Lead Data Analyst - Craft Education

WGU; Nashville (TN); On-site; USD 91,000 - 136,000; Full time

Job summary

The Lead Data Analyst for Craft Education in Nashville is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights. 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 data storytelling and media that enable

Qualifications

• Extract, process, analyze, and report on data to produce rigorous, actionable insights.
• Develop ad hoc analyses and standard reports to inform decision-making.
• Translate business questions into data-driven requirements and outputs.
• Create compelling data visualizations to support leadership discussions.

Responsibilities

• Drives the documentation of data, analytics, and research needs with a student-centered lens.
• Leads the translation of user stories into technical requirements.
• Establishes trust and builds relationships with cross-functional partners and senior stakeholders.
• Answers complex business questions using the university's data assets across several domains.
• Identifies, evaluates, and sources data to test hypotheses and generate forecasts.
• Collaborates with Data Engineering on ETL/ELT processes and data pipelines.
• Contributes to data management standards to improve quality and accessibility.

Skills

Data analysis

Data storytelling

Data visualization

Cross-functional collaboration

Stakeholder management

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 Craft Education as the next step in your career.

Craft Education is on a mission to solve skilled labor shortages by powering work-based learning pathways for all.

At Craft, we're revolutionizing the apprenticeship degree, combining on-the-job learning with accredited instruction to create innovative educational pathways that accommodate working professionals and meet employer needs. Our flagship product - Craft Connect - helps organizations administer apprentice degree programs and address mission-critical data and reporting needs. Through the same platform, Craft is also transforming how on-the-job learning converts into academic credits.

Our team of technology, education and workforce professionals also provides technical assistance to organizations looking to launch and manage apprenticeship degree programs. We are working tirelessly to accelerate the expansion of these programs along with the data infrastructure that underpins them.

If you're looking to join the work-based learning revolution, we'd love to talk with you. At Craft, you'll have the opportunity to solve hard problems in a high-growth startup environment and make a lasting impact on the future of education and workforce development. We couldn't be more excited to advance this work as a team of innovative, collaborative and mission-oriented professionals - we hope you'll consider joining us.

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 310

Pay Range: $91,000.00 - $136,400.00

Job Description

The Lead Data Analyst for Craft (https://www.crafteducation.com/) 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.

• This position will be expected to work in the Craft office located in Downtown Nashville..

Primary Responsibilities

• Drives the documentation of data, analytics, and research needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders.
• Leads the translation of user stories into technical requirements.
• Establishes trust and builds strong relationships with cross-functional partners and senior stakeholders.
• Answers complex business questions requiring extensive knowledge of the university's data assets across several domains and departments.
• Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts.
• 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 university's 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.
• Participates in the definition of data visualization standards and best practices and promotes their adoption across the university.
• 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 university's 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 university's data management platforms (e.g., data dictionaries, catalogs, etc.).
• Plays a prominent role in other team members' development through constructive feedback and sharing of technical and institutional knowledge.