Manager, Data Analytics

WGU; Salt Lake City (UT); On-site; USD 117,000 - 210,000; Full time

Job summary

WGU is seeking a Manager of Data Analytics to lead a team of data analysts, delivering insights that support Academic Delivery and School Analytics across the university. You will translate complex questions into actionable analytics, partner with leaders to improve student outcomes, and foster a culture of data-informed decision-making.

You will guide data literacy, KPI development, and governance while driving scalable data products, dashboards, and forecasts in a fast-paced, collaborative

Qualifications

• Bachelor's degree in a related field.
• 5 years in Data Analysis/BI/DS/Statistics or related.
• 1 year of people leadership.
• Experience with OKRs and metrics.
• Strong SQL and data manipulation skills.
• Proficiency with Tableau/Power BI.

Responsibilities

• Lead, coach, and develop a team of data analysts.
• Partner with Academic Delivery, School Analytics to identify analytics needs.
• Translate business requirements into analytical solutions.
• Drive analytics initiatives from planning to execution.
• Develop reports, dashboards, forecasts, and insights.
• Collaborate with Data Engineering to improve data pipelines.
• Communicate findings to drive action and outcomes.

Skills

Advanced SQL

Data visualization

Forecasting methods

Descriptive statistics

OKRs / SMART metrics

Agile methodologies

Cross-functional collaboration

Stakeholder communication

Data manipulation

Problem solving

Education

Bachelor's Degree in a related field

Tools

Tableau

Power BI

Excel

JIRA

Trello

Miro

Lucidchart

Job description

If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.

Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. 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. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.

The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Grade: Management_Executive 609

Pay Range: $116,600.00 - $209,900.00

Job Description

At WGU, data is a powerful tool for understanding student experiences, driving institutional effectiveness, and improving outcomes at scale. As the Manager, Data Analytics, you will lead a team of data analysts responsible for delivering insights that support Academic Delivery and School Analytics stakeholders across the university.

In this role, you will combine people leadership, technical expertise, and strategic thinking to help leaders make informed decisions that enhance student success. You will partner closely with academic and operational leaders to translate complex business questions into actionable analytics, foster a culture of data-informed decision-making, and contribute to WGU's commitment to equity and extraordinary student outcomes.

What You'll Do

• Lead, coach, and develop a team of data analysts while fostering a collaborative, accountable, and high-performing team culture.
• Partner with Academic Delivery, School Analytics, and cross-functional stakeholders to identify analytics needs, define priorities, and translate business requirements into actionable analytical solutions.
• Drive complex analytics initiatives from planning through execution, including project management, stakeholder communication, resource allocation, risk mitigation, and ongoing monitoring.
• Lead the development and delivery of reports, dashboards, forecasts, and analytical insights that support strategic and operational decision-making.
• Collaborate with Data Engineering and technical partners to identify appropriate data sources, improve data pipelines, and support the development of scalable data products.
• Use data visualization, storytelling, and analytical rigor to communicate findings and recommendations that drive action and improve outcomes.
• Support data literacy, KPI development, operational excellence, and responsible data governance across the university.

What You'll Bring

• Bachelor's Degree in a related field.
• 5 years of experience in a Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Computer Science, Marketing Analytics, Mathematics, or a related domain.
• 1 year of experience in people leadership.
• Ability to create healthy work environments conducive to collaboration, learning, accountability, and high performance, including experience with hiring, onboarding, coaching, performance management, and succession planning.
• Experience defining team and individual objectives utilizing OKRs, SMART metrics, and similar frameworks.
• Demonstrated proficiency handling diverse data sources and advanced data manipulation techniques, including experience measuring, collecting, analyzing, and reporting data to optimize student outcomes.
• Advanced SQL proficiency, including joins, aggregations, window functions, common table expressions (CTEs), views, data modification statements, and performance tuning.
• Experience with Tableau, Power BI, or similar data visualization platforms.
• Experience applying forecasting methods, descriptive statistics, experimentation, hypothesis testing, and diagnostic analytics to solve complex business problems.
• Experience using Agile project management methodologies and tools such as JIRA, Trello, or similar platforms.
• Advanced proficiency in Microsoft Office, including Excel.
• Experience using diagramming and collaboration tools such as Miro, Lucidchart, or similar applications.
• Ability to operate with a high degree of autonomy, reliability, initiative, and accountability while managing multiple priorities effectively.
• Demonstrated commitment to continuous learning, professional development, innovation, and growth.

Bonus Points

Famil