DER/Entry Level/Data Analyst-CSR(100% Remote)

The DER/Entry Level/Data Analyst-CSR is responsible for extracting, processing, analyzing, and reporting on data to produce rigorous, actionable insights and research. They establish and maintain strong relationships with peers and leaders across IAR, Data Engineering, Product Management, Finance, EdTech, and Faculty staff. They perform ad hoc analyses, build standard reports and data visualizations, and deliver information and insights through various methods and media that privilege data storytelling and compress time-to-action.

Primary Responsibilities

Documents data and analytics needs in projects of medium/high complexity with a student and equity-centered lens, collaborating with peers, cross-functional partners, faculty staff, and leaders. Translates user stories into technical requirements.

Sets and manages expectation about analytics tasks and activities through clear, timely, and effective communication with partners and stakeholders.

Identifies adequate data sources and data sets to evaluate hypotheses and produce forecasts.

Collaborates with Data Engineering in the development of 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.

Combines data analysis, visualization, and narrative structures to convey information in compelling ways that instigate deliberate action.

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, 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 enrichment of the university's data management platforms (e.g., data dictionaries, catalogs, etc.).

Tracks and reports own progress, dependencies, and challenges diligently.

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.

Understands and abides by the relevant policies and methods to access, use, transform, store, and delete data in responsible, secure, and compliant ways.

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.

Minimum Qualifications

Bachelor's degree in a related discipline

3 years of related experience in Data Analysis, Business Intelligence, Data Science, Statistics, Decision Intelligence, Research, Learning Science, or Behavioral/Cognitive Psychology.

Preferred Qualifications

Experience in higher education

Experience supporting external partnerships (IPEDS)

Experience with Adobe Analytics