Edtech.com's Summary

WGU Academy is hiring a Senior Data Analyst. The role involves leading data extraction, processing, analysis, and reporting to deliver actionable insights and research that influence strategic decisions. The analyst collaborates with various teams, manages complex data projects, and communicates findings effectively to executive stakeholders.

Highlights

Lead documentation and fulfillment of complex analytics needs with a focus on students and equity.
Manage expectations and communications with partners and stakeholders on analytics tasks.
Provide insights by answering complex business questions using cross-domain university data.
Collaborate with Data Engineering to develop ETL/ELT processes and data pipelines.
Identify and resolve data quality issues ensuring accuracy, consistency, and timeliness.
Create compelling data visualizations using Tableau and Power BI to highlight trends and patterns.
Write and interpret technical documentation including data models (Entity-Relationship, Conceptual, Logical, Physical).
Possess advanced SQL skills including query writing, data modification, views, and performance tuning.
Experienced with project management frameworks like Waterfall, Agile, and SDLC.
Compensation ranges from $88,300 to $132,400 with eligibility for bonuses and a comprehensive benefits package.

Senior Data Analyst-WGU Academy Full 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.

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:

Grade: Professional 310Pay Range: $88,300.00 - $132,400.00

Job Description

As a Senior IAR Data Analyst, you'll play a pivotal role in extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. This role will be a leader of the team and interact often with executive-level stakeholders, driving impactful decisions and strategies.

What You'll Do

Drive 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.
Set and manage expectations about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.
Answer complex business questions requiring extensive knowledge of the university's data assets across several domains and departments.
Identify adequate data sources and data sets to evaluate hypotheses, build forecasts, and support findings of research projects and experiments.
Collaborate with Data Engineering in the development of complex ETL/ELT processes and data pipelines.
Identify, investigate, and solve complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university's data.
Collaborate with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
Combine data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
Utilize software, scripts, and algorithms to perform data-related tasks (e.g., importing, cleaning, transforming, analyzing, displaying) without human intervention.
Convey 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.
Create and organize information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university's knowledge and efficiency.
Write and interpret technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models).
Contribute actively to the development of the university's data management platforms (e.g., data dictionaries, catalogs, etc.).
Support and accelerate other team members' development through constructive feedback and sharing of technical and institutional knowledge.
Drive tasks, activities, and small-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
Track and report own progress, dependencies, and challenges diligently. Break down complex goals into concrete tasks and activities.
Work actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Be a lifelong learner and embody a growth mindset. Stay abreast of innovative developments in their area of work and play an active role in deploying them at the university.
Understand and abide by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.
Collaborate effectively with other technical specialists (e.g., data engineers) in the construction of data products, systems, and applications.
Perform other job-related duties as assigned.

What You'll Bring

Advanced SQL proficiency, with experience writing queries and subqueries, modifying data (INSERT, UPDATE, DELETE), creating views, and knowledge of different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning.
Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers.
Ability to interpret and design models that describe how data relate to one another, and to the properties of the real-world entities they represent. Understands conceptual and logical data modeling, and has experience with dimensional models, star schema, and snowflake schema.
Experienced with descriptive statistics, causal analysis, and inference.
Comfortable with common project management methodologies and frameworks (e.g., Waterfall, Agile, SDLC).
Proficient in MS Office suite, including advanced Excel knowledge.
Proficient in flowchart and diagramming tools like Miro, Visio, Lucidchart, and similar applications.
Familiarized with the university's most relevant KPIs, the drivers that affect them, and plays an active role in their definition and tracking.
Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university's objectives.
Ability to perform with a very high level of autonomy, reliability, self-direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need for supervision.

Bonus Points if You Have

Familiarity with the university's most relevant KPIs, the drivers that affect them, and play an active role in their definition and tracking.
Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university's objectives.
Ability to perform with very high levels of autonomy, reliability, self-direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need for supervision.

Experience in lieu of education
Equivalent relevant experience performing the essential functions of this job may substitute for education degree requirements. Generally, equivalent relevant experience is defined as 1 year of experience for 1 year of education and is at the discretion of the hiring manager.

What to Expect
At WGU, our mission drives everything we do—including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations, practical problem-solving, and authentic collaboration.

We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission. If selected, you'll hear from a recruiter or hiring manager who will guide you through the process and help you know what to expect at each stage. We aim to communicate decisions promptly and respectfully.

Here's what that typically looks like:

Introductory call (~30 minutes): We'll walk you through who we are at WGU and learn about your relevant experience.
Technical interview (~1 hour): Dive deeper into your technical skills and experience with our team.

Work Location
This is a full-time, in-office position at WGU's office in Salt Lake City, Utah.

We're looking forward to getting to know you and seeing how you think, collaborate, and build. Welcome to WGU.

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. It's 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 recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

Original Job Description

Job Description

What You'll Do

Drive 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.
Set and manage expectations about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.
Answer complex business questions requiring extensive knowledge of the university's data assets across several domains and departments.
Identify adequate data sources and data sets to evaluate hypotheses, build forecasts, and support findings of research projects and experiments.
Collaborate with Data Engineering in the development of complex ETL/ELT processes and data pipelines.
Identify, investigate, and solve complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university's data.
Collaborate with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
Combine data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
Utilize software, scripts, and algorithms to perform data-related tasks (e.g., importing, cleaning, transforming, analyzing, displaying) without human intervention.
Convey 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.
Create and organize information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university's knowledge and efficiency.
Write and interpret technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models).
Contribute actively to the development of the university's data management platforms (e.g., data dictionaries, catalogs, etc.).
Support and accelerate other team members' development through constructive feedback and sharing of technical and institutional knowledge.
Drive tasks, activities, and small-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
Track and report own progress, dependencies, and challenges diligently. Break down complex goals into concrete tasks and activities.
Work actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning. Be a lifelong learner and embody a growth mindset. Stay abreast of innovative developments in their area of work and play an active role in deploying them at the university.
Understand and abide by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.
Collaborate effectively with other technical specialists (e.g., data engineers) in the construction of data products, systems, and applications.
Perform other job-related duties as assigned.

What You'll Bring

Advanced SQL proficiency, with experience writing queries and subqueries, modifying data (INSERT, UPDATE, DELETE), creating views, and knowledge of different join types, filtering, sorting, aggregation, window functions, common table expressions (CTE), and performance tuning.
Highly proficient and experienced in using tools like Tableau and Power BI to present data and information utilizing charts, graphs, and maps, in ways that make it easy to understand trends, patterns, and outliers.
Ability to interpret and design models that describe how data relate to one another, and to the properties of the real-world entities they represent. Understands conceptual and logical data modeling, and has experience with dimensional models, star schema, and snowflake schema.
Experienced with descriptive statistics, causal analysis, and inference.
Comfortable with common project management methodologies and frameworks (e.g., Waterfall, Agile, SDLC).
Proficient in MS Office suite, including advanced Excel knowledge.
Proficient in flowchart and diagramming tools like Miro, Visio, Lucidchart, and similar applications.
Familiarized with the university's most relevant KPIs, the drivers that affect them, and plays an active role in their definition and tracking.
Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university's objectives.
Ability to perform with a very high level of autonomy, reliability, self-direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need for supervision.

Bonus Points if You Have

Familiarity with the university's most relevant KPIs, the drivers that affect them, and play an active role in their definition and tracking.
Ability to apply sound judgment, systems-thinking, and analytical skills to assess risks, perform root-cause analyses, make recommendations, and drive cross-functional decisions that contribute to the achievement of the university's objectives.
Ability to perform with very high levels of autonomy, reliability, self-direction, and with a bias for action. Manages conflicting and concurrent activities with minimal need for supervision.

Here's what that typically looks like:

Introductory call (~30 minutes): We'll walk you through who we are at WGU and learn about your relevant experience.
Technical interview (~1 hour): Dive deeper into your technical skills and experience with our team.

Work Location
This is a full-time, in-office position at WGU's office in Salt Lake City, Utah.

We're looking forward to getting to know you and seeing how you think, collaborate, and build. Welcome to WGU.

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. It's 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 recruiting@wgu.edu.

Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.

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Senior Data Analyst-WGU Academy

Edtech.com's Summary

Senior Data Analyst-WGU Academy Full Description

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