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Data Analytics Manager Jobs in Boston, MA (NOW HIRING)

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision ...

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision ...

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We ... The position also supports marketing efforts, including promotional campaign analysis and CRM ...

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Applying knowledge of data management, data governance, service catalogue, data lineage tools ... or analytics; Demonstrated strong proficiency in SQL; Demonstrated knowledge of data management ...

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Applying knowledge of data management, data governance, service catalogue, data lineage tools ... or analytics; Demonstrated strong proficiency in SQL; Demonstrated knowledge of data management ...

Within our Deals practice, you will leverage your analytical skills to transform data into ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

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Data Analytics Manager information

See Boston, MA salary details

$33.7K

$105.5K

$186.9K

How much do data analytics manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data analytics manager in Boston, MA is $105,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,700.00 and $136,300.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Boston, MA? The most popular types of Data Analytics jobs in Boston, MA are:
What are popular job titles related to Data Analytics Manager jobs in Boston, MA? For Data Analytics Manager jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Boston, MA look for? The top searched job categories for Data Analytics Manager jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Analytics Manager jobs? Cities near Boston, MA with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Boston, MA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $105,538 per year, or $50.7 per hour.
Business Systems & Data Analytics Manager

Business Systems & Data Analytics Manager

Code Red Consultants LLC

Southborough, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Description:

If you are a person with a disability needing assistance with the application process, please contact: Karen Lacroix, Human Resource Director at klacroix@crcfire.com, 508-205-4135.


Code Red Consultants is seeking a proactive and highly capable leader to own and advance the firm’s enterprise business systems and data analytics environment. This role is ideal for someone who combines strategic thinking with hands-on execution and is energized by modernizing systems, workflows, and reporting capabilities that support operations and firm growth.

This position will play a key role in shaping the future of the firm’s internal business platforms, analytics environment, and decision-support capabilities. The individual in this role will help ensure systems are connected, scalable, and aligned with operational needs, while bringing a forward-looking mindset around data, automation, and the use of AI-enabled tools. The ideal candidate thrives in a fast-paced, team-oriented environment, and brings both strategic thinking and hands-on execution.


Key Responsibilities


Enterprise Systems & Business Applications
  • Lead strategy, governance, administration, and continuous improvement of the firm's enterprise business systems, including Enterprise Resource Planning (ERP), Human Resources Information Systems (HRIS), Customer Relationship Management (CRM), document management, collaboration, and other operational platforms.
  • Oversee system architecture, integrations, user access, governance, and platform performance across current and future business applications.
  • Govern and continuously evolve the firm’s SharePoint and intranet environment, ensuring information architecture, structure, and user experience align with governance standards and business needs.
  • Partner with stakeholders to identify business needs, evaluate opportunities for improvement, and implement practical systems solutions.
  • Drive business process improvements, workflow enhancements, and scalable platform changes that support operational effectiveness.
  • Coordinate internal teams and external resources to deliver system enhancements and ongoing platform evolution.
  • Own the architecture, configuration, integration, user access controls, data governance, and security of the firm’s CRM platform, ensuring alignment with business processes & best practices.
Data & Analytics
  • Define and implement the firm's enterprise data strategy, including data sources, structure, quality, governance, stewardship, ownership, and access.
  • Help shape and modernize the firm’s data and analytics environment to support operational visibility and strategic decision-making.
  • Lead the development of reporting, dashboards, and visualization tools that deliver actionable business insight.
  • Establish scalable data structures, reporting architecture, and analytics capabilities across the organization.
  • Promote trusted, accurate, and decision-ready data across systems, reporting, and analytics tools.
  • Apply modern tools, including AI-enabled capabilities where appropriate, to support analytics development, workflow improvement, and business insight.
Architecture & Integration
  • Design and oversee integrations across enterprise systems to improve consistency, efficiency, and alignment across the organization.
  • Support data flows, automation, and scalable reporting structures across business platforms.
  • Establish standards, documentation, and best practices for enterprise systems and data usage.
  • Lead change management, adoption, and enablement efforts related to systems and analytics capabilities.
  • Support internal initiatives that improve enterprise platforms, data accessibility, and operational effectiveness .
Requirements:
  • Bachelor’s degree with 10–15+ years of experience leading or owning enterprise business systems, business applications, or related operational platforms
  • Strong understanding of systems integration, architecture, reporting, analytics, data workflows, and data warehousing concepts
  • Familiarity with AI and AI-enabled tools that support analytics, workflow improvement, automation, or operations
  • Experience translating business needs into scalable systems and data solutions
  • Experience working across functions such as operations, IT, finance, HR, and executive leadership
  • Experience with dashboards, reporting tools, business intelligence, data modeling, and the development of scalable analytics and reporting capabilities
  • Strong understanding of relational data, SQL (including complex queries), and data modeling principles
  • Experience administering modern SharePoint, including governance, permissions management, site architecture, and support of enterprise collaboration environments
  • Experience with platforms such as Unanet AE, Microsoft O365, Egnyte, Paylocity, and similar business systems is a plus, but not required
  • Ability to operate both strategically and hands-on in a growing, fast-paced environment
  • Strong communication skills, sound judgment, and a business-first mindset

Work Environment

Professional office. Hybrid & flexible work arrangement including office(s), project sites, and remote work. Schedule: At least 40 hours, Monday – Friday. Normal company business hours are 8:00am – 5:00pm.


Benefits

We offer an excellent compensation package which currently includes a competitive base salary, discretionary quarterly bonuses, generous paid time off benefits, 401(k) employer contributions and retirement benefits, cost-shared medical and dental insurance, tuition reimbursement, and 100% paid vision, life, and disability insurance.


Estimated Salary Range: $120,000-160,000 (annually), plus eligibility for discretionary quarterly bonuses (based on individual and company performance). This compensation range and general benefits overview reflect Code Red Consultants’ good faith estimate for this position. This range considers various factors involved in making compensation decisions, including but not limited to the successful applicant’s skills, experience, education, licensure, location, and internal equity.


Code Red is an equal opportunity employer - Disability, Veterans


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