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Data Analytics Associate Jobs in Massachusetts (NOW HIRING)

IMP Consulting

Associate Analyst

Boston, MA · 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 ...

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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 21, 2026, the average monthly pay for data analytics associate in Massachusetts is $6,870.08, according to ZipRecruiter salary data. Most workers in this role earn between $6,233.33 and $7,325.00 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.

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.

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 most commonly searched types of Data Analytics jobs in Massachusetts?

The most popular types of Data Analytics jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Analytics Associate jobs?

Cities in Massachusetts with the most Data Analytics Associate job openings:

Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,441 per year, or $39.6 per hour.

Data Operations & Analytics Associate

Careers at KKR

Boston, MA • Hybrid

Full-time

Re-posted 7 days ago

Job description

POSITION SUMMARY

KKR is hiring for an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operations Center of Excellence (CoE) is a cross-functional team dedicated to formulating and driving KKR's enterprise data strategy while also providing the operating leverage required to bring these strategies and frameworks to life.

We are hiring an Associate / Senior Analyst within the Data Operations CoE focused on Data & Analytics. This individual will sit at the intersection of business and technology, combining strong data analytics capabilities with a solid understanding of private markets and credit to deliver insights, reporting, and data solutions that support investment and operational decision-making across the firm.

The ideal candidate brings 4+ years of experience in data analytics or data science. They are comfortable partnering with both business stakeholders and technology teams to translate complex business requirements into scalable, data-driven solutions. A genuine interest in private markets, credit, and alternative investments is essential, and experience applying AI and automation to improve workflows is a strong plus.

RESPONSIBILITIES

  • Data Analytics & Insights: Design, build, and maintain analytical models, dashboards, and reporting solutions that support private markets and credit investment teams, translating complex data into clear and actionable insights
  • Business Partnership: Serve as a key liaison between business stakeholders and technology teams, gathering requirements, defining analytical use cases, and ensuring delivered solutions meet business needs
  • SQL & Data Development: Write and optimize complex SQL queries to extract, transform, and analyze data across multiple sources and platforms, ensuring data quality and consistency
  • Cross-Functional Collaboration: Partner closely with data engineering, technology, and operations teams to design and implement scalable data pipelines, integrations, and infrastructure that underpin analytics and reporting
  • Private Markets & Credit Support: Develop domain expertise in private markets and credit data, including deal, portfolio, fund, and investor data, and apply that knowledge to improve data coverage, quality, and analytical depth
  • Process Improvement & Automation: Identify opportunities to streamline manual workflows, automate repetitive tasks, and improve the efficiency and reliability of data processes across the team
  • AI & Innovation: Explore and apply AI tools, large language models, and emerging technologies to enhance analytical workflows, accelerate reporting, and unlock new capabilities for the business

QUALIFICATIONS

  • 4+ years of experience in data analytics, data science, or a related field
  • Proficiency in SQL with demonstrated ability to write complex queries, build data models, and work across large-scale datasets
  • Hands-on experience with Snowflake (or equivalent cloud data warehouse) and BI/reporting tools (e.g., Power BI, Sigma, Tableau)
  • Working knowledge of Python with the ability to read, interpret, and contribute to Python-based data pipelines and analytical scripts
  • Experience partnering with data engineering or technology teams to design, build, and operationalize data solutions
  • Demonstrated ability to work in business-facing roles, translating stakeholder needs into analytical frameworks, reports, and data products
  • Strong communication and presentation skills, with the ability to convey technical findings to non-technical audiences
  • Intellectual curiosity and interest in private markets, credit, and alternative investments
  • Strong problem-solving skills with a proactive, self-starter mindset and high attention to detail
  • Strong cultural fit (teamwork, results-oriented, proactive, and high integrity)

PREFERRED QUALIFICATIONS

  • Direct experience in private markets, credit, or alternative investment data and analytics
  • Hands-on experience applying AI, machine learning, or large language models to improve business workflows and data processes
  • Background in financial services, asset management, or fintech
  • Working understanding of dbt (data build tool) for managing data transformations, building modular analytics pipelines, and maintaining well-tested, version-controlled data models
  • Experience with version control systems (e.g., Git) and collaborative development workflows

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