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Data Analytics ManagerHarvard Central Administration (CADM) Talent Acquisition • Cambridge, Massachusetts, United States
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Data Analytics Manager

Harvard Central Administration (CADM) Talent Acquisition
  • US
    Cambridge, Massachusetts, United States
  • US
    Cambridge, Massachusetts, United States
Jetzt Bewerben

Über

Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world‑changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard University Central Administration? Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high‑quality and efficient services to the schools to help them achieve their goals.
At Harvard FCU, we believe a brighter world is possible, and that together, we can all help create it. That’s why, since 1939, we’ve helped our members build a strong financial future so they can make an impact in life, wherever it may lead. From students to professionals, from in‑branch to online, from new beginnings to lifetime milestones, from Harvard Square to around the world, we deliver the accessible financial tools and resources everyone, everywhere needs to thrive. By coming together to serve, equip, and empower people to make a positive impact in their lives and communities, we are helping build a more prosperous world for all. Join us!
Harvard FCU: https://harvardfcu.org/
Job Description Job‑Specific Responsibilities The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more impactful decisions. The Data Analytics Manager oversees a team of analysts and partners across the credit union to unlock the value of our data, drive growth, improve member experience, and enable innovation. This role also leads to the evolution of our data warehouse, reporting tools, and analytics capabilities to ensure data is accessible, trusted, and actionable.
Data Strategy & Leadership
Champion a culture of data‑informed decision‑making across the organization
Partner with senior leaders and business units to identify and prioritize high‑impact opportunities
Lead, coach, and develop a high‑performing analytics team
Own key analytics platforms and vendor relationships
Bridge business and technical teams to ensure the right questions are asked and answered with confidence
Data Analysis & Business Intelligence
Lead development of intuitive dashboards and reporting (e.g., Tableau)
Translate business needs into meaningful metrics, KPIs, and insights
Deliver actionable analysis across member growth, lending, deposits, and digital engagement
Empower teams through self‑service analytics and data accessibility
Data Governance & Quality
Establish practical, scalable data governance standards
Ensure data integrity through quality controls and monitoring
Define and maintain data definitions, lineage, and documentation
Support compliance with regulatory, privacy, and security requirements
Data Warehouse & Architecture
Lead design and optimization of the enterprise data warehouse
Oversee data pipelines and integrations across core, digital, lending, and third‑party systems
Ensure performance, scalability, and reliability of the data environment
Stay current on modern data platforms and architectures (e.g., Snowflake)
Other duties as assigned.
Qualifications Basic Qualifications
Minimum of two years’ post‑secondary education or relevant work experience
Additional Qualifications and Skills
Bachelor’s degree or equivalent experience required; Masters degree preferred
Strong SQL expertise
Experience working with structured and unstructured data environments
Proficiency with BI tools (e.g., Tableau, Power BI)
Background in quantitative analysis and statistical modeling
Understanding of data infrastructure and ELT/ETL frameworks
Strong analytical and problem‑solving skills
Ability to translate complex data into clear, actionable insights
Excellent communication and presentation skills
Ability to work independently and collaboratively
Strong organization and attention to detail
Proven leadership and team development experience preferred
Working Conditions Onsite work is performed in an office setting.
Standard Hours/Schedule 35 hours per week. 3 days a month onsite with 1‑week WFH. Additional onsite days will be required based on business needs.
Visa Sponsorship Information Harvard University is unable to provide visa sponsorship for this position.
Pre‑Employment Screening Credit, Criminal, Education, Identity, Prohibited Parties (OFAC - Office of Foreign Assets Control).
Other Information This position has a 90‑day orientation and review period.
Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non‑Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard‑designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges This position is salary grade level 056. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks
Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non‑Discrimination Commitment Statement Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non‑discrimination policy. Harvard's equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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  • Cambridge, Massachusetts, United States

Sprachkenntnisse

  • English
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