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

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Manager Advanced Analytics

Quincy, MA · On-site

$125.20 - $187.80/hr

Ahold Delhaize USA associates support the brands with a wide range of services, including Finance ... Develop statistical models to predict supply chain operational needs and automate decision making ...

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All JobsDecision Analytics Associate JobsDecision Analytics Associate Jobs in Boston, MA

Decision Analytics Associate information

See Boston, MA salary details

$3.5K

$6.8K

$9.8K

How much do decision analytics associate jobs pay per month?

As of Aug 15, 2026, the average monthly pay for decision analytics associate in Boston, MA is $6,834.17, according to ZipRecruiter salary data. Most workers in this role earn between $6,200.00 and $7,291.67 per month, depending on experience, location, and employer.

What are the common challenges faced by decision analytics associates when working with cross-functional teams?

Decision Analytics Associates often collaborate with teams from marketing, operations, finance, and IT to gather data and implement solutions. A common challenge is translating complex analytical insights into actionable recommendations that are easily understood by non-technical stakeholders. Balancing multiple project priorities and adapting to varying data quality or availability can also be demanding. Proactive communication and a strong ability to tailor presentations to different audiences are key to success in this collaborative environment.

What is the difference between Decision Analytics Associate vs Data Analyst?

AspectDecision Analytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Analytics, or related field; proficiency in analytics toolsBachelor's degree in Statistics, Mathematics, or related field; strong data visualization skills
Work EnvironmentCollaborates with decision-makers to inform strategic choices, often in finance, marketing, or operationsAnalyzes data sets to identify trends, create reports, and support business insights
Employer & Industry UsageCommon in consulting, finance, and corporate strategy teamsWidely used across industries including healthcare, retail, and technology

While both roles involve data analysis, Decision Analytics Associates focus on applying insights to support strategic decision-making, whereas Data Analysts primarily interpret data to generate reports and identify trends. The roles often overlap but differ in their primary focus and application within organizations.

What is a decision analytics associate?

Decision Analytics Associates are professionals who use data analysis, statistical modeling, and business intelligence tools to help organizations make informed decisions. They typically gather and analyze large sets of data, identify trends, and develop actionable insights to improve business strategies. These associates often work with cross-functional teams to translate data findings into recommendations and support problem-solving across various business areas. Their work is crucial for companies seeking to optimize operations, enhance performance, and gain a competitive edge.

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

To thrive as a Decision Analytics Associate, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a bachelor's degree in a related field. Proficiency with data analytics tools such as SQL, Python, R, and visualization platforms like Tableau is essential. Excellent problem-solving abilities, communication skills, and attention to detail help you interpret data and convey insights effectively. These skills and qualities are vital to drive data-driven decision-making and deliver actionable recommendations that impact business outcomes.

What are popular job titles related to Decision Analytics Associate jobs in Boston, MA?

For Decision Analytics Associate jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Decision Analytics Associate jobs in Boston, MA look for?

The top searched job categories for Decision Analytics Associate jobs in Boston, MA are:

What cities near Boston, MA are hiring for Decision Analytics Associate jobs?

Cities near Boston, MA with the most Decision Analytics Associate job openings:

Decision Analytics Associate jobs near you
Infographic showing various Decision Analytics Associate job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $82,010 per year, or $39.4 per hour.

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

PwC

Boston, MA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.
In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Building meaningful client connections and managing relationships to anticipate and address client needs
- Navigating complex situations to grow personal brand and deepen technical skills
- Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
- Integrating data from various sources to enhance data quality and integrity
- Validating data security and compliance within analytics frameworks
- Creating dashboards and reports to communicate findings effectively to stakeholders
- Mentoring junior team members and guiding them in the use of data analysis tools and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced skills in predictive analytics and machine learning
- Excelling in customer analytics and forecasting methodologies
- Navigating complex data environments with ease
- Building meaningful client relationships through effective communication

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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