Senior Product Data Analyst, EdTech (wgu)

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.

Western Governors University is hiring a Senior Product Data Analyst, Education Technology to join our team onsite in Salt Lake City, Utah.

Primary Responsibilities:

• Manages metrics and data to create reports and presentations about product and business data findings using charts, graphs, tables, and other visuals to represent data in a way stakeholders can easily understand.
• Is a subject matter expert on key metrics and user data and can craft strong strategic product recommendations.
• Performs analysis to assess the quality and meaning of data to state trends, patterns, and predictions related to user behavior, product usage, and market trends.
• Collaborates with product teams to identify key performance indicators (KPIs) and build metrics that measure the impact of new products on customers.
• Develops measurement plans and interactive dashboards that create business insights through product data.
• Design and oversee A/B tests to measure the impact of new features and improvements.
• Executes large strategic and high-profile initiatives, creating holistic work across product portfolios and not just individual projects.
• Acts as a coach/mentor within their team and in the Product Org and should be widely recognized as a go-to person for data-related inquiries and storytelling.
• Monitors product health and product performance over their lifecycle and across the learner journey.
• Gathers and analyzes learner feedback through surveys or polls using Pendo.
• Develops and oversees small to medium-scale product analytics projects.

Qualifications:

Knowledge, Skills, and Abilities:

• Strong SQL skills and ability to perform effective querying involving multiple tables and subqueries.
• Strong problem-solving, quantitative, and analytical abilities.
• Experience with business and product usage analytics.
• Able to glean insights from data and craft a compelling story in presentation form.
• Comfortable working across functions and teams to gather data.
• Understand customer personas, market segments, and cohorts.
• The ability to think strategically and understand how data helps with problem-solving.
• Creative, good-natured, and passionate about data and its support/guidance for the WGU mission.
• Ability to manage and report data on several products and initiatives simultaneously.
• Strong organizational skills with a high attention to detail.
• Excellent oral and written communication skills.
• Experience performing cohort analysis, A/B testing, retention analysis, heat mapping, funnel analysis, session replay, and user survey.
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations.
• Ability to learn new applications and platforms as needed.
• Experience working with cross-functional teams, including Product, Engineering, and Design teams, and making technical decisions related to A/B testing, project prioritization, development, and monitoring.

Education:

• Bachelor's degree in a related discipline

Experience:

• 6 years of related experience
• Minimum of 4 years of product analytics experience
• Minimum of 2 years of experience with Databricks, SQL, or other Lakehouse Platforms and querying languages
• Experience with ThoughtSpot, Tableau, Power BI, or other visualization tools
• Experience with web and mobile analytics tools like Pendo, Adobe Analytics, Google Analytics, Amplitude, etc.
• Proficient in Microsoft Excel and PowerPoint

Preferred Qualifications:

• Proficiency in additional languages like Python or R
• Product Management Experience
• Product Analytics Certification or Analytics Degree

To explore more about our company and what makes working here special, visit our website at https://www.wgu.edu/about.html. To view current career opportunities and apply, please visit https://www.wgu.edu/about/careers.html.

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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.

At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
 

How to apply: apply online

Full-time Regular Positions (FT classification, standard working hours = 40)

This is a full-time, regular position that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.

The University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.