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Data Analyst R Jobs in Massachusetts (NOW HIRING)

Tufts University

Data Analyst - Admissions

Medford, MA · On-site

$60K - $90K/yr

Implement and support the office's strategy for data collection, analysis, and presentation ... Experience with statistical software, such as R, State, SPSS, or other tools. * Demonstrated ...

Workhuman

Principal Data Analyst - Pricing

Framingham, MA · On-site

$150K - $175K/yr

Strong SQL skills and experience working with large datasets; familiarity with Python or R for analysis is a plus * Experience building data models and dashboards to support self-service analytics ...

Judit Inc

Data Scientist

Lexington, MA · Hybrid

Data Analysis * R, Python, SQL, and Machine Language Algorithms and Data Analysis. Degree Level * Bachelor's Degree Experience * Currently holds a Secret Clearance (OR a higher clearance)

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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.

What are popular job titles related to Data Analyst R jobs in Massachusetts? For Data Analyst R jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Data Analyst R jobs in Massachusetts look for? The top searched job categories for Data Analyst R jobs in Massachusetts are:
Data Analyst R jobs near you
Data Analyst I (Vascular Cell Biology)

Data Analyst I (Vascular Cell Biology)

Joslin Diabetes Center

Boston, MA • On-site

$66K/yr

Full-time

Posted 26 days ago

Job description

Overview
We are seeking a detail-oriented and methodical Data Analyst I to support clinical and translational research studies through data management, quality control, and statistical analysis and reporting. The Data Analyst will work collaboratively with investigators, senior analytical staff, and clinical teams to assist with maintaining high-quality research datasets and supporting ongoing clinical research projects.
This is an entry-level position ideal for candidates interested in clinical research, epidemiology, biostatistics, or healthcare data analytics.
This role is fully onsite in Boston, MA.
As a health care organization, we have the responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities. Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.
Responsibilities
  • Assist with data collection, cleaning, validation, and maintenance for clinical research studies.
  • Perform routine data quality checks and resolve discrepancies under supervision.
  • Manage and update study databases, including REDCap and Excel-based tracking systems.
  • Generate tables, figures, and reports for abstracts, manuscripts, grant applications and presentations.
  • Support data extraction and organization from electronic health records (EHR), surveys, laboratory systems, and research databases.
  • Perform routine statistical analyses for clinical research studies using appropriate methodologies under the guidance of investigators and senior analytical staff.
  • Maintain accurate documentation including data dictionaries, coding manuals, and standard operating procedures.
  • Assist investigators and research staff with data requests and study tracking.
  • Ensure secure handling of confidential research data in compliance with HIPAA, IRB, and institutional policies.
  • Participate in research meetings and contribute to study operations and data management activities.
  • Collaborate with senior analysts and biostatisticians on data preparation for manuscripts, abstracts, and presentations.
  • Other duties as assigned.

Qualifications
  • Bachelor's degree in Public Health, Epidemiology, Statistics, Biostatistics, Data Science, or related field
  • Minimum 1 year experience in clinical research, healthcare analytics or research data management
  • SAS certification preferred
  • Proficiency in statistical software, mainly SAS / R.
  • Experience working with REDCap and/or clinical research databases.
  • Experience in using data visualization & reporting tools.
  • Knowledge of statistical methods commonly used in clinical and epidemiologic research.
  • Strong analytical and organizational skills with attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple assignments and meet deadlines.

The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.
(Min)
USD $66,500.00/Yr.
(Max)
USD $80,000.00/Yr.

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