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Associate Data Analyst Jobs in Boston, MA (NOW HIRING)

Data Strategy-Manager

Boston, MA ยท On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance ...

Associate Analyst

Boston, MA ยท On-site

$65K/yr

Associate Analyst - Boston, MA IMP is seeking versatile client-facing Associates to join our ... Our client projects can include data integration projects, vendor searches, compliance, trade order ...

Showing results 41-60

Associate Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.7K

How much do associate data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for associate data analyst in Boston, MA is $89,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

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

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Boston, MA?

The most popular types of Data Analyst jobs in Boston, MA are:

What are popular job titles related to Associate Data Analyst jobs in Boston, MA?

For Associate Data Analyst jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Associate Data Analyst jobs?

Cities near Boston, MA with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $89,776 per year, or $43.2 per hour.

Scientific Data & Technology Strategy Associate Consultant - Discovery

ZS

Boston, MA โ€ข On-site

$120K - $137K/yr

Full-time

Re-posted 20 days ago


Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
As a Scientific Data & Technology Strategy Associate Consultant in Discovery, you will apply your technical, data, and research technology expertise to help leading biotech and biopharma clients design and implement scalable solutions that improve and streamline drug discovery workflows.
ZS's Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices, bringing hands-on scientific expertise to enhance both technology and strategy initiatives. As a Venture within ZS, we continuously develop, test, and refine new approaches to maximize impact for our clients and the patients they serve. This unique position enables us to combine agility and innovation with the resources and knowledge of ZS's 13,000+ global team. ZS is expanding the Discovery Venture and seeking driven, curious, and creative experts to help shape the practice area, collaborate across ZS's R&D teams, and deliver excellent outcomes for clients.
What you'll do:
  • Partner with scientists, business stakeholders, and IT teams to translate scientific workflows and research needs into technical designs and practical solutions.
  • Define conceptual and logical data models, metadata standards, integration patterns, and system architecture components to support research data management and analytics.
  • Lead defined implementation workstreams from design through deployment, ensuring solutions are aligned with business needs, scientific workflows, and enterprise technology standards.
  • Apply hands-on experience with pharma datasets, cloud platforms, and cross-system integrations to improve research technology ecosystems.
  • Support research IT strategy, SDLC, and roadmap development by contributing technical recommendations, solution options, and implementation planning.
  • Collaborate with interdisciplinary teams, including scientists, data engineers, architects, business partners, and project managers, to integrate research technology and analytics into broader project objectives.
  • Translate scientific and business needs into structured technical requirements, solution designs, and roadmap inputs.
  • Support the design and implementation of ETL/ELT pipelines, cloud-native data platforms, APIs, and cross-system integrations.
  • Contribute to research data management initiatives, including data modeling, metadata strategy, FAIR data principles, and information architecture across biopharmaceutical research domains.
  • Support client readouts with evidence-based presentations, clearly communicating technical findings, solution recommendations, and next steps.
  • Mentor junior team members, share knowledge across teams, and contribute to a collaborative, high-quality delivery environment.

What you'll bring:
  • Bachelor's degree required; Master's degree strongly preferred, ideally in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a life science-related field; Advanced degree, including MS or PhD, in a scientific discipline with data and/or technology exposure is a plus.
  • At least 2.5 years of relevant professional experience in research technology, data platforms, pharma technology, consulting, biotech, pharma, or related environments.
  • Hands-on experience with pharma datasets, cloud platforms, and cross-system integrations.
  • Prior ownership of solution design components, including data models, integration patterns, technical requirements, or architecture documentation.
  • Experience bridging scientific and IT stakeholders and translating scientific workflows into technical solutions.
  • Experience with conceptual and logical data modeling, system architecture, metadata standards, and information architecture.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Understanding of RESTful APIs, ETL/ELT pipelines, and cross-system integration design.
  • Experience with lakehouse and cloud-native data platforms such as Databricks and Snowflake.
  • Understanding of research data management and FAIR principles.
  • Knowledge of how to interpret and enforce enterprise architecture and engineering standards.
  • Knowledge of research information management and analytics applications such as research LIMS systems, ELN platforms, Certara, Schrรถdinger, GeneData, Watson, or similar platforms is preferred.
  • Knowledge and experience in scientific data modeling or information architecture engineering across a range of biopharmaceutical research domains.
  • Evidence of strong commitment to quality and client satisfaction.
  • Excellent communication, presentation, and stakeholder management skills, with the ability to engage effectively with scientific, business, and IT audiences.
  • Passion, curiosity, and a growth mindset, coupled with a deep commitment to an open and collaborative working environment.
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

ZS logo

About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983