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About the Role

The Senior Data Analytics Engineer is a key contributor within Vanderbilt University's Office of Data & Strategic Analytics (DSA), responsible for delivering high-quality data solutions. This role involves complex technical and analytical work across the data and business intelligence lifecycle, ensuring data uniformity, accuracy, and consistency through effective data management, security, stewardship, and governance. The position partners with other teams, leverages BI tools, defines data requirements, designs data models, builds dashboards, develops reports, performs ad-hoc analysis, and writes SQL. They also provide guidance to less experienced analysts and collaborate with IT to enhance data warehouse and reporting solutions, potentially employing predictive modeling and advanced analytics.

Responsibilities

Lead the technical design and development of complex data, reporting, and analytics solutions.
Develop and maintain database tables, views, and other data objects that support reporting and analytics.
Evaluate existing solutions to determine if they meet business needs or if a new solution is appropriate.
Perform testing and validation of data and BI solutions, data changes, tool upgrades, enhancements, and change requests.
Identify opportunities to improve the efficiency, consistency, usability, and maintainability of data and BI solutions.
Provide technical guidance, training, and ongoing knowledge transfer to other team members.
Lead requirements gathering with stakeholders to understand business objectives, data needs, business definitions, and intended use.
Translate business requirements into technical specifications and appropriate data solutions.
Design and develop data models to support reporting, analytics, and data products; identify gaps, redundancies, and opportunities to reuse and standardize data structures across applications.
Apply and promote official institutional definitions and DSA standards in reporting and analytics.
Document data sources, data flows, business rules, and other information necessary to support accurate and sustainable solutions.
Present data and analytical findings in a clear, concise, and understandable manner appropriate to the audience.
Develop an in-depth understanding of the university's functional data environment and apply that knowledge when analyzing complex data questions.
Analyze data and existing solutions to identify inconsistencies, gaps, or potentially problematic data and recommend appropriate solutions.
Collaborate with stakeholders and data partners to improve data quality, consistency, and understanding.
Use analytical techniques to develop test cases and validate reporting, analytics, and data warehouse changes.
Maintain data confidentiality and comply with applicable university policies, laws, and regulations, including FERPA.
Explore and evaluate new technologies, methods, and approaches that have the potential to improve data and analytics capabilities.
Evaluate and apply artificial intelligence, machine learning, and other advanced analytics techniques where appropriate to improve data solutions, automate processes, generate insights, or address emerging institutional needs.
Identify opportunities to simplify, automate, standardize, or improve existing processes and solutions.
Contribute to the development and evolution of new data products and analytics capabilities, including helping define their purpose, structure, functionality, and intended users.
Collaborate with DSA team members, university stakeholders, and Information Technology to develop and test new approaches to delivering trusted data and analytics.
Prototype and evaluate innovative solutions and make recommendations regarding their broader adoption.
Help establish standards, practices, and patterns for emerging data and analytics capabilities as they mature.
Maintain and promote consistent business definitions, data standards, and reporting practices.
Maintain metadata, business terms, and other documentation that support understanding and appropriate use of institutional data.
Contribute to federal and external agency reporting requirements.
Assist with the annual development and validation of publicly available institutional data, including the VU Factbook and Common Data Set.
Promote appropriate data stewardship, security, confidentiality, and governance practices in the development and use of data solutions.
Evaluate the appropriate, responsible, and secure use of artificial intelligence and advanced analytics with institutional data, consistent with university policies and data governance requirements.

Requirements

Bachelor’s degree in computer science, business analytics, or related experience is necessary.
Experience developing complex data, reporting, and analytics solutions using BI and analytics technologies such as Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Tableau, Power BI, or similar tools is necessary.
Advanced SQL skills and experience working with relational databases and cloud data platforms, including Oracle and Snowflake, is necessary.
Experience designing and developing data models to support reporting, analytics, and data products is necessary.
Experience gathering and translating business requirements into technical specifications and data solutions is necessary.
Experience working with large, complex, and integrated datasets and identifying data quality issues, inconsistencies, and gaps is necessary.
Experience using data transformation, analytical, or programming tools such as Python, R, Excel, or similar technologies is necessary.
Experience testing and validating data, reporting, analytics, and data warehouse solutions is necessary.
Experience applying data governance principles, including data definitions, metadata, documentation, data quality, security, and appropriate use of institutional data, is necessary.
Demonstrated ability to independently analyze complex problems, evaluate alternative approaches, and exercise sound technical judgment is necessary.
Experience providing technical guidance, mentoring, training, or knowledge transfer to other analysts or technical staff is necessary.
Experience leading or managing complex, time-sensitive projects with limited supervision is necessary.
Experience evaluating or applying emerging technologies, including artificial intelligence, machine learning, or advanced analytics, is preferred.
Experience working in higher education, particularly within a research-intensive university environment, is preferred.
Detail-Oriented – Attention to detail, thoroughness, quality assurance, and handling mistakes appropriately.
Respects Confidentiality - Demonstrates a strong ethical compass, recognizing the sensitivity and potential power of data, information, and outcomes, respecting the privacy and dignity of personal data.
Teamwork – Genuinely values teamwork and co-workers, makes them feel valuable and important by acknowledging what they do well; doesn’t expect from others effort that one is unwilling to do themselves, finds ways to acknowledge other’s strong suits.
Communicates proactively. Uses sound judgment to identify what needs to be communicated with teammates, local leaders, and senior institutional leadership.
Raises the Bar – Expects and delivers excellence; is a creative problem solver; is proactive; welcomes input on making things better -- places a high value on learning and getting better.
Creative Thinking – Goes beyond the boundaries of the job description, willingly takes on new challenges, and finds creative solutions rather than always awaiting direct instructions.
Civil Discourse- The courage to challenge and be challenged by others with divergent points of view, substantiated by evidence and objective analysis.
Thoughtful Listening - To understand the needs of partners and stakeholders, asks relevant, clarifying, and probing questions and generates trust through this process.
Problem-Solving and Learning – Creative, proactive problem solver; welcomes input and places a high value on learning and continual improvement and professional development; willing to learn new technologies and tools.
Interpersonal Adaptability – Reads cues and adapts accordingly; adjusts style and approach to accommodate the styles and needs of others; can anticipate and effectively de-escalate potential conflicts.
Support Higher Education – Supports the overall value of higher education and understands the distinctive values of a research-intensive, highly-selective private institution such as Vanderbilt.
Self-Disciplined – Self-managing; self-motivated; manages time, activities and outcomes well so that progress stays on track; is accountable for own work.
Self-Aware - Self-reflective and recognizes one’s own biases and is sensitive to the perceptions of others. Understands own strengths and weaknesses and able to receive constructive feedback and initiate strategies to compensate and adapt. Recognizes the specific role of a member of staff within a faculty-led environment.

Skills

Oracle Transactional Business Intelligence (OTBI)
Oracle Analytics Cloud (OAC)
Tableau
Power BI
Snowflake
Advanced SQL
Relational databases
Cloud data platforms
Data modeling
Python
R
Excel
Data governance principles
Artificial intelligence
Machine learning
Advanced analytics

Location

Nashville, Tennessee

Work Type

Full-time

Experience Level

Senior
Experience developing complex data, reporting, and analytics solutions
Advanced SQL skills
Experience designing and developing data models
Experience gathering and translating business requirements
Experience working with large, complex, and integrated datasets
Experience using data transformation, analytical, or programming tools
Experience testing and validating data, reporting, analytics, and data warehouse solutions
Experience applying data governance principles
Demonstrated ability to independently analyze complex problems
Experience providing technical guidance, mentoring, training, or knowledge transfer
Experience leading or managing complex, time-sensitive projects
Experience evaluating or applying emerging technologies
Experience working in higher education

Education Level

Bachelor’s degree in computer science, business analytics, or related experience

About the Company

At Vanderbilt University, our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on the daily basis.
Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of “America’s Best Large Employers” as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running.
We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice.
We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story.

Equal Opportunity

Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.