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Data Analytics Project Manager Jobs in Orem, UT (NOW HIRING)

Zions Bank

Financial Data Analytics Manager

Midvale, UT · On-site

$99K - $130K/yr

This Financial Data Analytics Manager will own the strategy, delivery, modernization, and reliable operation of critical data products supporting regulatory reporting, liquidity and balance-sheet ...

EnterBridge

Engagement Manager/Project Manager

Lehi, UT · On-site

Act as a project manager on each engagement. * Manage relationship with clients including weekly ... Bachelor's degree in business, information systems, data analytics, economics, or other relevant ...

Boccard

Project Manager

Riverton, UT · On-site

Analyze and explain technical and budgetary variances * Carry out project closeout, prepare project ... Competency in MS Suite, ERPs, and other data entry software Travel : Yes, required (up to 40%

Quanta Services, Inc.

Project Cost Analyst

Provo, UT · On-site

$60 - $90/hr

The Project Cost Analyst supports the financial and cost-control functions of construction projects ... Enter and maintain cost data in Ecosys and other financial management systems in a timely and ...

Quanta Services

Project Cost Analyst

Provo, UT · On-site

The Project Cost Analyst supports the financial and cost-control functions of construction projects ... Enter and maintain cost data in Ecosys and other financial management systems in a timely and ...

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How much do data analytics project manager jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data analytics project manager in Orem, UT is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $58.51 per hour, depending on experience, location, and employer.

What is a data analytics project manager?

A Data Analytics Project Manager oversees data-driven projects, ensuring they align with business goals and are completed on time and within budget. They collaborate with data analysts, engineers, and stakeholders to define project requirements, manage resources, and monitor progress. Their role involves coordinating data collection, analysis, and visualization to support strategic decision-making. Strong project management, communication, and analytical skills are essential for success in this role.

What does a data analytics project manager do?

A Data Analytics Project Manager is responsible for overseeing the end-to-end lifecycle of analytics projects, including defining project scope, setting timelines, and managing resources. On a daily basis, you may coordinate with data analysts, data engineers, and business stakeholders to ensure requirements are clear and progress is on track. You will likely review deliverables, address roadblocks, and adjust plans as needed while ensuring that the team is aligned with business objectives. Regular communication and reporting to upper management or clients is also a key part of the role.

What are the key skills and qualifications needed to thrive as a data analytics project manager?

To excel as a Data Analytics Project Manager, you need a solid background in data analysis, project management methodologies (such as Agile or Waterfall), and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, Tableau, and project management software (such as Jira or Asana), along with certifications like PMP or Certified Analytics Professional, is highly valued. Strong leadership, communication, and problem-solving skills help you effectively coordinate teams and manage stakeholder expectations. These abilities are crucial for driving data projects to completion, ensuring analytical insights align with business goals, and adapting to evolving project requirements.

What are popular job titles related to Data Analytics Project Manager jobs in Orem, UT?

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Professional in Residence - Data Analytics

Utah Valley University

Orem, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Utah Valley University rating

6.8

Company rating: 6.8 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

483rd of 628 rated colleges and universities

Job description

Salary: Depends on Qualifications
Location : Main Campus - Orem
Job Type: FT Faculty
Job Number: FY2706534
Division: VP Academic Affairs
Department: Strategic Management and Operations
Opening Date: 08/28/2026
Closing Date: 9/9/2026 11:59 PM Mountain
Required Documents Needed to Apply: Resume
Cover Letter
Optional Documents: Curriculum Vitae
Applicant Support: 1-855-524-5627
Support@schooljobs.com
Position Announcement
Join the Woodbury School of Business as a Professional in Residence in Data Analytics and help prepare the next generation of business professionals for success in a rapidly evolving, data-driven economy! This role offers the opportunity to combine industry expertise with teaching, allowing you to make a meaningful impact on students while staying connected to current business practices and emerging technologies. As a key link between academia and industry, you will help shape curriculum relevance, support experiential learning opportunities, and guide students as they develop the analytical, technical, and professional skills sought by today's employers. If you are passionate about applying real-world experience in the classroom, mentoring future professionals, and contributing to a collaborative academic environment focused on student achievement and workforce readiness, this position offers a rewarding and influential career opportunity.
Summary of Responsibilities
  • Designs, prepares, and delivers undergraduate and graduate courses in Data Analytics using engaging, applied instructional methods across face-to-face, hybrid, livestream, and online modalities. Integrates data visualization, statistical analysis, AI-enabled analytics tools, and modern business intelligence platforms into instruction. Evaluates student learning using appropriate assessments and provides timely, constructive feedback while fostering an inclusive, student centered learning environment.
  • Serves as a liaison between the WSB and industry partners to ensure curriculum reflects current workforce expectations. Develops employer-sponsored projects, guest lectures, case competitions, internships, and experiential learning opportunities. Maintains active engagement in the analytics profession through consulting, professional organizations, certifications, conferences, or other continuing professional development activities. Promotes industry partnerships that enhance student success and program visibility.
  • Develops measurable learning outcomes, instructional materials, cases, labs, and experiential learning projects that reflect current industry practices. Continuously improves curriculum to align with evolving technologies and employer needs. Maintains regular office hours and advises and mentors students in academic progress, professional development, internships, industry certifications, and career readiness, supporting student success from the classroom to the workforce.
  • Participates in departmental, school, and university committees and initiatives. Contributes to curriculum assessment, continuous improvement, accreditation activities, program development, recruitment, and student engagement efforts. Collaborates with faculty to assess learning outcomes and improve instructional effectiveness. Performs other related duties as assigned. Designs and administers assessments aligned to course outcomes using clear criteria/rubrics; provides timely feedback. Holds regular office hours. Advises and mentors students on career paths, skill development, professional preparation, and job-search strategies.

Qualifications / Licenses / Certifications
  • Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business discipline combined with substantial professional experience in data analytics.
  • Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science, analytics consulting, decision support, or a closely related field.
  • Demonstrated expertise in contemporary analytics tools and technologies commonly used in industry.
  • Evidence of maintaining professional currency through industry practice, consulting, professional certifications, continuing education, or leadership in the analytics profession.
  • Demonstrated expertise in data analytics with experience applying analytical methods to support business decision-making, organizational effectiveness, and emerging technologies. Familiarity with business strategy, artificial intelligence, operations, or supply chain contexts is desirable, along with a commitment to industry engagement and student success.

Preferred Qualifications
  • Experience teaching in higher education or delivering professional training.
  • Professional certifications such as Microsoft Power BI Data Analyst Associate, Tableau Certified Professional, AWS Data Analytics, Google Professional Data Analytics, Azure Data Engineer, Databricks, SAS, Snowflake, or similar industry-recognized credentials.
  • Experience developing employer-sponsored projects, internships, or experiential learning opportunities.
  • Strong connections with Utah or regional employers in analytics, technology, finance, healthcare, manufacturing, or related industries.
  • Demonstrated leadership in applied analytics projects, consulting, or professional organizations.
  • Evidence of thought leadership through conference presentations, industry publications, white papers, or invited professional presentations.
  • Knowledge of Canvas a plus, but not required.

Knowledge / Skills / Abilities
Knowledge
  • Subject-matter knowledge of data analytics and current industry practices, tools, regulatory frameworks, and emerging trends.
  • Effective instructional strategies and current trends in higher education.
  • Student engagement, classroom management, and learning evaluation.
  • Curriculum development, measurable outcomes, and assessment alignment.
Skills
  • Proficiency with analytics and visualization tools such as Python, R, SQL, Tableau, Power BI, Excel, and related technologies.
  • Ability to teach and integrate AI-enabled analytics tools responsibly into coursework.
  • Strong classroom instruction, communication, presentation, and facilitation skills.
  • Experience designing applied projects, case studies, and authentic assessments.
  • Strong interpersonal skills with the ability to build relationships with students, faculty, alumni, and industry partners.
  • Effective mentoring and career coaching for students pursuing analytics-related careers.
Abilities
  • Teach effectively in face-to-face, hybrid, livestream, and online environments.
  • Translate complex analytical concepts into practical business applications.
  • Evaluate student learning using fair, consistent, and outcomes-based assessment methods.
  • Collaborate effectively with faculty, staff, and external stakeholders.
  • Maintain professional currency in a rapidly evolving analytics discipline.
  • Foster an inclusive, engaging, and student-centered learning environment

EEO Statement:
UVU employment decisions are made on the basis of an applicant's qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.
Utah Valley University's dedication to exceptional care offers quality service and benefits to employees while staying committed to meeting the needs of a diverse workforce.
UVU is pleased to offer a competitive and comprehensive benefits package that supports employees and their family's overall physical and mental health, protects their income in case of unforeseen illness and life events, and assists in building financial security for retirement and the future.
Highlights from Utah Valley University's benefits package include:
  • Medical network and plan options with low employee premiums
  • Employer HSA contribution for those that elect the university's High-Deductible Health Plan
  • Other tax advantage, reimbursement account options (i.e. Flexible Spending Account & Dependent Care)
  • Dental and vision plan options
  • Incentivized wellness program
  • Employer paid basic life, Accidental Death and Dismemberment (AD&D), and Long Term Disability (LTD) coverage
  • Employee Assistance Program (EAP)
  • 401(a) Defined Contribution Plan with an employer contribution of 14.2% based on employee's compensation (100% vested on first day of full-time employment)
  • Undergraduate tuition remission benefit waiving up to 18 credit hours (each semester) for employees and their eligible dependents (spouses & children dependents unmarried and up to age 26)
  • Generous leave package which includes sick, vacation (staff only), and personal leave; 13 paid holidays; paid medical maternity and parental leave

For more information about the benefits offered, visit
01
Do you meet the required qualifications as outlined: Master's degree from an accredited institution in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Operations Research, or a closely related field; or a master's degree in a related business discipline combined with substantial professional experience in data analytics.Minimum of 10 years of progressively responsible professional experience in data analytics, business intelligence, data science, analytics consulting, decision support, or a closely related field.Demonstrated expertise in contemporary analytics tools and technologies commonly used in industry.Evidence of maintaining professional currency through industry practice, consulting, professional certifications, continuing education, or leadership in the analytics profession.Demonstrated expertise in data analytics with experience applying analytical methods to support business decision-making, organizational effectiveness, and emerging technologies. Familiarity with business strategy, artificial intelligence, operations, or supply chain contexts is desirable, along with a commitment to industry engagement and student success?
  • Yes
  • No

02
What is your highest level of education?
  • High School or equivalent
  • Associates
  • Bachelors
  • Masters
  • Ph.D.
  • Ph.D. (abd)
  • Juris Doctorate

03
How many years of experience do you have in this type of position?
  • <1
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8+

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