Data Analyst – Data Products II

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement intricate diagnostic and trend analyses across various systems and data sources

• Take ownership of dashboard and report development for designated data products, including managing release cycles and documentation

• Collaborate with data engineers to develop analytical logic and data models

• Spearhead proof-of-concept initiatives to evaluate analytical methodologies, tools, and platforms

• Recognize and execute opportunities for process improvement and automation

• Facilitate stakeholder interviews and sessions for gathering requirements

• Convert business needs into data specifications, user stories, and acceptance criteria

• Manage backlog refinement and prioritize features

• Document workflows, decision logic, and designs for future processes

• Coordinate with the Data Product Lead and data engineers to sequence and deliver analytical capabilities

• Establish and enforce data quality rules

• Maintain data dictionaries, metadata standards, and lineage documentation

• Plan and conduct QA and UAT, ensuring analytical outputs are validated before release

• Contribute to and uphold enterprise data governance and stewardship practices

• Mentor and guide Data Analyst I personnel

• Provide training to business users on data products and data literacy

• Create presentations for leadership and written reports that communicate insights driving decisions

• Engage in agile ceremonies, including sprint planning and retrospectives

⛳️ Requirements

• Bachelor's degree

• 4 years of relevant experience

• Proficient in SQL

• Knowledgeable in Python or R

• Experienced in conducting diagnostic and trend analyses across multiple systems and data sources

• Skilled in developing dashboards, reports, analytical logic, and data models

• Familiar with data quality rules, data dictionaries, metadata standards, and lineage documentation

• Experienced in planning and executing QA and UAT

• Understanding of enterprise data governance and stewardship practices

• Capable of leading stakeholder interviews and gathering requirements

• Proficient in creating data specifications, user stories, and acceptance criteria

• Skilled in conducting backlog refinement and prioritizing features

• Capable of delivering training on data products and data literacy

• Able to participate in agile ceremonies, sprint planning, and retrospectives

• No specific certification or professional license is mandatory

• A driver's license is not necessary

🏝️ Benefits

• Up to 22 days of vacation

• 10 recognized holidays

• Sick time

• Competitive health insurance plans that include priority appointments and reduced copays/coinsurance

• Complimentary Metro transit U-Pass for eligible employees

• Defined contribution 403(b) Retirement Savings Plan, with contributions from both employees and the university 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 their families, including up to 100% of dependent undergraduate-level college tuition at WashU and 40% elsewhere after seven years