Data Analytics Manager

Reposted 8 Days Ago
Cambridge, MA, USA
Hybrid
Junior
Edtech
The Role
The Data Analytics Manager leads a team to drive data-informed decision-making, improve member experience, oversee data governance, and optimize the data warehouse and analytics capabilities.
Summary Generated by Built In
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’re 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:

Basic Qualifications are the minimum threshold a candidate must meet in order to be considered for this role.

  • Minimum of two years’ post-secondary education or relevant work experience

Additional Qualifications and Skills:

The following qualifications are strongly preferred. If you meet some, but not all, we still encourage you to apply. Harvard FCU values employees with a willingness to learn.

  • 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

Additional Information

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.

#LI-BT1

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

Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: 

  • 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.

Skills Required

  • Bachelor's degree or equivalent experience required; Master's 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
  • Excellent communication and presentation skills
  • Proven leadership and team development experience preferred

Harvard Business School Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harvard Business School and has not been reviewed or approved by Harvard Business School.

  • Leave & Time Off Breadth Time off is considered broad, covering vacation, sick and personal days, numerous paid holidays including a winter recess, and paid parental leave. This breadth is positioned as a core part of the total rewards package.
  • Healthcare Strength Health coverage includes multiple medical plan options alongside dental, vision, FSAs/HSAs, and specialized support for high medical costs. This range of options is framed as competitive with large private employers.
  • Retirement Support Retirement programs include a university tax‑deferred 403(b) with automatic enrollment and escalation plus additional pension/retirement programs for eligible groups. These features are presented as part of a strong long‑term financial benefits offering.

Harvard Business School Insights

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The Company
HQ: Boston, MA
0 Employees
Year Founded: 1908

What We Do

Founded in 1908 as part of Harvard University, Harvard Business School is located on a 40-acre campus in Boston. Its faculty of more than 250 offers full-time programs leading to the MBA and PhD degrees, as well as more than 175 Executive Education programs, and Harvard Business School Online, the School’s digital learning platform. For more than a century, faculty have drawn on their research, their experience in working with organizations worldwide, and their passion for teaching, to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will go on to shape the practice of business and entrepreneurship around the globe. Community Guidelines: We may hide or block persons or hide or delete comments that include obscenities or are explicit, are spam or duplicate posts, spread misinformation, are irrelevant to the post, or are otherwise deemed inappropriate.

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