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:

TEAM
Enterprise Analytics is focused on helping the Vanderbilt University Medical Center (VUMC) enterprise solve its most complex problems. We recruit team members with strong analytical and communication skills and diligently invest in their growth, learning, and development.

We partner with VUMC leadership to help answer their most pressing questions. We create replicable and reliable analyses, using up-to-date tools and methods and analytics best practices, to help define the “source of truth” for metrics in collaboration with teams across VUMC We approach each project with the end in mind, work with business partners to thoughtfully frame the problem, agree on ideal outcomes, and use the data to provide actionable, high-quality, meaningful information.

JOB SUMMARY
Working under occasional guidance in the Department of Enterprise Analytics, the Enterprise Data & Analytics Consultant (EDAC) is responsible for all aspects of analytics to meet the needs of our partners. The EDAC provides a single point of contact for our partners in defining scope and objectives and follows the analytics problem-solving methodology. The EDAC develops work plans to ensure analytics are completed accurately and on time and gathers and integrates appropriate data, conducts analyses, chooses appropriate output/visualization, and communicates findings effectively. The EDAC follows data stewardship and data governance practices to ensure all data assets are of the highest quality and maintains appropriate documentation.

Note: This role is eligible for remote work within the United States.

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KEY RESPONSIBILITIES:

As a member of the Enterprise Analytics team, the EDAC:

• 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
Below are the expectations of an ideal / fully functioning EDAC. We understand that many new EDACs may not initially possess all these skills and may need additional training in certain areas, especially technical areas.

• 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