Data Analyst Jobs
Data Analyst jobs are open across finance, healthcare, retail, technology, and government at every level from entry-level to senior and lead, with specializations in business intelligence, marketing analytics, and product analytics. Find a role that fits from the openings below and apply directly.
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Showing 5 of 3,631+ Data Analyst jobs
We are looking for a Data Analyst to work with our team and our clients to architect and develop data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. We are looking for more than just a "Data Analyst", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions:- Work on migration of data environments with performance and reliability.
- Assess, understand, and document data sources
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Experience working with database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets – data modeling, data understanding
- You will be part of our Data Exploitation Practice!
- Ability to hold a position of public trust with the US government.
- 0-2 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams
- 0-2 years of experience collaborating with management, personas, and engineers to support data quality efforts
- Experience with large-scale data migration
- Experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines
- Experience designing data platforms for user consumption
-
Experience supporting the development of related data artifacts
- Data Dictionary
- Entity Relationship Diagrams
- Data Flow Diagram
- Data Quality Plan
- Data Management Plan
- Data Asset Catalog
- Experience with relational SQL and NoSQL databases
- Familiarity with cloud technology, using AWS or Azure. Knowledge of managed service offerings (e.g. AWS EC2, EMR, RDS, Redshift)
- Experience developing specifications for modern large-scale data repositories including development of specifications for cloud-based database solutions
- Familiarity with FIPS 140-2 compliant encryption to both stored data and data in motion
- Understand customer requirements and prioritize for maximum customer / user experience.
- Experience working with software and data science teams to operationalize information
- Experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors at all levels
- Experience working in an agile environment
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
Identity Statement
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
We are looking for a Data Analyst to work with our team and our clients to architect and develop data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. We are looking for more than just a "Data Analyst", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions:- Work on migration of data environments with performance and reliability.
- Assess, understand, and document data sources
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Experience working with database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets – data modeling, data understanding
- You will be part of our Data Exploitation Practice!
- Ability to hold a position of public trust with the US government.
- 0-2 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams
- 0-2 years of experience collaborating with management, personas, and engineers to support data quality efforts
- Experience with large-scale data migration
- Experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines
- Experience designing data platforms for user consumption
-
Experience supporting the development of related data artifacts
- Data Dictionary
- Entity Relationship Diagrams
- Data Flow Diagram
- Data Quality Plan
- Data Management Plan
- Data Asset Catalog
- Experience with relational SQL and NoSQL databases
- Familiarity with cloud technology, using AWS or Azure. Knowledge of managed service offerings (e.g. AWS EC2, EMR, RDS, Redshift)
- Experience developing specifications for modern large-scale data repositories including development of specifications for cloud-based database solutions
- Familiarity with FIPS 140-2 compliant encryption to both stored data and data in motion
- Understand customer requirements and prioritize for maximum customer / user experience.
- Experience working with software and data science teams to operationalize information
- Experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors at all levels
- Experience working in an agile environment
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
Identity Statement
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.
Data Analyst Jobs by Experience Level
Top Cities Hiring Data Analysts
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Find Data Analyst JobsData Analyst Job Market
Who's Hiring
- Deloitte33
- JPMorganChase33
- Guidehouse25
- Spectrum22
- Lockheed Martin22
Top Industries Hiring
- Technology & Software47
- Healthcare & Medical Services33
- Consulting & Professional Services18
- Education15
- Banking & Financial Services11
What Employers Look For
The qualifications that appear most often in data analyst jobs.
- Proficiency in SQL for querying and transforming relational databases
- Experience with at least one BI tool such as Tableau, Power BI, or Looker
- Ability to work with Python or R for data cleaning and analysis
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Familiarity with Excel or Google Sheets for ad hoc analysis and reporting
- Experience communicating findings to non-technical stakeholders through data visualization
Tips for Your Data Analyst Job Search
Tailor your resume to each stack
Data analyst job listings vary sharply in the tools they require. Pull the exact SQL dialect, BI platform, and programming language from each posting and mirror that language in your resume bullets so your application clears automated screening for that specific role.
Quantify impact, not just tasks
Hiring managers skip bullets that describe what you did and stop at bullets that show what changed. Rewrite each resume line to state a business outcome: reduced churn, improved forecast accuracy, cut reporting time. Specificity matters more than scale.
Build a public portfolio before applying
Many data analyst roles ask for a work sample or case study during screening. A GitHub repo or public dashboard with one well-documented project on a real dataset gives you something concrete to share before the interview stage, not scrambling for it during.
Apply early to roles that fit
Migrate Mate lists data analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a SQL walkthrough for interviews
Most data analyst technical interviews include a live SQL problem. Practice writing window functions, CTEs, and aggregations out loud, explaining your reasoning as you go. Interviewers weight communication of your query logic as heavily as whether the query runs correctly.
Negotiate with benchmark data in hand
Before accepting an offer, look up the role's compensation range in Bureau of Labor Statistics occupational data for your metro area. Entering a negotiation with a named external reference shifts the conversation from opinion to market fact and gives you a defensible floor.
Data Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data analysts?
The companies hiring the most data analysts right now include Deloitte, JPMorganChase, and Guidehouse, with the largest share of openings in Texas, California, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is concentrated in financial services, healthcare systems, and large technology employers with dedicated analytics functions.
How many data analyst jobs are remote?
About 80% of data analyst openings are fully remote or hybrid as of November 2026, making it one of the more flexible roles in the broader data field. Business intelligence and marketing analytics positions tend to be the most remote-eligible, while roles tied to operations or on-site data infrastructure typically require in-person work.
How do you become a data analyst?
You become a data analyst by building core competency in SQL and one visualization tool, then demonstrating that skill on real data through a portfolio project. Most hiring managers look for a relevant degree or a structured certificate program, followed by hands-on experience, whether through an internship, freelance project, or internal role transition, before considering candidates for full-time positions.
How do you get a data analyst job with little or no experience?
You can get a data analyst job with little experience by targeting entry-level or associate titles, which often accept candidates who show strong SQL fundamentals and at least one completed project on a public dataset. Roles in smaller companies, nonprofits, or internal reporting teams tend to have lower experience floors than positions at large enterprises with dedicated data science organizations.
What does the data analyst interview process look like?
The data analyst interview process typically moves through a recruiter screen, a take-home or live SQL assessment, a case study or dashboard review, and a final panel with hiring managers and cross-functional stakeholders. Some employers add a presentation round where you walk through your analysis approach and explain findings as you would to a business audience without a technical background.
Where can I find and apply to data analyst jobs?
You can find and apply to data analyst jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your experience, tools, and preferred location, then apply directly to each one that fits.
See All 3,631+ Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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