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Data Analytics Manager Jobs in Massachusetts (NOW HIRING)

Munich Re

Technical Architect - Data, Analytics & AI

Lynn, MA · Hybrid

$65.75 - $84.75/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities. * Design and guide datacentric and AIenabled initiatives , supporting the ...

Repligen

$93K - $116K/yr

Your role will involve working across Salesforce CRM, marketing automation platforms, and analytics ... Data Analysis & AI-Driven Insights: • Analyze campaign performance across channels including web ...

Mitre

Health Data Analytics Engineer

Bedford, MA · On-site

$120K - $144K/yr

Experience with data analysis, data fusion and integration. * Strong analytical skills and comfort ... PPR Talent Management Group partners with Brightmove to ensure that only your professional info is ...

Chewy

Pricing Analytics Manager

Boston, MA

$86K - $138K/yr

Chewy is hiring a Pricing Analytics Manager to own core Pricing programs that improve customer ... As a Pricing Manager, you will leverage data, business judgment, and pricing knowledge to support ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Massachusetts

Data Analytics Manager information

See Massachusetts salary details

$33.9K

$106.1K

$187.8K

How much do data analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics manager in Massachusetts is $106,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $137,100.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a data analytics manager?

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.

What are the most commonly searched types of Data Analytics jobs in Massachusetts? The most popular types of Data Analytics jobs in Massachusetts are:
What are popular job titles related to Data Analytics Manager jobs in Massachusetts? For Data Analytics Manager jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Massachusetts look for? The top searched job categories for Data Analytics Manager jobs in Massachusetts are:
What cities in Massachusetts are hiring for Data Analytics Manager jobs? Cities in Massachusetts with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Massachusetts as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 5% Part Time, 5% Contract, and 2% Nights. Highlights an 87% In-person, 8% Hybrid, and 5% Remote job distribution, with an average salary of $106,094 per year, or $51 per hour.

Director, Commercial Data Analytics - Pharma & Life Sciences

Tiger Analytics, LLC

Boston, MA • On-site

Other

Posted 5 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a highly experienced and strategic leader to drive Commercial Data and Analytics initiatives.

Responsibilities
  • Data Analytics & Strategy: Lead the application of the latest data science techniques and advanced analytics approaches to solve complex business problems in the Pharma and Life Science domain.
  • Stakeholder & Solution Design: Work directly with client stakeholders to translate high-level business problems into detailed, high-level analytics solution designs.
  • Leadership & Execution: Lead strategic efforts in omni-channel analytics, helping the business optimize its marketing, sales, and digital engagements across various touch points in the commercial pharmaceutical sector.
  • Business Intelligence (BI) & Analytics: Lead the design and delivery of advanced analytical and Business Intelligence (BI) products, focusing on metrics design, reporting, and leveraging data best practices to drive informative decisions.
  • Data Management & Engineering (DE): Oversee and guide data architectures, ensuring a strong emphasis on data quality, data integrity, and compliance with commercial data management frameworks.
  • Commercial Expertise: Apply extensive experience in core commercial pharma areas such as omni-channel strategy, customer journey mapping, and marketing effectiveness.
  • Client Engagement: Serve as a key analytics consulting leader, working closely with senior client stakeholders to understand business requirements, design solutions, and drive cross-functional collaboration.
Qualifications
  • 12-16 years of professional work experience with at least 8 years in data analytics
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Solid understanding of statistical and machine learning algorithms
  • Strong project management and team management skills and ability to work with global teams.
  • Fluency and extensive working experience with various pharmaceutical data sources, including: Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy data and Payer Formulary (MMIT) data.
  • Graduate in Business Analytics or MBA or equivalent work experience

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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