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Data Analyst R Jobs in Massachusetts (NOW HIRING)

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Workforce Data Analyst

Boston, MA ยท On-site

$161K - $185K/yr

Workforce Data Analyst (State Street Bank and Trust Company; Boston, MA): Help State Street ... R, and/or Tableau Prep to combine multiple data sources and manipulate or restructure data; leading ...

Data Analyst

Boston, MA ยท On-site

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

HDS Senior Data Analyst

Somerville, MA ยท On-site

$93K - $118K/yr

The role requires strong expertise in Snowflake SQL, Python, and R, with an emphasis on reproducible, well-documented analytical workflows. In addition, the Senior Data Analyst will serve as a ...

Develop, maintain, document, and optimize analytical code, data pipelines, and data science products using Python, R, SQL, and other applicable technologies while adhering to established coding and ...

New

Sr Data Analyst/Data Analyst

Sudbury, MA ยท On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

HDS Senior Data Analyst

Somerville, MA ยท On-site

$93K - $118K/yr

The role requires strong expertise in Snowflake SQL, Python, and R, with an emphasis on reproducible, well-documented analytical workflows. In addition, the Senior Data Analyst will serve as a ...

Sr Data Analyst/Data Analyst

Sudbury, MA ยท On-site

$74K - $112K/yr

The Data Analyst serves as a key analytical resource within the office of the COO, responsible for ... Experience with Python, R, or similar analytical programming languages. * Familiarity with ERP/CRM ...

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry

Jr People Data Analyst

Boston, MA ยท On-site

$112K - $149K/yr

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry ...

Jr People Data Analyst

Boston, MA ยท On-site

$112K - $149K/yr

ABOUT THE TEAM The People Analytics team is at the forefront of transforming how we understand and ... Familiarity with Python or R for basic data manipulation tasks. * Familiarity with Palantir Foundry ...

Senior Transportation Data Analyst

Boston, MA ยท On-site

$98K - $148K/yr

Data manipulation skills using various scripting languages like Python or R. * Strong ETL process ... Minimum of 3+ years of experience with advanced analytics in the engineering/transportation ...

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Data Analyst R information

What is the highest paying data analyst job?

Senior data analyst roles, especially those involving advanced skills in machine learning, big data tools, and business intelligence platforms, tend to offer the highest salaries for data analysts. Positions in finance, technology, and consulting industries often provide higher compensation, with some senior or specialized roles earning over $100,000 annually depending on experience and location.

What is a Data Analyst R job?

A Data Analyst R job involves analyzing and interpreting data using the R programming language. Professionals in this role collect, clean, and process data, then apply statistical techniques and visualizations to extract insights. They work with databases, create reports, and support decision-making in business, healthcare, finance, or other industries. Proficiency in R, SQL, and data visualization tools is essential.

Can you use R for data analysis?

Data Analysts often use R for data analysis because it offers extensive statistical and graphical capabilities, along with a wide range of packages for data manipulation and visualization. Proficiency in R can enhance a data analyst's ability to interpret complex datasets and generate insights efficiently.

What are the key skills and qualifications needed to thrive in the Data Analyst R position, and why are they important?

To excel as a Data Analyst R, candidates require strong analytical abilities, proficiency in statistical modeling, and a solid background in mathematics or related fields, often supported by a relevant degree. Expertise in the R programming language, knowledge of data visualization libraries, and experience with database querying (such as SQL) are commonly expected; certifications in data analysis or R programming can be advantageous. Attention to detail, critical thinking, and effective communication skills help data analysts translate complex data insights into actionable business recommendations. These competencies enable Data Analyst R professionals to accurately interpret data, efficiently support business decisions, and foster collaboration across departments.

Is R important for data analysts?

R is an important tool for data analysts as it provides extensive statistical and data visualization capabilities. Proficiency in R can enhance data analysis, modeling, and reporting skills, making it a valuable skill in many data-focused roles.

Do data analysts still use R?

Data analysts still use R as it remains a popular programming language for statistical analysis, data visualization, and data manipulation. Many organizations value R for its extensive package ecosystem and open-source nature, often alongside tools like Python and SQL. Proficiency in R can enhance a data analyst's ability to perform complex analyses and communicate insights effectively.

What does a typical day look like for a Data Analyst R, and how do they work with other teams?

A Data Analyst R typically spends their day extracting, cleaning, and analyzing large datasets using R, generating reports, and building data visualizations to communicate findings. Collaboration is a key aspect, as analysts often work closely with business stakeholders, IT teams, and fellow analysts or data scientists to define project objectives and interpret results. Regular meetings, presentation of findings, and participation in problem-solving discussions are common parts of the workflow. This collaborative, dynamic environment helps ensure that data-driven insights effectively support organizational goals and decision-making processes.

Infographic showing various Data Analyst R job openings in Massachusetts as of July 2026, with employment types broken down into 67% Full Time, 6% Part Time, 3% Temporary, and 24% Contract. Highlights an 61% Physical, 6% Hybrid, and 33% Remote job distribution.
Data Analyst

Other

Posted 5 hours ago


Job description

Sr Data Analyst

Onsite

Perm

85-115k (some flex)

US cit /Perm residents

The Senior Data Analyst serves as a key analytical resource within the office of the COO, responsible for transforming complex data into strategic insights that drive business performance. This role leads the design, development, and maintenance of enterprise reporting, dashboards, and data models across sales, aftermarket services, and SIOP (Sales, Inventory & Operations Planning) functions. The Senior Data Analyst partners with cross-functional leadership to deliver data-driven recommendations that support revenue growth, operational efficiency, and continuous improvement initiatives.
Key Responsibilities:

  • Lead the collection, integration, and analysis of data from CRM, ERP, and other enterprise systems to support sales performance, aftermarket services, and SIOP planning cycles.
  • Design and maintain advanced dashboards and reports that track KPIs across new equipment sales, aftermarket parts and service revenue, and demand forecasting accuracy.
  • Serve as the primary analytics partner for SIOP processes, providing demand/supply data analysis, forecast variance reporting, and scenario modeling to support executive decision-making.
  • Develop and standardize aftermarket analytics, including service contract utilization, parts consumption trends, and customer lifecycle metrics.
  • Perform complex statistical analyses to identify trends, patterns, and opportunities for revenue optimization and operational improvement.
  • Ensure data integrity, governance, and consistency across all reporting platforms through rigorous validation, quality assurance, and documentation practices.
  • Collaborate with Sales, Operations, Finance, and Aftermarket leadership to translate business requirements into scalable, automated reporting solutions.
  • Lead ad hoc analytical projects and present findings and recommendations to senior management and executive stakeholders.

Required Qualifications & Skills:

  • Education: Bachelor''s degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related discipline (or equivalent combination of education and experience).
  • Experience: 3โ€“7 years of progressive experience in data analysis, business intelligence, or analytics, preferably within a manufacturing, distribution, or industrial sales environment.

Technical Skills:

  • Advanced proficiency in Excel, Power BI, Tableau, or equivalent data visualization platforms.
  • Strong working knowledge of SQL for complex data extraction, transformation, and manipulation.
  • Experience with Python, R, or similar analytical programming languages.
  • Familiarity with ERP/CRM systems (e.g., Infor CSI, Salesforce, ServiceNow, SAP, or similar) and SIOP/S&OP planning tools.

Soft Skills:

  • Demonstrated ability to synthesize complex data into clear, actionable insights for both technical and non-technical audiences.
  • Strong critical thinking, problem-solving, and strategic analysis capabilities.
  • Excellent organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Proven track record of cross-functional collaboration and stakeholder management.

Supervisory Responsibilities:

  • None (mentorship of junior analysts expected).

Travel Requirements:

Minimal; occasional travel to regional facilities may be required