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Data Analyst R Programmer Jobs in Baltimore, MD (NOW HIRING)

Two (2) years of experience data ingestion technologies with reference to relational databases (i.e ... Knowledge of Revolution Analytics (R) or similar analytics tools. * Proven ability to work with ...

The Analyst will gather data and analyze compensation trends in the external market, make ... Our commitment and inclusive programming aim to lift the experience for each associate and builds ...

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

Collaborate with cybersecurity, network engineering, infrastructure, and program management teams ... Strong data analysis skills with the ability to assess large datasets for accuracy, completeness ...

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Data Analyst R Programmer information

See Baltimore, MD salary details

$20

$46

$68

How much do data analyst r programmer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data analyst r programmer in Baltimore, MD is $46.18, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $56.15 per hour, depending on experience, location, and employer.

What is a data analyst R programmer?

Data Analyst R Programmers are professionals who use the R programming language to collect, process, and analyze data for organizations. They specialize in cleaning datasets, performing statistical analyses, creating data visualizations, and generating actionable insights to help guide business decisions. Their expertise in R allows them to automate data workflows, build predictive models, and effectively communicate findings to stakeholders. Data Analyst R Programmers often work in industries such as finance, healthcare, marketing, and technology, where data-driven decision-making is essential.

How does a data analyst R programmer typically collaborate with other teams, such as business or IT departments?

Data Analyst R Programmers often serve as a bridge between technical and non-technical teams by translating complex data findings into actionable insights. They work closely with business stakeholders to understand data requirements and with IT teams to ensure data integrity and accessibility. Collaboration usually involves regular meetings, sharing reports, and sometimes creating dashboards or visualizations tailored to different audiences. This cross-functional teamwork helps drive data-driven decision making across the organization.

What are the key skills and qualifications needed to thrive as a data analyst R programmer, and why are they important?

To thrive as a Data Analyst R Programmer, you need strong analytical skills, a solid understanding of statistical methods, and proficiency in R programming, often supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools (like ggplot2), data management systems, and platforms such as SQL or Excel is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and sharing insights. These capabilities are vital for transforming complex data into actionable business intelligence and supporting data-driven decision-making.

Are data analyst R programmers in demand?

Data analyst R programmers are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in R programming, data visualization, and statistical analysis are highly valued, with job opportunities growing in sectors such as finance, healthcare, and technology.

Do data analysts use R programming?

Data analysts often use R programming as it is a popular tool for data manipulation, statistical analysis, and visualization. Proficiency in R can enhance a data analyst's ability to handle complex datasets and perform advanced analytics efficiently.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting results, making strategic decisions, and providing context. The role of a data analyst involves critical thinking, domain knowledge, and communication skills that are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to replace data analysts entirely.
Infographic showing various Data Analyst R Programmer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,062 per year, or $46.2 per hour.

SAS Programmer Analyst

Baltimore, MD โ€ข On-site

Spruce Infotech
IT Servicesย โ€ขย 1 - 10 employees

Other

Re-posted 19 days ago


Job description

Spruce InfoTech is the leading service provider in the fields of project management, architecture design, installation, implementation and administration of EPM and BI projects. Our team of experts provide with proven industry solutions that help our clients to have better understanding of the business and aides in decision making. We provide our clients with various services that help them to manage, control and transform their businesses by employing new age technology solutions that are cost effective and productive in nature. Our team members have huge experience in different types of enterprise solutions like that of Oracle Enterprise Performance Management (aka Hyperion), OBIEE and TIBCO.

Job Description

No of Positions : 5

Essential Job Functions & Responsibilities
  • Provide technical and development support to the government client to build and maintain a stable and scalable infrastructure, in support of the Fraud Analysis project.
  • Design and prepare technical specifications. Assist in project artifact documentation in business requirement documents, functional specs, flow charts and system architectures source to target mappings etc.
  • Enable governments plan, design, development, validation, integration, and implementation Fraud analysis or any related applications.
  • Oversee business/user requirements efforts as part of a full systems development lifecycle and provide critical technical recommendations/solutions for complex problems.
  • Direct the business process engineering and/or business/user requirements efforts for major projects.
  • Lead and/or direct the efforts of specialists on project(s) across components and/or technical areas.
  • Act as self-starter with the ability to take on complex projects and analyses independently.
Required Qualifications
  • Three (3) years of experience working with the SAS products Enterprise Guide, Enterprise Miner, Office Analytics, EDI etc.
  • Two (2) years of experience with SAS visual analytics tool.
  • Two (2) years of experience data ingestion technologies with reference to relational databases (i.e. DB2, Oracle, SQL).
  • One (1) year of experience using Hadoop ecosystem - HDFS, MapReduce, YARN, HBase, Hive and Pig.
  • One (1) year of experience with the inherited DataFlux Data Management Studio.
Education Requirements
  • Masterโ€™s Degree or higher with 12 years of relevant experience
  • Equivalent Education and Experience:
  • Bachelorโ€™s degree with 14 years of relevant experience
  • Associateโ€™s degree with 16 years of relevant experience
Desired Qualifications
  • Experience with object oriented programming in core java, JEE technologies and related libraries - JDBC/Hibernate, JMS and Spring.
  • Experience with Apache Hadoop Administration (Preferred Cloudera Framework).
  • Experience with Linux Administration (Centos and Red Hat).
  • Experience with statistical modelling tools.
  • Experience with Data Presentation/Visualization tools (e.g. Tableau or QlikView).
  • Knowledge of Revolution Analytics (R) or similar analytics tools.
  • Proven ability to work with senior technical managers and staff to provide expert-level support for the installation, maintenance, upgrading, and administration of full-featured database management systems.
  • Knowledge of leading-edge technologies, new methodologies, and best practices applicable to work performed.
  • Experience with development methodologies using different software languages.
  • Knowledge of SSAโ€™s Enterprise Architecture.
  • Experience with Section 508 Compliance.
Qualifications
  • Masterโ€™s Degree or higher with 12 years of relevant experience
  • Bachelorโ€™s degree with 14 years of relevant experience
  • Associateโ€™s degree with 16 years of relevant experience
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