Senior Data Analyst

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:
 

Pay Range: $73,000.00 - $109,400.00

Job Description

The Senior Data Analyst develops data architecture and other data pathways and uses complex reporting systems that will enable leadership to make informed business decisions. Utilizes data analytics tools to design new measurement methods. This role interacts with leaders and data analysts across the organization to continuously analyze and improve performance and student outcomes. This includes a deep analysis of learner profiles, student learning patterns, academic and career outcomes, and course and learning resource quality.

Essential Functions and Responsibilities:

• Build, develop, and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions. 
• Utilize strong analytical and product management skills to gain a thorough understanding of department technology needs and translate these into specific initiatives and short- and long-range plans.
• Analyzes and interprets diverse sets using a variety of statistical methods.
• Uses various data analytics tools to clean, manipulate, and transform data for analysis.
• Reports, explains, and presents statistical analyses using graphs, charts, and tables.
• Uses understanding of data collection to design and implement new methods of measurement.
• Stays informed of emerging trends in data science. Clearly communicates with users to assess needs and requirements for data products.
• Designs and maintains visualization dashboards.
• Pitches value of potential data products using functioning proofs-of-concept.
• Works across academic colleges and programs to provide valuable data-informed insights on trends of performance metrics.
• Performs other related duties as assigned.

Knowledge, Skill and Abilities:

• Strong written, oral, presentation, and interpersonal skills, including the ability to explain the significance of data and trends to stakeholders.
• Ability to manage tasks independently while working in a team environment.
• Ability to use SAS, R, or Python to run multivariate and other statistical analyses.
• Ability to create data dashboards and visuals using a tool like Tableau.
• Abili