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The honest broker for life after high school — BLS-verified wages, real tradeoffs, and no marketing fluff.

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© 2026 NotCollege. Wage data © U.S. Bureau of Labor Statistics.

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    Data Analyst

    IT/Cyber
    Verified · BLS

    IT/Cyber · $91,290 median · 12–78 weeks training · Structurally WPE-eligible

    How we know this

    The wage and outlook figures are verified against the U.S. Bureau of Labor Statistics (OEWS/OOH 2024), last reviewed June 17, 2026. We show our sources so you can check every number yourself.

    Check the BLS sourceOur verification methodology

    Honest tradeoffs

    ai displacement at entry level real

    Entry-level data analyst work (SQL writing, basic stats, simple dashboards) faces significant AI augmentation 2024-2026. ChatGPT and Claude-style tools handle much of this work. Many companies pushing senior analysts to use AI rather than hiring junior.

    soc mapping complex

    "Data Analyst" doesn't have a clean BLS SOC; the work maps across 15-1211 Computer Systems Analysts, 13-1199 Business Operations Specialists, and 15-2031 Operations Research Analysts. The role title is industry-defined, not statistically codified. BLS wage figures are approximations.

    Wages

    Operations Research Analyst (primary BLS mapping)

    SOC 15-2031

    Median wage$91,290
    WPE-eligible at this tier

    Data Scientist (senior progression tier)

    SOC 15-2051

    Median wage$112,590
    Not WPE-eligible at this tier

    "Data Analyst" is an employer job title, not a BLS-tracked occupation. The closest BLS mapping is Operations Research Analysts (15-2031, $91,290 median, 21% growth). Senior analyst roles often progress to Data Scientist (15-2051, $112,590 median, 34% growth). The $21,300 wage premium between tiers reflects substantial additional skill development in machine learning, statistical modeling, and advanced computation.

    Workforce Pell eligibility

    WPE-eligible

    This path's typical training duration fits under the federal Workforce Pell 599-hour cap. State approval status varies — check the Workforce Pell tracker.

    Open the Workforce Pell tracker →

    Training

    Time to startEntry training: ~12 weeksFull apprenticeship: up to 78 weeks (~1.5 years)
    Typical cost$50 – $18,000

    That's a wide span on purpose: you can start working after a short pre-apprenticeship or entry course, while the longer figure reflects a full apprenticeship. The career ladder below breaks the journey into steps.

    Ways in

    Apprenticeship
    Earn while you learn
    ~1 year

    Paid, on-the-job training combined with classroom hours — you get a wage from day one instead of paying tuition.

    Common sponsors: Apprenti (Data Analyst tracks), Year Up, Per Scholas (Data Engineer adjacent), Major tech companies (some run internal data analyst apprenticeships)

    Community college

    An associate degree or certificate — usually the fastest accredited credential, far cheaper than a four-year school, and often Workforce Pell–eligible.

    Credentials you'll earnwith typical prep time

    Portfolio (3-5 data analysis projects with public dashboards)

    Various

    Exam fee0
    Prep time300-500 hours of project work
    Prerequisitenone

    Data Analyst is portfolio-driven. Public dashboards (Tableau Public, Power BI), GitHub repos with analysis projects, blog posts demonstrating insights > any specific cert.

    Source ↗

    Cost vs. payoff

    Cost vs. payoff

    This path
    Training cost
    $50–$18,000
    Time to start earning
    ~12 weeks
    Pays for itself in
    about 2 months
    A 4-year degree
    Typical debt
    ~$30,000
    Time to start earning
    ~4 years
    Pays for itself in
    varies widely

    We're not anti-college — for many careers a degree is the right call. But the honest gap is real: this path starts paying while a 4-year student is still accumulating cost. Degree figures are a national reference (average borrower debt ~$29–38K; sources vary), not a guarantee for any specific school or major.

    Getting started — your first moves

    1. 1

      Find an apprenticeship

      Apply to a registered apprenticeship — you earn a paycheck from day one while you train, instead of paying tuition.

    2. 2

      Earn your first credential

      Study for and pass the Portfolio (3-5 data analysis projects with public dashboards).

    3. 3

      Get hired and grow

      Land an entry role and start building experience — pay climbs as you move up the career ladder above.

    See it where you live

    The figures above are national. Pay and programs vary a lot by state — pick yours and we'll send you straight to the official local data, no guessing.

    Career ladder

    1. Junior Data Analyst (post-cert)

      Entry
      $60,000

      Entry; market is tight but real; portfolio quality matters most

      Training: Google Data Analytics Cert (6 months) + portfolio (3-5 projects)

    2. Data Analyst (mid-level)

      Year 2
      $95,000

      Wage growth fastest in years 1-3 with skill expansion

      Training: 2 years experience + Python/R + advanced SQL + BI tool depth

    3. Senior Data Analyst / Analytics Engineer

      Year 5
      $130,000

      Senior tier; transitions to data science (requires MS or strong portfolio) or analytics engineering

      Training: 5+ years + system design + leadership + dbt/Snowflake/modern stack

    State licensure

    No state-specific licensure requirements documented in corpus.

    Data limitations

    • • BLS OEWS May 2025 per-occupation detail tables not yet pushed
    • • Wage figures BLS-canonical; verify in C2
    • • SOC mapping for Data Analyst role; better data sources needed
    • • Per-state and per-MSA wage tables

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