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Revolution Analytics Jobs (NOW HIRING)

Revolution

Manufacturing Operations Analyst

Vernon, CA · On-site

$80K - $100K/yr

Exposure to AI, automation, or scripting tools such as Python or predictive analytics * Bilingual English/Spanish highly valued Why Join Revolution? * Opportunity to make a measurable impact within a ...

Revolution Space

Sr. Financial Analyst, FP&A

Boston, MA · On-site

$135K - $155K/yr

About Revolution Space At Revolution Space we're building advanced space systems for the 21st ... Revolution Space is currently seeking a Senior FP&A Analyst. The role involves financial planning ...

Revolution Space

Sr. Financial Analyst, FP&A

$135K - $155K/yr

About Revolution Space At Revolution Space we're building advanced space systems for the 21st ... Revolution Space is currently seeking a Senior FP&A Analyst. The role involves financial planning ...

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$64.5K

$125.3K

$179K

How much do revolution analytics jobs pay per year?

As of Jun 6, 2026, the average yearly pay for revolution analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is the difference between Revolution Analytics vs Data Scientist?

AspectRevolution AnalyticsData Scientist
Required CredentialsTypically requires a background in statistics, data analysis, or computer science; familiarity with R and analytics toolsRequires degrees in statistics, computer science, or related fields; proficiency in programming languages like Python, R, and SQL
Work EnvironmentPrimarily in analytics or data-focused teams within organizations, often in tech, finance, or healthcare sectorsIn diverse industries including tech, finance, healthcare, and consulting; often in collaborative, research-driven settings
Employer & Industry UsageUsed by companies implementing advanced analytics and data modeling, especially those utilizing Revolution Analytics softwareEmployed across industries for data analysis, predictive modeling, and machine learning projects

Revolution Analytics professionals focus on deploying analytics solutions using specific software tools, while Data Scientists have broader roles involving data exploration, modeling, and insights across various platforms. Both roles require strong analytical skills, but Data Scientists often have a wider scope in data manipulation and machine learning.

What is Revolution Analytics?

Revolution Analytics is a company that specialized in providing software, services, and support for the R programming language, which is widely used for statistical computing and data analysis. Founded in 2007, Revolution Analytics developed 'Revolution R', an enhanced distribution of R designed for enterprise use, including features for big data and advanced analytics. In 2015, Microsoft acquired Revolution Analytics, and its technology has since been integrated into Microsoft’s data platforms, such as Microsoft R Server (now Microsoft Machine Learning Server). Revolution Analytics played a significant role in popularizing R for business and large-scale analytics.

How does a professional at Revolution Analytics typically collaborate with data scientists and IT teams to implement analytical solutions?

At Revolution Analytics, professionals often work closely with data scientists to understand analytical objectives and select appropriate statistical methods using R. Collaboration with IT teams is also key, as they help integrate these solutions into existing systems and ensure they are scalable and secure. Regular meetings, shared documentation, and cross-functional project teams are common practices to facilitate smooth communication and project delivery. This collaborative environment ensures that analytical solutions are both robust and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Data Analyst using Revolution Analytics software, and why are they important?

To thrive as a Data Analyst using Revolution Analytics, you need a solid background in statistics, data analysis, and programming (especially in R), often supported by a degree in a quantitative field. Familiarity with Revolution R Enterprise, distributed computing platforms, and related data visualization or ETL tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for extracting actionable insights from large datasets and conveying findings to stakeholders for data-driven decision-making.
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Revolution Analytics jobs near you
Infographic showing various Revolution Analytics job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
SAS Programmer Analyst

SAS Programmer Analyst

Spruce Infotech Inc

Baltimore, MD • On-site

Contractor

Posted 13 hours ago

Job description

Company 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

Title : SAS Programmer Analyst

Location : Baltimore, MD

No of Positions : 5

Essential Job Functions & Responsibilities:

o 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.

o 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.

o Enable governments plan, design, development, validation, integration, and implementation Fraud analysis or any related applications.

o Oversee business/user requirements efforts as part of a full systems development lifecycle and provide critical technical recommendations/solutions for complex problems.

o Direct the business process engineering and/or business/user requirements efforts for major projects.

o Lead and/or direct the efforts of specialists on project(s) across components and/or technical areas.

o Act as self-starter with the ability to take on complex projects and analyses independently.


Required Qualifications:

o Three (3) years of experience working with the SAS products Enterprise Guide, Enterprise Miner, Office Analytics, EDI etc.

o Two (2) years of experience with SAS visual analytics tool.

o Two (2) years of experience data ingestion technologies with reference to relational databases (i.e. DB2, Oracle, SQL).

o One (1) year of experience using Hadoop ecosystem - HDFS, MapReduce, YARN, HBase, Hive and Pig.

o One (1) year of experience with the inherited DataFlux Data Management Studio.

Education Requirements:

o Master's Degree or higher with 12 years of relevant experience

Equivalent Education and Experience:

o Bachelor's degree with 14 years of relevant experience

o Associate's degree with 16 years of relevant experience

Desired Qualifications:

o Experience with object oriented programming in core java, JEE technologies and related libraries - JDBC/Hibernate, JMS and Spring.

o Experience with Apache Hadoop Administration (Preferred Cloudera Framework).

o Experience with Linux Administration (Centos and Red Hat).

o Experience with statistical modelling tools.

o Experience with Data Presentation/Visualization tools (e.g. Tableau or QlikView).

o Knowledge of Revolution Analytics (R) or similar analytics tools.

o 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.

o Knowledge of leading-edge technologies, new methodologies, and best practices applicable to work performed.

o Experience with development methodologies using different software languages.

o Knowledge of SSA's Enterprise Architecture.

o Experience with Section 508 Compliance.



Qualifications

o Master's Degree or higher with 12 years of relevant experience

o Bachelor's degree with 14 years of relevant experience

o Associate's degree with 16 years of relevant experience

Additional Information

No of Positions : 5

Urgent

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