Data Analytics Engineer Jobs in Boston, MA
Data Analytics Engineer jobs in Boston are in strong demand, concentrated in the Seaport District, Kendall Square, and the Financial District, across life sciences, financial services, and technology. Employers hiring right now include Klaviyo, Collegium Pharmaceutical, and BNY. See the openings below and apply to the ones that match your experience.
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About the Opportunity
Job Summary
The Senior Director of Intelligence, Analytics & Data provides strategic leadership for Advancement’s reporting, analytics, data governance, innovation, and organizational learning functions. Reporting to the Vice President of Advancement Resources, this role establishes priorities, governance structures, and analytical strategies that enable data-informed decision-making across the Advancement enterprise.
The Senior Director oversees a portfolio that includes reporting and business intelligence, data governance, integrations and data architecture, innovation and emerging technologies, artificial intelligence enablement, and organizational learning. This role serves as a strategic advisor to Advancement leadership, ensuring data, technology, and analytics capabilities are aligned with fundraising priorities and institutional objectives. The Senior Director leads a team of directors and analysts responsible for building a modern, scalable, and trusted data environment that supports fundraising effectiveness and operational excellence.
Minimum & Preferred Qualifications
Required Qualifications
- Bachelor's degree required.
- 10+ years of progressive experience in analytics, business intelligence, data governance, advancement services, information management, or related field.
- Experience leading analytics, reporting, or data strategy functions.
- Demonstrated success leading cross-functional teams and complex organizational initiatives.
- Strong understanding of data governance, business intelligence, and organizational performance measurement.
Preferred Qualifications
- Master's degree preferred.
- Experience in higher education advancement, fundraising, or nonprofit environments.
- Experience implementing enterprise analytics, governance, or AI initiatives.
- Experience leading organizational change and innovation programs.
- Familiarity with Salesforce, Tableau, Power BI, CRM systems, and data platforms.
Key Responsibilities & Accountabilities
1. Strategic Leadership & Organizational Prioritization
Establish the vision, priorities, and operating model for Intelligence, Analytics & Data. Align resources and initiatives with Advancement goals and provide strategic guidance to leadership regarding analytics, reporting, governance, innovation, and technology opportunities.
2. Analytics, Reporting & Decision Support Strategy
Oversee the development of reporting, business intelligence, and analytics capabilities that support fundraising performance, operational effectiveness, and leadership decision-making. Ensure stakeholders have access to trusted and actionable information.
3. Data Governance & Enterprise Information Management
Provide executive oversight of Advancement data governance, data quality, stewardship, and information management practices. Establish accountability structures and governance processes that improve confidence in institutional data assets.
4. Innovation, AI & Organizational Learning
Champion innovation across Advancement through the evaluation and adoption of emerging technologies, AI-enabled solutions, and organizational learning programs. Foster a culture of continuous improvement and data literacy.
5. Leadership, Talent Development & Cross-Functional Partnership
Lead and develop a high-performing team of directors and analysts. Partner with Advancement leadership, Technology, Finance, and university stakeholders to advance shared goals and drive organizational effectiveness.
Key Competencies
- Strategic leader with experience building and leading analytics, reporting, and data governance functions
- Ability to align data strategy with fundraising priorities and organizational goals
- Strong decision-making and prioritization skills in complex environments
- Proven ability to build high-performing, cross-functional teams
- Executive communication and stakeholder management
- Innovation leadership and change management
- Enterprise data governance and analytics expertise
Supervision
Directly supervises:
- Director of Intelligence & Innovation
- Director of Data Integrity & Governance
- Director of Reporting & Analytics
Position Type
Data Planning and AnalysisAdditional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
114SExpected Hiring Range:
$130,945.00 - $189,868.75With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Accounting & Auditing
- Investment & Asset Management
- Consulting & Professional Services
Data Analytics Engineer Jobs in Boston: Frequently Asked Questions
How do I get a data analytics engineer job in Boston?
The strongest path into Boston's market runs through its life sciences corridor, financial services firms concentrated in the Financial District, and the dense cluster of technology companies around Kendall Square and the Seaport. Candidates who can demonstrate experience with cloud data platforms, dbt, and SQL alongside exposure to regulated-data environments stand out locally. Targeting mid-size biotech and fintech firms, which hire at volume in Boston, is often more productive than focusing on large enterprise employers.
Which companies hire data analytics engineers in Boston?
Companies currently hiring data analytics engineers in Boston include Klaviyo, Collegium Pharmaceutical, and BNY, per current listings on Migrate Mate as of September 2026. Boston's employer mix skews heavily toward life sciences companies, regional banks and asset managers, and venture-backed technology startups, all of which maintain dedicated data engineering functions.
Are there remote data analytics engineer jobs in Boston?
Yes, data analytics engineer roles are well-suited to remote work because the core responsibilities, pipeline development, data modeling, and BI tooling, are desk-based and collaborative through code. About 54% of data analytics engineer openings tied to Boston are remote or hybrid as of September 2026, reflecting broader industry norms. Pipeline maintenance and stakeholder-facing work are the most commonly remote functions among Boston-based teams.
How can I get a data analytics engineer job in Boston with little or no experience?
The most realistic entry path in Boston is through junior data analyst or analytics engineer apprentice roles at the city's mid-size biotech and fintech companies, which routinely hire candidates building toward a full engineering skill set. Contributing to open-source dbt projects, earning a cloud platform certification, and building a public portfolio of SQL transformations and data models gives Boston hiring managers something concrete to evaluate. Lateral moves from analytics or BI roles at Boston-area research hospitals and asset managers are another common on-ramp.
Which industries hire the most data analytics engineers in Boston?
The sectors hiring the most data analytics engineers in Boston are Technology & Software, Accounting & Auditing, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. Boston's concentration of life sciences research institutions, regional financial firms, and a maturing technology startup ecosystem creates sustained, parallel demand for data engineering talent across all three sectors.
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