Enterprise Data & Analytics Consultant

Discover Vanderbilt University Medical Center : Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged.

Vanderbilt

Health is committed to an environment where everyone has the chance to thrive and where your uniqueness is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research.

Organization: Enterprise Analytics

Job Summary: Working under occasional guidance in the Department of Enterprise Analytics, responsible for all aspects of analytics to meet the needs of our partners. Provides a single point of contact for our partners in defining scope and objectives.

Follows the analytics problem-solving methodology. Develops work plans to ensure analytics are completed accurately and on time. Gathers and integrates appropriate data, conducts analyses, chooses appropriate output/visualization, and communicates findings effectively.

Follows data stewardship and data governance practices to ensure all data assets are of the highest quality. Adheres to the highest quality standards and maintains appropriate documentation.

Key Responsibilities

• Defines the appropriate problem, identifies the data needed to solve the problem, gathers and transforms the data into the appropriate form.
• Develops high quality analyses and visualizations and communicates the results and recommendations clearly and competently to our partners.
• Ensures timely completion of all analytics projects and builds trusting relationships with partners and stakeholders.
• Maintains appropriate documentation (e.g., processes, analytics design, measure definitions, data integration).
• Follows best practices of data stewardship/data governance including managing metadata and consistently performing quality assurance to ensure accuracy throughout the process.
• Follows best practice guidelines set by Enterprise Analytics for each of the 6 technical capabilities.
• The responsibilities listed are a general overview of the position and additional duties may be assigned.

Technical Capabilities

• Stakeholder Engagement (Novice): Builds trusting relationships with stakeholders. Understands all aspects of our partner’s business including operational workflows, performance measures, and working relationships. Proactively keeps partners informed of progress on projects. Takes leadership role on analytics projects. Good team player and shows initiative.
• Data Acquisition (Novice): Successfully determines data needs based on the problem being solved and identifies appropriate source systems. Writes code that is effective, efficient, and readable with appropriate comments for others to be able to follow. Transforms and structures data accurately. Applies quality assurance (QA) practices and methods. Continues to learn and innovate with new tools and methods, and shares knowledge back with the team.
• Data Analysis (Intermediate): Accurately analyzes data to effectively answer our partners’ questions. Adopts new tools, and methods, and uses creativity to produce the desired output. Takes full ownership of the quality of analysis and applies quality assurance (QA) practices and methods.
• Data Stewardship and Governance (Intermediate): Understands data stewardship and governance concepts and implements current practices. Understands downstream impacts of changes to data sources, develops and maintains complete metadata for all data assets, tables, and fields. Establishes and maintains data sources of truth and key performance indicators (KPIs). Works with analytics consumers to improve ability to understand KPIs and improve the use and quality of data at the organization.
• Communication (Novice): Communicates findings and recommendations in a concise, logical, and easy-to-follow manner. Engages the audience, makes effective use of questions, and practices active listening techniques. Presents written information using a professional writing style and maintains a good balance between detail and synthesis. Adapts communication and presentation delivery to the audience. Leads effective meetings by ensuring appropriate communication before, during, and after all meetings. Selects the right visualization based on the audience and type of question asked and tells stories with data in compelling ways.
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