Data Analyst – Data Products II

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WashU IT

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📚 Education

🏢 Enterprise

☁️ SaaS

Education • Enterprise • SaaS

WashU IT is the information technology department of Washington University in St. Louis, providing essential IT services and support for the university's students, faculty, and staff. The department is integral to facilitating the university’s academic, research, and administrative functions, ensuring that technological resources and solutions are efficiently delivered and maintained across the university’s campuses. WashU IT also plays a crucial role in helping the university confront complex technological challenges and enhance its operational capabilities.

📋 Description

• Design and execute complex diagnostic and trend analyses across multiple systems and data sources • Own dashboard and report development for assigned data products, including release cycles and documentation • Develop analytical logic and data models with data engineers • Lead proof-of-concept work evaluating analytical approaches, tools, and platforms • Identify and implement process improvement and automation opportunities • Lead stakeholder interviews and requirements-gathering sessions • Translate business needs into data specifications, user stories, and acceptance criteria • Own backlog refinement and feature prioritization • Document workflows, decision logic, and future-state process designs • Sequence and deliver analytical capabilities with the Data Product Lead and data engineers • Define and implement data quality rules • Maintain data dictionaries, metadata standards, and lineage documentation • Plan and execute QA and UAT; validate analytical outputs before release • Contribute to and enforce enterprise data governance and stewardship practices • Mentor and guide Data Analyst I staff • Deliver business-user training on data products and data literacy • Prepare leadership presentations and written reports communicating decision-driving insights • Participate in agile ceremonies, sprint planning, and retrospectives

🎯 Requirements

• Bachelor's degree • 4 years of relevant experience • Strong SQL proficiency • Proficiency in Python or R • Experience with diagnostic and trend analyses across multiple systems and data sources • Experience developing dashboards, reports, analytical logic, and data models • Experience with data quality rules, data dictionaries, metadata standards, and lineage documentation • Experience planning and executing QA and UAT • Knowledge of enterprise data governance and stewardship practices • Ability to lead stakeholder interviews and requirements-gathering sessions • Ability to create data specifications, user stories, and acceptance criteria • Ability to conduct backlog refinement and feature prioritization • Ability to deliver data-product and data-literacy training • Ability to participate in agile ceremonies, sprint planning, and retrospectives • No specific certification/professional license is required • A driver's license is not required

🏖️ Benefits

• Up to 22 days of vacation • 10 recognized holidays • Sick time • Competitive health insurance packages with priority appointments and lower copays/coinsurance • Free Metro transit U-Pass for eligible employees • Defined contribution 403(b) Retirement Savings Plan, with employee and university contributions starting at 7% • Wellness challenges • Annual health screenings • Mental health resources • Mindfulness programs and courses • Employee assistance program (EAP) • Financial resources • Access to dietitians • 4 weeks of caregiver leave to bond with a new child • Family care resources for childcare needs • Adult care support • Tuition coverage for employees and families, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years