Data Analytics ManagerConditions. Workplace Diversity, LLC. • Cambridge, Massachusetts, United States
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Data Analytics Manager
Conditions. Workplace Diversity, LLC.
- Cambridge, Massachusetts, United States
- Cambridge, Massachusetts, United States
À propos
Responsibilities
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
Supervisory 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 work‑from‑home. Additional onsite days may be required based on business needs.
Visa Sponsorship 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.
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.
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.
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 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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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