RIT Solutions
RIT Solutions

68 Rit Solutions Data Analyst Jobs Hiring Near You

Job Summary : RIT Solutions, Inc. is seeking a highly skilled Data Scientist to support a strategic engagement. This role involves analyzing complex datasets, building predictive models, and ...

... solutions, data files/extracts, and deliver insights to clients • Develop, implement, enhance, maintain existing Data visualization solutions • Self-motivated professional who can operate ...

Use SQL, join tables, pull out information from multiple databases and sources within client Should have knack to Client the data, analyse it and provide solutions. Data Analyst should possess ...

Use SQL, join tables, pull out information from multiple databases and sources within client Should have knack to client the data, analyse it and provide solutions. Data Analyst should possess ...

RIT Solutions, Inc. is seeking a QA Automation Engineer responsible for ensuring the quality and ... level data analytics and source code inspection when applicable. • Analyze test results and ...

Data Analyst * SME * MicroStrategy * Business Objects * Tableau TITLE: Data Analyst LOCATION ... We have been providing IT solutions to customers from different industry sectors, helping them ...

RIT Solutions, Inc. is seeking an AEP Developer to work on Adobe Experience Platform projects. The ... ensuring data quality and compliance across various analytics and reporting use cases.

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Client seeks to hire a Data Analyst resource to provide data analysis and management support. Must ... We have been providing IT solutions to customers from different industry sectors, helping them ...

Data Analyst Must have below: * Current Health Insurance Customer Experience * Hadoop/Big Data ... Strong demonstrated analytical skills applied to business software solutions maintenance and/or ...

Title: Data Analyst Must Have Below: 1. Current Health Insurance Customer Exp 2. Hadoop/Big Data ... solutions maintenance and/or development. Knowledge of the software development standards and ...

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RIT Solutions Jobs Information

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most popular categories at Rit Solutions?
Infographic showing various Data Analyst job openings at Rit Solutions in the United States as of May 2026, with employment types broken down into 3% Full Time, and 97% Contract. Highlights an 51% Physical, 23% Hybrid, and 26% Remote job distribution.
Data Scientist

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
RIT Solutions, Inc. is seeking a highly skilled Data Scientist to support a strategic engagement. This role involves analyzing complex datasets, building predictive models, and delivering data-driven insights to support federal initiatives and operational efficiency.
Responsibilities:
• Analyze large and complex structured/unstructured datasets
• Develop predictive and statistical models to solve business problems
• Build machine learning models and data pipelines
• Create dashboards, reports, and visualizations for stakeholders
• Collaborate with cross-functional teams including engineering, analytics, and client stakeholders
• Ensure compliance with federal data security and governance standards
• Present insights and recommendations to technical and non-technical audiences
Qualifications:
Required:
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• 5+ years of experience in Data Science or Analytics
• Strong experience with Python, R, SQL, and data visualization tools
• Experience with Machine Learning frameworks and statistical analysis
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Strong communication and problem-solving skills
Preferred:
• Experience working with federal/government clients preferred
• Experience with big data technologies is a plus
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in , the company is headquartered in Arlington, Virginia, US, , with a team of 201-500 employees. The company is currently Growth Stage.