brandeis

Data Strategy Analyst, Brandeis Career Center

Apply Now

At a Glance

Location
Brandeis - Waltham Campus, United States
Employment
Full time
Experience
3–5 years
Compensation
Hiring Range: $59,400 - $78,500 Lead Career Center Data Strat
Posted
2026-07-21

Key Requirements

Required Skills

Data ScienceExcelPower BISASTableau

Domain Knowledge

  • Education

Benefits & Perks

Health Insurance

ive and competitive benefits package designed to support your health, financ

Requirements

3–5 years of experience in data analytics, reporting, or data management

Advanced proficiency in Excel and experience with data visualization tools (e.g., Power BI, Tableau)

Demonstrated experience developing dashboards and reports for decision-making

Experience working with multiple data systems and integrating data from various sources

Experience with survey tools and statistical software (e.g., Qualtrics, R, SPSS, SAS, or similar)

Strong understanding of data visualization best practices and user-centered reporting design

Compensation & Benefits

As the Data Strategy Analyst, you'll play a key role in helping the Brandeis Career Center measure and communicate its impact across undergraduate and graduate programs. Your work will shape strategy, inform institutional decision making, and ensure the Career Center uses data to continually improve programs, services, and student outcomes.

Join a growing, forward-thinking career center during an exciting period of transformation

Lead data strategy and analytics that directly influence organizational priorities and decision making

Partner with colleagues across the university and explore innovative approaches to analytics, data visualization, AI, and assessment to improve student success

Work on a collaborative team that values curiosity, continuous learning, innovation, and evidence-based decision making

Work Environment:

Responsibilities

Data Strategy and Governance (30%)

Develop and manage a comprehensive data strategy for the career center across undergraduate and graduate populations

Establish and maintain data governance practices, including standardized definitions, processes, and reporting protocols

Ensure data integrity, quality, and consistency across all systems and platforms

Oversee integration of multiple data sources, including CRM systems, survey platforms, and external datasets