Career field
Data & Analytics Jobs in the USA
Data and analytics jobs turn raw records into decisions. Analysts clean data, build reports and dashboards, and answer questions such as why sales dropped in one region or which marketing channel brings the best customers. Data engineers build the pipelines and warehouses that keep that data reliable, and data scientists use statistics and modeling to forecast and test ideas. Nearly every industry hires for these skills, including retail, healthcare, finance, logistics, government and sports, so you can combine analytics with a field you already know. SQL is the common language across almost all of these roles, usually paired with a spreadsheet tool, a visualization tool such as Tableau or Power BI, and often Python or R. Employers care about clear communication as much as technical skill: an analyst who can explain a finding in plain English to a manager is more valuable than one who can only write queries. The live listings below show current openings across analyst, engineer and scientist titles.
Updated
Latest data & analytics job openings
Common data & analytics job titles
Select a title to search current openings.
Skills employers ask for
Skills that appear often in postings for this field. Check each posting for its exact requirements.
- SQL
- Excel or Google Sheets (pivot tables, lookups)
- Tableau, Power BI or Looker
- Python or R for analysis
- Statistics fundamentals
- Data cleaning and validation
- Data modeling and warehousing basics
- Telling a story with charts
- Translating business questions into metrics
- Attention to detail
Data & Analytics pay: how to check what a job pays
Analyst, engineer and scientist titles pay differently, and the same title can mean different work at different companies. Check the pay range in the posting, the BLS Occupational Outlook Handbook entries for operations research analysts and data scientists, and O*NET for related occupations.
We do not publish salary averages of our own. Read the BLS Occupational Outlook Handbook and our salary negotiation guide.
Data & Analytics jobs by city
Explore major US job markets, or search remote openings.
Watch out for job scams
Real employers never charge you to apply. Walk away if you see any of these:
- You are asked to pay for training, equipment, a background check or an application fee.
- They send a check and ask you to buy equipment from their vendor or send part of it back.
- The 'job' is receiving money into your account, or packages at home, and forwarding them.
- You get an offer without a real phone or video interview, often after a chat-only exchange.
Data & Analytics jobs: frequently asked questions
How do I become a data analyst with no experience?
Learn SQL and a spreadsheet tool well, then one visualization tool. Build two or three portfolio projects using public datasets, write up what you found, and apply to analyst, reporting analyst and operations analyst roles. Internal moves from operations, finance or marketing are also common.
What is the difference between a data analyst and a data scientist?
Analysts mostly describe what happened and why, using SQL, dashboards and basic statistics. Data scientists more often build predictive models and run experiments, and usually need stronger statistics and programming. Titles overlap a lot, so read the responsibilities in each posting.
Do data analyst jobs require a degree?
Many postings list a bachelor's degree, often in a quantitative field, but employers increasingly accept equivalent experience or certificates. A strong portfolio and a solid SQL interview can carry weight.
Which tools appear most often in data job postings?
SQL appears in most of them, followed by Excel, Tableau or Power BI, and Python. Cloud data warehouses such as Snowflake, BigQuery or Redshift show up often for data engineering roles.
Job search guides
Plain-English guides for job seekers in the US.
- Spot job scamsLearn the warning signs of fake job offers in the US: fake check and equipment scams, pay-to-train schemes, reshipping and task scams, and how to report them to the FTC and IC3.
- US resume guideA practical guide to the American resume: one or two pages, no photo, the sections recruiters expect, how applicant tracking systems read it, and how to tailor it to each job.
- Interview preparationPrepare for phone, video and in-person interviews in the US: research the employer, answer common and behavioral questions with the STAR method, ask good questions and follow up.
- Salary negotiationHow to research fair pay in the US, answer salary expectation questions, compare total compensation and negotiate a job offer politely, with sample wording.
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