IAR Lead Data Analyst

Job Duties

• Drives the documentation of data, analytics, and research needs in projects of high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders.
• Led the translation of user stories into technical requirements.
• Sets and manages expectations about complex analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.
• Answers complex business questions requiring extensive knowledge of the university’s data assets across several domains and departments.
• Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts.
• Collaborates with Data Engineering in the development of complex ETL/ELT processes and data pipelines.
• Identifies, investigates, and solves complex data issues, contributing to the accuracy, completeness, consistency, timeliness, and validity of the university’s data.
• Collaborates with Data Engineering and other data & analytics partners to define standards and best practices that increase data quality across the university.
• Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.
• Participates in the definition of data visualization standards and best practices and promotes their adoption across the university.
• Utilizes software, scripts, and algorithms to perform data-related tasks (e.g., importing, cleaning, transforming, analyzing displaying) without human intervention.
• Conveys information effectively to peers, partners, and senior leaders, using a variety of resources and formats (synchronous and asynchronous, verbal and written) such as e-mails, presentations, meetings, and workshops.
• Creates and organizes information about processes, projects, operations, data assets, and insights from analyses and research, making it accessible in ways that increase the university’s knowledge and efficiency.
• Writes and interprets technical documentation (e.g., Entity-Relationship, Conceptual, Logical, and Physical data models).
• Contributes actively to the development of the university’s data management platforms (e.g., data dictionaries, catalogs, etc.).
• Plays a prominent role in other team members’ development through constructive feedback and sharing of technical and institutional knowledge.
• Drives tasks, activities, and medium-scale projects with high levels of autonomy, confidence, and collaboration with peers and partners.
• Tracks and reports own progress, dependencies, and challenges diligently.
• Breaks down complex goals into concrete tasks and activities, and actively supports leaders in project planning.
• Works actively to improve own skills and knowledge through internal and external, formal and informal, structured and unstructured learning.
• Is a lifelong learner and embodies a growth mindset.
• Stays abreast of innovative developments in their area of work and plays an active role in deploying them at the university.
• Supports leadership in strategic planning and contributes to operational excellence across the department.
• Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.
• Identifies data security risks when dealing with concrete data sets and takes adequate mitigation actions.
• Collaborates effectively with other technical specialists (e.g., data engineers) in the construction of data products, systems, and applications.
• Performs other job-related duties as assigned.