Data Analyst, LE Analytics & Impact

Arizona State University • Tempe, AZ

1d • $65,000 - $73,000 • Onsite

About The Position

Learning Enterprise (LE) is a rapidly growing enterprise within ASU working to re-imagine the role of universities to serve learners at every stage of life. Learning Enterprise is a data-driven organization, using data and observed evidence for key decision making and strategy. Analytics & Impact is a critical central team dedicated to delivering actionable insights, empowering all Learning Enterprise staff to make informed decisions that ensure every learner has access to opportunity. We are looking for a creative, driven, and articulate data analyst to join us in advancing LE’s mission. Reporting to the Sr. Data Analyst, this role is ideal for someone who likes developing robust data tools and pipelines, maintaining the quality of and analyzing intricate data sets and generating actionable insights to improve program outcomes and learner achievements and measure LE’s impact. You are: A data expert with the curiosity to develop deep business knowledge, driving a data-centric approach. A collaborative partner, building strong relationships and aligning solutions with team goals. An enthusiastic communicator, bridging technical and non-technical audiences to deliver data-driven recommendations to enhance programs, boost learner success, and improve operational efficiency. All applicants must be eligible to work in the United States. ASU will not sponsor this position. This position is not temporary in nature and therefore will not support H1-B, J1, F1, or OPT. This role is based at ASU’s Tempe campus. All applicants must be eligible to work in the United States. A Fingerprint background check is a mandatory step in the hiring process.

Requirements

• Bachelor's degree and three (3) years of experience appropriate to the area of assignment/field; OR, Any equivalent combination of experience and/or training from which comparable knowledge, skills and abilities have been achieved.

Nice To Haves

• Expert in data analysis and visualization using tools like SQL, Python, R, and Alteryx.
• Skilled in building data pipelines with tools such as Alteryx, Python, and R.
• Proficient in developing data infrastructure with BigQuery, Redshift, and Google Analytics for KPI tracking.
• Master in creating actionable dashboards with tools like Tableau, Power BI, and Looker
• Adept at defining and measuring KPIs to assess both quantitative and qualitative performance.
• Strong communicator capable of translating business needs into clear, actionable insights.
• Lifelong learner who is interested in learning new concepts and skills as per organizational needs
• Individual problem solver capable of working individually and in team environments
• Consistently meet deadlines, demonstrate strong attention to detail and organizational skills

Responsibilities

• Data Infrastructure: Develop a strong understanding of LE’s data infrastructure and diverse sources and identify areas for improvement in quality and usability. Collaborate with the Product team to ensure data repositories are accurate, accessible, and up-to-date. With supervision, lead automation efforts in data engineering and analysis pipelines. Define and enforce data validation, integrity, and security for Learning Enterprise as the organization scales and in compliance with university standards. Collaborate with ASU teams on university-wide projects to advance data interoperability for learner-student-learner transitions.
• Data Reporting & Analysis: Provide regular and ad-hoc reports for enrollment, course performance, financials, and other metrics. Streamline and automate frequent reporting requests to improve efficiency. Collaborate across teams to support data-driven decision-making with reports, dashboards, and insights.
• Research & Innovation: Participate in brainstorming sessions for new data initiatives and establish quantifiable KPIs, as well as the necessary means to collect, report and analyze those KPIs. Conduct feasibility analyses for proof-of-concept projects. Develop and apply statistical models to predict outcomes and highlight intervention opportunities.
• Process Optimization & Data Literacy: Optimize data processes across the enterprise and coordinate with ASU departments. Conduct data literacy sessions, create documentation, and engage stakeholders in best practices and tools. Represent A&I team at ASU by regularly showcasing at various university events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level