Data Analytics Manager

Job Description

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.

• 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

• 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

• Establish practical, scalable data governance standards
• Ensure data integrity through quality controls and monitoring

• 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.

Basic Qualifications: Minimum of two years’ post‑secondary education or relevant work experience;
Supervisory experience.

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

Additional

Qualifications and Skills:

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.

• 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…