Senior Data Analyst - Curriculum Analytics
Senior Data Analyst - Curriculum Analytics
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
$ 88300 - 132400
1 Vacancy
Job Description
If youre passionate about building a better future for individuals communities and our countryand youre committed to working hard to play your part in building that futureconsider 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.
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:
Job Description
The Institutional Analytics and Research (IAR) team supports and enables most university teams departments and colleges to make data-informed decisions that lead to better student outcomes. Our analysts scientists researchers and managers are distributed across several teams: Faculty Analytics Institutional Research Curriculum Analytics Outreach Analytics and Student Success Analytics.
Curriculum Analytics uses WGUs rich data assets to create course-level insights and student recommendations. We design and monitor course performance metrics support the development of effective courses and programs and create personalized guidance. Our work reflects a strong sense of purpose and a drive to innovate to help every student succeed.
The Senior Data Analyst is responsible for extracting processing analyzing and reporting on data to produce rigorous actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR Data Engineering Product Management Finance EdTech and Faculty staff. They perform ad hoc analyses build standard reports and data visualizations and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action.
Essential Functions and Responsibilities:
- Drives the documentation of data and analytics needs in projects of high complexity with a student and equity-centered lens collaborating with peers cross-functional partners faculty staff and leaders. Translates of user stories into technical requirements.
- Sets and manages expectations about analytics tasks and activities through clear timely and effective communication with partners and stakeholders.
- Answers complex business questions requiring extensive knowledge of the universitys data assets across several domains and departments.
- Identifies adequate data sources and data sets to evaluate hypotheses build forecasts and support findings of research projects and experiments.
- Collaborates with Data Engineering in the development of complex ETL/ELT processes and data pipelines.
- Identifies investigates and solves complex data issues contributing to the accuracy completeness consistency timeliness and validity of the universitys data.
- Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
- Combines data analysis visualization and narrative structures to convey information in compelling ways that instigate deliberate action.
- Utilizes software scripts and algorithms to perform data-related tasks (e.g. importing cleaning transforming analyzing displaying) without human intervention.
- Conveys information effectively to peers partners and senior leaders using a variety of resources and formats (synchronous and asynchronous verbal and written) such as e-mails presentations meetings and workshops.
- Creates and organizes information about processes projects operations data assets and insights from analyses and research making it accessible in ways that increase the universitys knowledge and efficiency.
- Writes and interprets technical documentation (e.g. Entity-Relationship Conceptual Logical and Physical data models).
- Contributes actively to the development of the universitys data management platforms (e.g. data dictionaries catalogs etc.).
- Supports and accelerates other team members development through constructive feedback and sharing of technical and institutional knowledge.
- Drives tasks activities and small-scale projects with high levels of autonomy confidence and collaboration with peers and partners.
- Tracks and reports own progress dependencies and challenges diligently. Breaks down complex goals into concrete tasks and activities.
- Works actively to improve own skills and knowledge through internal and external formal and informal structured and unstructured learning. Is a lifelong learner and embodies a growth mindset. Stays abreast of innovative developments in their area of work and plays an active role in deploying them at the university.
- Understands and abides by the relevant policies and methods to access use transform store and delete data in responsible secure and compliant ways.
- Collaborates effectively with other technical specialists (e.g. data engineers) in the construction of data products systems and applications.
- Performs other job-related duties as assigned.
Experience and Qualifications:
- Bachelors degree in a related discipline
- 5 years of related experience in Data Analysis Business Intelligence Data Science Statistics Decision Intelligence Research Learning Science or Behavioral/Cognitive Psychology.
Work Location:
- This position is in-office in Salt Lake City UT.
#LI-FP1
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time regular position (classified for 40 standard weekly hours) 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.How to Apply: If interested an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. Its not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
Required Experience:
Senior IC
Employment Type
Full-Time
