Data Analyst - Edmond, OK - Contract - Only US Citizens

Best Consideration Date: Friday, August 1, 2025 PURPOSE OF POSITION: The Senior Data Insight Analyst plays a critical role in developing the insights and predictive analytics needed to support data-informed decision making across the University System of Maryland (USM). The responsibility of this position is full ownership of data projects, from problem definition to modeling, visualization, and documentation. The Senior Data Insight Analyst works closely with cross-functional teams to manage and analyze data; develop predictive models and algorithms; and translate data insights into strategic recommendations for USM leadership and stakeholders across the System. RESPONSIBILITIES: Predictive Modeling & Advanced Analytics: Develops and deploys predictive models (e.g., for enrollment projections, retention, workforce development) using Python/R and SQL. Conducts independent data analyses and builds visual reports to support institutional decision-making at the system level. Data Management & Engineering: Extracts, cleans, and manages data from data warehouse and ancillary databases. Designs and maintains scalable, well-documented data pipelines and analytical solutions. Validates data accuracy and ensures consistency across reporting systems. Collaboration & Strategic Support: Collaborates with departments and institutions to support strategic planning, student success, and outcome assessments. Assists, reviews, and contributes to Maryland Higher Education Commission (MHEC) reporting and data management. Documentation & Governance: Documents analytical processes, model logic, and data workflows for reproducibility and transparency. Upholds data governance, privacy, and equity-focused modeling practices. ANNUAL SALARY: $95,000-$120,000 Requirements MINIMUM QUALIFICATIONS: Required Education Level/Certifications: Bachelor’s degree in Data Science, Statistics, Computer Science, Social Sciences, or related field. Required Experience: 3 years of experience in data analytics, institutional research, or a related role. At least 1 of those 3 years must include hands-on work in predictive analytics Required Knowledge/Skills/Abilities: Proficiency in SQL and Python or R for data modeling and analysis. Skill in building predictive models and translating insights into strategic recommendations. Strong written and verbal communication skills, with the ability to convey technical content to non-technical audiences. Ability to communicate clearly and respectfully across different roles, technical backgrounds, and organizational levels. Ability to work independently and collaboratively in a deadline-driven, fast-changing environment. Ability to integrate predictive outputs into decision tools such as Power BI dashboards. High attention to detail and a strong commitment to data accuracy and integrity. Demonstrated ability to manage sensitive information with professionalism and discretion. Curiosity and a desire to explore beyond the immediate task to uncover deeper insights. Willingness to learn and adapt to new tools, technologies, and approaches. PREFERRED QUALIFICATIONS: Preferred Education Level/Certifications: Master’s degree in Data Science, Statistics, Computer Science, Social Sciences, or related field. Preferred Experience: Experience in higher education analytics. Preferred Knowledge/Skills/Abilities: Understanding of data ethics, bias mitigation, and data privacy best practices. Skill in the use of AI tools and techniques (e.g., machine learning, natural language processing, or generative AI) to enhance data analysis, uncover insights, and support decision-making. Skill in the use of Power BI, including data modeling, DAX, and visual storytelling. Knowledge of federal and state reporting requirements and familiarity with the higher education landscape, including enrollment trends, student outcomes, and policy frameworks. Benefits Paid Leave: 22 days of annual leave, 15 days of sick & safe leave, 15 holidays, 3 personal leave days, 12 weeks paid parental leave Health Benefits: Comprehensive medical, dental, and vision coverage with flexible spending accounts. Retirement Plans: Mandatory and supplemental options with major providers like Fidelity and TIAA. Life Insurance: Optional term life and AD&D benefits through MetLife. Tuition Benefits: Tuition remission for employees and their families. Training & Development: Free professional development conferences and unlimited LinkedIn Learning access. Credit Union Access: Membership eligibility for SECU, Maryland’s largest credit union. Employee Assistance Program (EAP): Free counseling, legal, financial, and work-life support services. Click to learn more.

The Data Analyst has exceptional analytical capabilities, thrives in a fast-paced environment, and loves problem-solving.  They are responsible for delivering reporting and analysis to drive business decisions to influence our client strategy, sales effectiveness, and audience segmentation. Essential Tasks Performs analysis of workflows, data, system details, and other technical or business issues associated with marketing and student recruitment Design, implement, and manage the business intelligence infrastructure Shape and lead analysis practice by delivering the metrics that drive weekly, monthly, and quarterly performance for each client Provide technical and team leadership and coaching for our database management team Solve complex problems and develop solutions to tasks or projects which may be unique, using judgment and initiative Other duties as assigned Preferred Skills and Experience 2+ years of relevant professional experience required Bachelor’s Degree in relevant field Excellent understanding of Microsoft products (Word and PowerPoint) Excellent written and verbal communication skills – including presentation skills Ability to maintain effective working relationships fellow team members, employees, and management Must be organized and detail oriented Proven ability to maintain a high standard of confidentiality and autonomy This person will show strong attention to detail skills as well as ability to work collaboratively and independently. Proven self-motivation to take initiative and master new tasks quickly Comfortable with discussing algorithms and data structures as well as brainstorming about topics such as business opportunities Fluent in web-related technologies including, but not limited to: SQL, MongoDB, Tableau, Google Analytics The pay range for this position is $60,000-65,000/year; however, base pay offered may vary depending on job-related knowledge, geographic location, skills, and experience. This position is eligible for an annual bonus in addition to a full range of benefits. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Benefits Medical Insurance, Life Insurance, Dental Insurance, Vision Insurance, PTO, Paid Parental Leave, Paid Holidays, Short Term Disability, Long Term Disability, 401K, Educational Assistance    Jenzabar does not discriminate in employment opportunities or practices on the basis of race, color, sex, gender, gender identity, pregnancy, childbirth and related medical conditions, genetics, genetic markers and carrier status, creed, religion, national origin, ancestry, age, disability, medical condition, marital status, sexual orientation, military service, veteran status, or any other status protected by state and federal laws.   Please Note: Jenzabar does not sponsor applicants for work visas.

The Data Analyst has exceptional analytical capabilities, thrives in a fast-paced environment, and loves problem-solving.  They are responsible for delivering reporting and analysis to drive business decisions to influence our client strategy, sales effectiveness, and audience segmentation. Essential Tasks Performs analysis of workflows, data, system details, and other technical or business issues associated with marketing and student recruitment Design, implement, and manage the business intelligence infrastructure Shape and lead analysis practice by delivering the metrics that drive weekly, monthly, and quarterly performance for each client Provide technical and team leadership and coaching for our database management team Solve complex problems and develop solutions to tasks or projects which may be unique, using judgment and initiative Other duties as assigned Preferred Skills and Experience 2+ years of relevant professional experience required Bachelor’s Degree in relevant field Excellent understanding of Microsoft products (Word and PowerPoint) Excellent written and verbal communication skills – including presentation skills Ability to maintain effective working relationships fellow team members, employees, and management Must be organized and detail oriented Proven ability to maintain a high standard of confidentiality and autonomy This person will show strong attention to detail skills as well as ability to work collaboratively and independently. Proven self-motivation to take initiative and master new tasks quickly Comfortable with discussing algorithms and data structures as well as brainstorming about topics such as business opportunities Fluent in web-related technologies including, but not limited to: SQL, MongoDB, Tableau, Google Analytics The pay range for this position is $60,000-65,000/year; however, base pay offered may vary depending on job-related knowledge, geographic location, skills, and experience. This position is eligible for an annual bonus in addition to a full range of benefits. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Benefits Medical Insurance, Life Insurance, Dental Insurance, Vision Insurance, PTO, Paid Parental Leave, Paid Holidays, Short Term Disability, Long Term Disability, 401K, Educational Assistance    Jenzabar does not discriminate in employment opportunities or practices on the basis of race, color, sex, gender, gender identity, pregnancy, childbirth and related medical conditions, genetics, genetic markers and carrier status, creed, religion, national origin, ancestry, age, disability, medical condition, marital status, sexual orientation, military service, veteran status, or any other status protected by state and federal laws.   Please Note: Jenzabar does not sponsor applicants for work visas.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space. We are looking for a Prinicpal Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team. Key Responsibilities: Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG. Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation. Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement. Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Requirements Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation. MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications. Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts. Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries. Ability to apply various analytical models to business use cases Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space. We are looking for a Prinicpal Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team. Key Responsibilities: Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG. Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation. Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement. Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Requirements Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation. MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications. Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts. Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries. Ability to apply various analytical models to business use cases Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Dolphin Debit, a full-service ATM management company and wholly owned subsidiary of Euronet Worldwide offers a complete suite of ATM management services, from routine maintenance and monitoring cash management and updates. We are hiring a Bilingual Business Technical Analyst to support our operations and technology team as well as project support.  You will be responsible for automating, integrating, and improving software development and business processes specifically in payments technology.  The Bilingual Technical Business Analyst is responsible for solving Level 2 & 3 escalated Payments/ATM support issues from the operations teams.  This position will also take on project manager role for technical projects.  This is a full-time office position located in New Orleans, LA.   Responsibilities: Automating Business Processes through technology Troubleshooting and resolving technical issues related to hardware, software, telecommunication, networks and providing quick solutions to minimize downtime Provides Level 3 ATM/Payments support Creates ATM software images via Python Scripting Perform other duties and tasks as assigned Improve and troubleshoot ATM screen flow Participate in implementations Requirements Bachelor’s degree in MIS, Technology, Business, or equivalent work experience Spanish and English speaking and English fluency is required Office 365: 2 years (Preferred) Telecommunications / Networking Protocols: 1 years (Required) SQL: 2 years (Required) Python or other scripting language: 1 year (Preferred) XML: 1 year (Required) Technical background, with hands-on experience in payments solutions and systems (Required) Benefits 401(k) Plan Health/Dental/Vision Insurance Employee Stock Purchase Plan Company-paid Life Insurance Company-paid disability insurance Tuition Reimbursement Paid Time Off Paid Volunteer Days Paid Holidays Casual Office Attire Plus many more employee perks & incentives! We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law.