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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:
Grade: Technical 405
Pay Range: $87200.00 - $130800.00
Job Description
The Digital Analytics Engineer (DAE) II supports the comprehensive design development implementation and successful execution of digital behavioral analytics processes and data collection systems. As they advance their engineering career DAEs are assigned increasing responsibilities in administrating one or more processes or systems in the analytics architectural ecosystem overseeing business requirement discovery and development interacting with systems and data architectures and mentoring other DAEs.
The DAE II role requires increasing mastery of each phase of process/system development and a strong working knowledge of the fundamental education technology and IT systems used to analyze an end-to-end student journey. DAE IIs establish and maintain strong relationships with peers and leaders across IAR Data Engineering Product Management EdTech and assigned departments (e.g. Marketing Enrollment and Regional Operations). As technical solution engineers DAE IIs participate in cross-functional initiatives projects and programs providing technical guidance and building analytics solutions designed to increase student engagement success and outcomes.
Job Duties
- Documents 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 user stories into technical requirements.
- Designs medium-scale solutions and collaborates effectively with other technical specialists (e.g. data engineers) in the construction of data products systems and applications.
- Designs tests deploys monitors and maintains the primary analytics codebase for digital experiences.
- Sets and manages expectations about analytics tasks and activities through clear timely and effective communication with partners and stakeholders.
- 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.
- Supports and accelerates other team members development through constructive feedback and sharing of technical and institutional knowledge.
- 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 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 enrichment of the universitys data management platforms (e.g. data dictionaries catalogs etc.).
- 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 in improving 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 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. Identifies data security risks when dealing with concrete data sets and takes adequate mitigation actions.
- Performs other job-related duties as assigned.
KSAs
- Knowledge and experience in best practice management of source code changes over time
- Ability to read parse update and maintain Business Requirements Documentation in the context of analytics architecture
- Ability to read parse update and maintain Solution Design Reference (SDR) documents in the context of analytics architecture
- Ability to read pars update and maintain technical specification documents in the context of analytics architecture
- Experienced in the use and administration of Tag Management Solution platforms and in the deployment of conditional rulesets logical naming conventions and organization of data elements
- Experienced in HTML CSS and DOM analysis and manipulation primarily via JavaScript (as well as mobile app platforms). Expertise in development of analytics code according to Technical Specifications.
- Expertise in designing and implementing analytics-oriented data layers across digital experiences using standardized frameworks (e.g. JSON Adobe Client Data Layer XDM).
- Experienced in the development of page and journey audits to validate architecture using Quality Assurance systems (e.g. ObservePoint Selenium Browser Console testing).
- Experienced in the implementation of related Outreach and Marketing technology tags and connectors within the Tag Management Solution (TMS) or Customer Data Platform (CDP).
- Ability to interpret and design models that describe how data relates to one another and to the properties of the real-world entities they represent
- Experienced with the tools (e.g. Postman) architectures (e.g. REST) and protocols (e.g. HTTP) to access integrate and disseminate analytics data hosted across a variety of sources.
- Comfortable with common project management technologies (e.g. JIRA) methodologies (e.g. Agile) and frameworks (e.g. Scrum).
- Proficient in the MS Office suite including advanced Excel knowledge
- Proficient in flowchart and diagramming tools like Miro Visio Lucidchart and similar applications
- Ability to apply sound judgment systems thinking and analytical skills to assess risks perform root-cause analyses make recommendations and drive decisions that contribute to the achievement of the universitys objectives.
- Ability to perform with the highest levels of autonomy reliability self-direction and with a bias for action. Manages conflicting and concurrent activities independently.
- Experienced in the measurement collection analysis and reporting of data to understand and optimize web usage through methods and tools like A/B testing data scraping Adobe Analytics etc.
Minimum Qualifications
- Bachelors Degree in a related field
- 5 years of related experience in Information Systems Computer Science Computer/network Engineering Business Intelligence or a related domain
- 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 the discretion of the hiring manager.
Job Description Disclaimer: This position description provides the major duties/responsibilities requirements and working conditions for the position. It is intended to be an accurate reflection of the current position however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.
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.