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Data Analytics Associate Jobs in Mansfield, MA (NOW HIRING)

... Associate & Summary At PwC, our people in data and analytics focus on leveraging data to drive ... They utilise advanced analytics techniques to help clients optimise their operations and achieve ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Data Analytics Associate information

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How much do data analytics associate jobs pay per month?

As of Aug 14, 2026, the average monthly pay for data analytics associate in Mansfield, MA is $6,659.25, according to ZipRecruiter salary data. Most workers in this role earn between $6,041.67 and $7,100.00 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

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

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

What are the most commonly searched types of Data Analytics jobs in Mansfield, MA?

The most popular types of Data Analytics jobs in Mansfield, MA are:

What cities near Mansfield, MA are hiring for Data Analytics Associate jobs?

Cities near Mansfield, MA with the most Data Analytics Associate job openings:

Infographic showing various Data Analytics Associate job openings in Mansfield, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,911 per year, or $38.4 per hour.

Associate Director / Director Commercial Analytics (Pharma & Lifescience)

Tiger Analytics, LLC

Boston, MA • On-site

$130 - $160/hr

Other

Re-posted 9 days ago


Job description

Overview

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 someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities
  • Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs
  • Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
  • Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
  • You will be responsible for account management, client relationships, and account growth
  • You will be responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
  • Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
  • Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
  • Experience working with all levels of management and consulting with key business stakeholders.
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
  • You will explore opportunities with current and new buying centers and will collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth. You will be responsible for P&L for your account portfolios managing revenue and margin goals
Qualifications
  • 10-16 years of professional work experience with at least 9 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
  • Experience in managing large accounts and active involvement in account growth. P&L ownership in the past would be an added advantage
  • Solid understanding of statistical and machine learning algorithms
  • Strong knowledge of Lifescience and Pharma domain
  • Strong project management and team management skills and ability to work with global teams
  • Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • 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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