The Best Entry-Level Data Analyst Jobs 2026
Tracked at 10k top companies
Breaking into data analytics? Simplify has curated a comprehensive list of entry-level data analyst positions: ideal for recent graduates, career switchers, and early-career professionals seeking to work with data at top startups, Fortune 500 companies, and fast-growing tech firms.
Whether you're transitioning from a business, economics, statistics, or computer science background, or you’ve recently completed a bootcamp or certification in data analytics, these roles offer the perfect launchpad into the world of data.
Typical responsibilities in these jobs include: analyzing datasets using Excel, SQL, and Python; creating dashboards and visualizations using Tableau, Power BI, or Looker; supporting cross-functional teams with data-driven insights; reporting KPIs and business performance metrics to stakeholders.
Our listings include both remote and in-office jobs located in New York, San Francisco, Chicago, Austin, Atlanta, Boston, and more. Many roles offer hybrid or work-from-home arrangements, making it easy to balance work and life or break into the industry from anywhere.
Highlights of our curated opportunities: paid full-time roles with salary, benefits, and 401(k) options; entry-level titles like Data Analyst I, Junior Analyst, Business Intelligence Analyst, and Research Analyst; often no prior industry experience required, just familiarity with data tools, curiosity, and strong problem-solving skills; mentorship, learning stipends, and career development programs are available at many employers; opportunities to grow into data science, business intelligence, or product analytics roles.
Simplify makes it easy to filter by skills, tools, location, and salary, and view whether you’re seeking a data job at a startup, a tech unicorn, or a well-established enterprise.
Start your entry-level data analyst career today by applying to jobs that value data-savvy thinkers, sharp communicators, and aspiring analysts ready to make an impact.
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Pima CountyEntry LevelData Analyst 1 - Justice Services$57.6k - $80.7kTucson, AZ$57.6k - $80.7kyesterday - 2d
Deutsche BankEntry LevelWorkday Prism Analytics and Reporting Consultant - HR IT - AssociateBengaluru, India---2d - 2d
Genuine Parts CompanyEntry LevelProduct Information Management Data AnalystBirmingham, AL---2d - 3d
Nationwide Children's HospitalEntry LevelIS Business Intelligence Analyst 1Columbus, OH---3d - 5d
BrenntagEntry LevelMaster Data AnalystLeeds, UK---5d - 5d
Arrow ElectronicsEntry LevelSQM Financial Data Analyst$29.90 - $36.54/hrWhite Plains, NY$29.90 - $36.54/hr5d - 5d
Morgan StanleyEntry LevelPortfolio Analytics Associate$90k - $130kNew York, NY$90k - $130k5d - 5d
Hewlett Packard EnterpriseMid LevelHPC Technical Consultant$62.9k - $145.3kOak Ridge, TN$62.9k - $145.3k5d - 5d
Auto-Owners InsuranceEntry LevelBusiness Intelligence DeveloperEast Lansing, MI---5d - 5d
S&P Global Entry LevelData Analyst - Data Forward EventHyderabad, India---5d - 5d
Procter & Gamble (P&G)Entry LevelData Analyst - IT$85k - $122.2kAlexandria, LA$85k - $122.2k5d - 5d
Thermo Fisher ScientificEntry LevelSupply Chain Master Data AnalystSwindon, UK---5d - 5d
RTXEntry LevelIntelligence Analyst$57.2k - $108.8kWestminster, CO$57.2k - $108.8k5d - 5d
MJH Life SciencesEntry LevelData Analyst$65k - $70kCranbury, NJ$65k - $70k5d - 5dDeutsche BankEntry LevelWorkday Prism Analytics and Reporting Consultant Associate - HR ITPune, India---5d
Explore our FAQ section to learn more.
Entry-level data analysts focus on dashboards, reporting, and cleaning data using SQL, Excel, and BI tools like Tableau or Looker. Entry-level data scientists are expected to model data, write Python scripts, and sometimes deploy ML models. Many 'data scientist' jobs at small companies are actually analyst roles with a fancier title.
Don’t just say you know SQL, show it. Build and publish a public dashboard (e.g., using Streamlit or Tableau Public). Recreate a real business use case with open data. A GitHub repo or portfolio site with 2–3 clean, documented projects makes you instantly stand out from hundreds of resume-only applicants.
Parts of the role, like writing basic SQL queries or generating summary insights, can be accelerated by LLMs. But companies still need analysts to clean messy data, build usable dashboards, and interpret results in a business context. The skill that won’t be replaced: asking the right questions and knowing what matters to stakeholders.
Most analysts move into one of three tracks: 1) Senior analyst or analytics manager, 2) Data science or machine learning engineer (with additional Python/stats training), or 3) Product or business intelligence roles. After 2–3 years, you should either own a key business area or pivot toward technical or strategic specialization.
No. If you can write SQL, use Excel, and build dashboards, you’re hireable, especially if you can show business impact in a project. Many bootcamps teach tools but not applied thinking. Instead, take on a freelance project or redesign a company’s public data in a portfolio project. It’s cheaper and more impressive.
SQL is essential. Excel is still heavily used. Tableau, Power BI, and Looker are the top dashboard tools. Google Sheets + AppScript or BigQuery is increasingly common at startups. Python is nice to have, especially Pandas or Jupyter, not required, but useful for growth.
