Faculty responsible for developing and delivering data analytics courses to undergraduate and graduate students, integrating technology and responsible AI practices.
Locations (4)
Arizona, United States
California, United States
Indiana, United States
Pennsylvania, United States
Compensation
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.
Responsibilities
Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus
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
Requirements
Doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field
18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline
Nice to have: industry certifications in data analytics, data science, or business intelligence platforms
Nice to have: experience with data management and analytics ecosystems
Nice to have: experience with data governance and data lifecycle management
Lead the development and implementation of advanced data science models and algorithms to improve dispute resolution and operational effectiveness.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: San Jose, CA | Salary: $190,112.00-300,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.
Responsibilities
Develop, optimize, and execute data-driven strategies to identify, analyze, and manage payment disputes and chargebacks
Leverage large datasets to improve dispute resolution outcomes
Work cross-functionally with fraud prevention, customer service, and compliance teams
Analyze large volumes of transaction, dispute, and chargeback data
Develop and optimize dispute strategies
Requirements
Master’s degree in Data Science, Statistics, Business Analytics, or a closely related field
Bachelor’s degree in Data Science, Statistics, Business Analytics, or a closely related field
Senior Financial Analyst provides analytical and operational support for overseas FP&A activities, including financial reporting, budgeting, and process improvement initiatives.
Compensation
The anticipated compensation range is 22.75 - 44.50 USD Hourly
Responsibilities
Support preparation of monthly reporting packages, management reports, and financial review materials
Compile, validate, and organize financial data from multiple business units and overseas entities
Assist in variance analysis by comparing actual results against budget, forecast, and prior periods
Prepare recurring and ad hoc financial analyses to support business reviews and management discussions
Support development of presentation materials and reporting schedules
Requirements
Bachelor's degree in finance, Accounting, Economics, Business Administration, or a related field
Perform actuarial analyses across multiple lines of business, develop and maintain pricing models, evaluate loss reserves, and provide actionable insights to support underwriting, claims, finance, and strategic planning.
Compensation
The target base salary range for this position is $133,000 to $172,000.
Responsibilities
Perform actuarial pricing and reserving analyses for specialty insurance products
Develop and enhance actuarial pricing models and analytical tools
Analyze historical loss experience and emerging risks
Prepare reports and presentations for stakeholders
Evaluate data quality and implement process improvements
Requirements
Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, Economics, or a related quantitative field
Nice to have: CAS examinations
Nice to have: ACAS or FCAS designation
Nice to have: Specialty property and casualty products
Support technology and digital transformation projects across banking, payments, capital markets, and wealth management.
Compensation
The salary range for this position is CAD $23–$25 per hour.
Responsibilities
Support technology and digital transformation projects across banking, payments, capital markets, and wealth management.
Assist with analyzing technical systems, business processes, data flows, and opportunities for improvement.
Contribute to technical research, data analysis, dashboards, prototypes, or other technology-related deliverables.
Collaborate with project teams to gather requirements, document findings, and support the design of practical solutions.
Prepare clear presentations, documentation, and research materials to communicate technical findings and recommendations.
Requirements
Bachelor's or equivalent degree in Computer Science, Information Technology, Software Engineering, Data Analytics, Engineering, Information Systems, or a related field
Nice to have: LLMs
Nice to have: AI tools such as GPT, Codex, Gemini, Copilot
The Director Business Intelligence will lead the analytics, reporting and insights team for Client Operations and all CAI Contact Centers, harnessing data through analytics to improve customer and employee experience.
Compensation
Compensation includes a base salary in the range of $148,500.00 - $247,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Responsibilities
Create the vision and roadmap for Client Operations and CAI Contact Center business analytics function and strategy, projects, and strategic business cases.
Lead a team of people leaders, analysts and/or data scientists to develop and successfully execute data roadmap and initiatives in partnership with cross-functional teams.
Provide insights and own the reporting, data validation, trending and analysis that underpins strategic decision making.
Build insights at scale, elevating data systems and analytics to allow for faster, better, and more systematic insights.
Develop plan to automate key processes and collaborate with Technology partners to execute on plan.
Seeking quantitative researchers with expertise in research methods, causal inference, and policy research to conduct studies and support program evaluation across human services like TANF, employment, child welfare, and economic mobility.
anticipated base salary of $100,000 - $135,000 annually
Responsibilities
Collaborate with senior staff to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis
Learning and applying new methods, tools, and technologies, including AI-enabled tools and data visualization platforms
Designing rigorous mixed-methods evaluations, including primary and secondary data collection
Applying innovative research approaches and advanced statistical methods to answer policy-relevant questions
Working with data scientists to link and analyze administrative data
Requirements
Ph.D. or equivalent in economics, psychology, sociology, statistics, data science/data analytics, demography, or a related field
Masters’ degree with coursework in causal inference and demonstrated experience (in lieu of PhD)
Nice to have: AI-enabled tools
Nice to have: data visualization platforms
Nice to have: understanding of federal human services policies and programs
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