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Data Analyst Positions Jobs (NOW HIRING)

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

Position Overview ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and ...

SA Technologies Inc.

Sr.Data Analyst

Pasadena, CA · On-site

$93K - $118K/yr

Data Analyst position helps analyze business information and reporting needs. Access existing data sources and analyze logical and physical information in domain data marts. Daily responsibilities:

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Data Analyst Positions information

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How much do data analyst positions jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst positions in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Positions vs Data Scientist Positions?

AspectData Analyst PositionsData Scientist Positions
Required CredentialsBachelor's degree in statistics, mathematics, or related field; proficiency in Excel, SQL, and visualization toolsBachelor's or master's degree in computer science, statistics, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentBusiness settings, focusing on data reporting, visualization, and basic analysisResearch and development environments, focusing on predictive modeling, advanced analytics, and algorithm development
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsOften found in tech companies, research institutions, and large enterprises with data science teams

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to inform business decisions, whereas Data Scientists develop models and algorithms to predict future trends. The roles overlap but differ in complexity, tools, and scope.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and effective communication of findings are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present insights clearly.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, or operations analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R. These roles are common across industries including finance, healthcare, marketing, and technology.
What cities are hiring for Data Analyst Positions jobs? Cities with the most Data Analyst Positions job openings:
What are the most commonly searched types of Data Analyst Positions jobs? The most popular types of Data Analyst Positions jobs are:
Infographic showing various Data Analyst Positions job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Migration Analyst

Masai Technologies Corporation

Frederick, MD • Remote

$95K - $120K/yr

Full-time

Re-posted 29 days ago

Job description

MTC is based in Frederick, Maryland and provides systems integration services to the U.S. Federal Government by implementing both Cloud based ServiceNow platform as a service (PaaS) software and application plugin software, Nuvolo, for Integrated Workplace Management System (IWMS) functionality. The IWMS solution will meet the current and future needs of the Public Sector/federal agencies by providing critical administrative digitized workflow activities for Facilities Asset Management, Space Management, Capital Project Management, and other related workplace management business processes.  The Legacy Data Migration Analyst position detail is below. 
 
If You are interested and You qualify, please reply with all:   
1) updated Resume   2) W2 Salary Range  3) Availability day/times to interview  4) Best Contact phone#
 
Position: Data Migration Analyst Duties:
 
Duration:  2 – 7 years based upon renewal
 
Location:           Primarily a remote position with periodic quarterly onsite meetings in Frederick, MD and Bethesda, MD
 
Start:                    Immediate
 
 
Job Description: 
Perform Data analysis, data validation, and data migration and data integration analysis efforts with a focus on analyzing, verifying, and validating the requirements for moving data received from current Legacy NIH Systems data owner and performing Data Validation before data is loaded to the Service Now-Nuvolo application instance. Also, supporting the data analysis of data interface requirements for ongoing integration. 
 
Data will be provided by legacy system data owners and Data Analyst will support requirements elicitation, data mapping workshops, Agile Development Increments/Sprints and Demos, User Acceptance Testing, Training, and Production Deployments. Create / Update Data models and datasets based upon the ServiceNow-Nuvolo application design requirements.
 
Perform data management using manual and automated methods using Microsoft Excel for pre-import data tasks (data migrations, minor cleansing, and transformation) prior to loading into target ServiceNow-Nuvolo system. The Legacy System Data Owner is responsible for data cleaning including data formatting, normalization, duplicate removal, etc. 
 
Data Analyst provides data validation and minor corrections, and generates queries, reports, risk analysis, and other random tasks to support the project team. Must create Agile user stories describing requirements for data migration from legacy system