Data Analytics Engineer Jobs in Massachusetts
Data Analytics Engineer jobs in Massachusetts are in strong demand, concentrated in life sciences, financial services, and technology sectors, with openings at every level from entry-level to senior and staff engineer. Boston, Cambridge, and Burlington are the primary hiring hubs, where employers like Wayfair, Fidelity Investments, and Biogen maintain established analytics and data engineering teams. The most sought-after specializations in Massachusetts include cloud data pipeline development, dbt and Snowflake implementation, and analytics infrastructure for regulated industries such as biopharma and asset management. Find a role that fits below and apply directly.
Find Data Analytics Engineer JobsOverview
Showing 5 of 40+ Data Analytics Engineer jobs
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.
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.
See All 40 Data Analytics Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Automotive
- Accounting & Auditing
- Investment & Asset Management
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Massachusetts.
- Bachelor's degree in computer science, statistics, or a related quantitative field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Experience building and maintaining data pipelines using tools like dbt, Airflow, or Spark
- Hands-on work with cloud data platforms such as Snowflake, Redshift, or BigQuery on AWS or Azure
- Ability to partner with data scientists and analysts to translate business questions into data models
- Familiarity with version control workflows and software engineering best practices including Git and CI/CD
Data Analytics Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a data analytics engineer in Massachusetts?
There is no state-issued license required to work as a data analytics engineer in Massachusetts. Most employers hire candidates with a bachelor's degree in computer science, engineering, mathematics, or a related field, followed by demonstrated experience with data modeling and pipeline tools. Massachusetts employers, particularly in life sciences and financial services, often favor candidates who have worked with regulated data environments and can show a portfolio of reproducible, well-documented data work.
How much do data analytics engineers make in Massachusetts?
Data analytics engineers in Massachusetts earn a median of about $131,750 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $81,030 for the lowest 10% to over $206,220 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in Massachusetts?
Employers hiring data analytics engineers in Massachusetts right now include Collegium Pharmaceutical, Xometry, and Klaviyo, based on current listings on Migrate Mate as of September 2026. Massachusetts's dense concentration of biopharma companies, asset managers, and technology firms means consistent, year-round demand across industries rather than hiring tied to a single sector.
Which Massachusetts cities have the most data analytics engineer jobs?
Boston, Waltham, and Somerville have the most data analytics engineer openings in Massachusetts. Boston and Cambridge anchor the market through their concentration of technology companies, financial institutions, and major research hospitals, while Burlington and Waltham attract demand from the Route 128 corridor's established enterprise software and life sciences campuses.
Are there remote data analytics engineer jobs in Massachusetts?
Yes, and more than most fields. About 46% of data analytics engineer openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting the desk-based and collaborative nature of the work. Pipeline development, data modeling, and analytics infrastructure work are the most commonly offered remotely, while roles that require close coordination with embedded data science or product teams more often prefer hybrid arrangements.
How can I get hired as a data analytics engineer in Massachusetts with little or no experience?
The most realistic entry path is a data analyst or analytics engineer associate role, which many Massachusetts employers use as a structured on-ramp. Companies like Wayfair and Fidelity Investments run rotational or associate programs that move candidates from analyst work into engineering responsibilities over time. Building a public portfolio using open datasets and tools like dbt and Snowflake strengthens an application significantly, as does lateral movement from a business intelligence analyst or data analyst position where pipeline exposure is possible.
Where can I find and apply to data analytics engineer jobs in Massachusetts?
You can find and apply to data analytics engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across industries and experience levels. Find the roles that fit your background and apply directly.
See All 40 Data Analytics Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Data Analytics Engineer Jobs