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Associate Director Analytics Jobs in Boston, MA (NOW HIRING)

Title: Portfolio Analytics, Associate Director Department: Portfolio Finance Location: Charlotte, NC or Boston, MA The Opportunity This role sits at the intersection of portfolio finance, data ...

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Associate Director Analytics information

See Boston, MA salary details

$11.9K

$129.2K

$191.7K

How much do associate director analytics jobs pay per year?

As of Jul 28, 2026, the average yearly pay for associate director analytics in Boston, MA is $129,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $166,200.00 per year, depending on experience, location, and employer.

What is the difference between Associate Director Analytics vs Data Scientist?

AspectAssociate Director AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often some management experienceTypically a Master's or PhD in Data Science, Statistics, or related field
Work EnvironmentLeads analytics teams, collaborates with senior management, oversees projectsFocuses on data modeling, algorithm development, and data analysis
Employer & Industry UsageCommon in corporate, healthcare, finance sectorsWidely used across tech, finance, and research organizations
Search & Comparison IntentOften compared for leadership roles in analytics teamsCompared for technical expertise and data modeling skills

The Associate Director Analytics typically combines leadership with advanced analytics skills, overseeing teams and strategic projects. Data Scientists focus more on technical data modeling and analysis. Both roles require strong analytical credentials, but the Associate Director often has managerial responsibilities, making it a step towards senior leadership in analytics.

What does an Associate Director of Analytics do?

An Associate Director of Analytics leads teams responsible for analyzing data to drive business decisions and strategies. They oversee the development and implementation of analytical frameworks, manage data projects, and ensure the accuracy and usefulness of insights provided to stakeholders. This role typically involves close collaboration with other departments, mentoring analysts, and helping to define key performance indicators and reporting processes. Associate Directors of Analytics play a crucial role in transforming data into actionable intelligence to support organizational goals.

How does an Associate Director of Analytics typically collaborate with other departments within an organization?

An Associate Director of Analytics often works closely with departments such as marketing, finance, product management, and operations to understand their data needs and deliver actionable insights. They facilitate cross-functional meetings to align analytics initiatives with business objectives and ensure data-driven decision-making. Effective communication and stakeholder management are key, as the role requires translating complex analytical findings into clear recommendations for both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive as an Associate Director Analytics, and why are they important?

To thrive as an Associate Director Analytics, you need advanced analytical skills, a solid background in statistics or data science, and experience managing analytics projects, typically supported by a relevant degree and several years in the field. Familiarity with tools like SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and knowledge of data governance frameworks are commonly required. Strong leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These abilities are crucial for driving data-informed decision-making and leading high-performing analytics teams that align with organizational goals.
What are popular job titles related to Associate Director Analytics jobs in Boston, MA? For Associate Director Analytics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Associate Director Analytics jobs in Boston, MA look for? The top searched job categories for Associate Director Analytics jobs in Boston, MA are:
Infographic showing various Associate Director Analytics job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, 16% Hybrid, and 6% Remote job distribution, with an average salary of $129,222 per year, or $62.1 per hour.
Sr Associate Director - Analytics

Sr Associate Director - Analytics

NorthEastern

Boston, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

About the Opportunity

Job Summary:
The Senior Associate Director for Analytics plays a critical role within University Decision Support (UDS) by providing expertise, leadership, and support for analytics across Northeastern. The Senior Associate Director will be responsible for identifying, creating, and executing analytics projects. They will assist in the development of analytic capacity and facilitate the increased use of timely, actionable data across Northeastern, using a variety of statistical models, data visualizations, and analytical tools. The Senior Associate Director will help visualize key strategic metrics, goals, and predictive analytics to improve the financial condition of the university, advance student learning, support the global network, and increase research. The Senior Associate Director will combine large quantities of data to perform trend analysis, predictive analytics, and data mining to provide actionable insights that inform strategic and tactical decisions and lead to improved results.

The Senior Associate Director will also collaborate with and leverage the work of the UDS team. In particular, he or she will work with UDS team members to gather needed data, promote the use and interpretation of accurate information, and document methodologies.
Qualifications:
Master's degree in statistics, operations research, mathematics, computer science, psychology, economics, education, sociology, or other statistical analysis and quantitative research discipline

  • 5-10 years of applicable work experience in analytics, data science, business intelligence, institutional research, or related fields, preferably in higher education

  • Experience developing innovations in data science, analytics, research, and associated methodologies and technologies

  • Ability to think strategically about Northeastern's academic plan, goals, issues and programs to be able to support these topics through clear and concise communication

  • Ability to translate complex analytical findings into clear recommendations through data visualization and storytelling

  • Excellent analytical skills with demonstrated ability to solve problems

  • Experience with BI tools (e.g., Cognos, Argos, Tableau, Excel)

  • Experience in statistical modeling, machine learning, data analysis, and reporting

  • Proficiency in Python or R

  • Ability to plan, execute and control a project, establishing realistic estimates and reporting timelines

  • Advanced knowledge of relational databases and experience designing, maintaining and reporting from large databases and multiple tables, preferably Snowflake. Ability to query enterprise databases by programming complex queries using SQL.

  • Advanced knowledge to perform statistical tests and create models (T-tests, ANOVA, regression models)

  • Ability to visualize data into interactive tables and charts, preferably using Tableau

  • Commitment to improving data quality and documentation

Key Responsibilities:
Data visualization and analysis (40%)

Visualize data, create metrics, and develop analytical models (predictive and prescriptive) to advance the university's goals

Combine large quantities of data to perform trend analysis, predictive analytics, and data mining to provide actionable insights that inform strategic and tactical decisions and lead to improved results
Support Northeastern's D&A program (20%)

Support the design and implementation of the university's analytics platform and data governance policies that will enable insights and data-driven decisions.

Coordinate and communicate with others throughout Northeastern to accomplish shared goals, educate new analytics users, and achieve cultural change.
Support ad hoc and ongoing requests for analysis (30%)

Report on ad hoc requests for data (particularly those with an analytical element), provide data for management, assessment, accreditation, and other decision support needs.As needed, productionalize ad hoc analysis into repeatable, ongoing artifacts.
Develop analytics expertise and resources (10%)

Learn and support analytical tools such as Cognos Analytics, SPSS, Tableau, Snowflake, or other helpful software in the context of analytics at Northeastern.Serve as an expert resource for other members of the UDS team and analysts across Northeastern.Contribute to related user group discussions and presentations.

Position Type

Data Planning and Analysis

Additional 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:

111S

Expected Hiring Range:

$87,785.00 - $123,998.75

With 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.