytics, data science, or business intelligence platforms (e.g., Python-based analytics certifications, data analytics practitioner credentials, or comparable industry-recognized certifications). - Experience with data management and analytics ecosystems, including databases, data warehousing, data pipelines, and large-scale data processing environments. - Experience applying analytics frameworks and methodologies, such as predictive analytics, exploratory data analysis, statistical modeling, and data visualization. - Experience with data governance and data lifecycle management, including data quality, compliance, and responsible data stewardship. - Experience with programmatic or regional accreditation processes, including outcomes assessment, curriculum alignment, and continuous improvement. - Active membership or engagement in professional analytics, statistics, or data science organizations to maintain current industry knowledge. - Experience integrating data analytics laboratories, real-world datasets, and analytics platforms into post-secondary instruction to support applied learning. - Two to five years of teaching experience at the post-secondary level, preferably in data analytics, statistics, business intelligence, database management, or related disciplines. Pay: Visiting Professor pay is based on level, the number of credit hours taught per 8-week session, and location. In addition, DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. - Pay may vary in most states from $1500-$2700 per 8-week session - Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour For Visiting Professor roles, we accept applications on an ongoing basis. DeVry University offers benefit options for Visiting Professors, including: - 401(k) and Roth Plan - Paid Tuition Program - Remote and Flex Work Options - Paid Sick Time - Technology Stipend Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits. We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.