RoleMath

role learning roadmap

Learning roadmap: how to become a Data Analyst

A cited, step-by-step route into Data Analyst — the skills to build and the credentials to earn, in a sensible order.

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Cited role roadmap

Learning roadmap: how to become a Data Analyst

Skills plus cited role-mapped credentials; not every credential must be completed.

Role context

What this roadmap points toward

  • Mapped occupation: Business Intelligence Analysts (15-2051)
  • BLS national median: $120,230 (2025-05)
  • BLS wage range: $67,240 to $199,130
  • Projected employment change: 33.5% (2024-2034)
  • Typical entry education: Bachelor's degree
  • Experience in another occupation required for entry (BLS): None

This role uses a broad O*NET-SOC/BLS occupation mapping. Data Analyst is mapped to O*NET Business Intelligence Analysts, which rolls into the broader BLS Data Scientists occupation for national wage and outlook data. Treat those figures as nearest-occupation analytics context; entry data analyst jobs commonly sit below the occupation median, and the figure is not a title-specific salary promise.

Proof to build

Skills, portfolio, and credential posture

A data analyst collects, cleans, and interprets data to answer business questions — writing queries, building dashboards, and turning raw numbers into decisions people can act on.

Core skills

SQL, spreadsheet modeling, a business-intelligence tool (Excel, Tableau, or Power BI), and enough statistics to interpret results honestly

Portfolio proof

A dashboard or analysis built from a public dataset that shows off your SQL and a BI tool

Credential posture

Many entry data credentials are course-based professional certificates (for example, a vendor data certificate) rather than proctored certifications — useful for learning, but not the same thing. Check what each actually is, and confirm eligibility, before you pay.

Data analyst is one of the faster-growing paths in the BLS data, but "entry-level" still means demonstrable SQL, spreadsheet, and data-visualization skills — and a portfolio that shows them.

The sequence

What to learn, in order

  1. 1

    Stage 1 — Start here (foundation)

    foundation

    Start with the foundational skills and beginner-appropriate credentials currently mapped to this role.

    Practice proof Document a small data analyst proof artifact around Data cleaning and SQL before treating any credential as the milestone.

    Skills to build

    • Data cleaningimportance 5/5
    • SQLimportance 5/5
  2. 2

    Stage 2 — Build the core

    core

    Build the core role capabilities and stronger role-aligned credentials after the foundation is in place.

    Practice proof Turn CompTIA Data+ and Google Data Analytics Professional Certificate into hands-on evidence: a lab, dashboard, runbook, repo, or case note that a reviewer can inspect.

    Credentials or courses to consider

  3. 4

    Stage 4 — Where it leads next

    later_stage

    Treat these as later-stage options after real experience, not beginner first steps.

    Practice proof Treat CompTIA DataAI as later-stage evidence after real practice; do not use it as a beginner shortcut.

    Credentials or courses to consider

    • CompTIA DataAI

      DataAI is advanced and can sit on a long-term data ladder, not an entry analyst route.

      Cost detail
      advancedExpert stage - 5+ years required or expected$544 examlater-stage

Where it can lead

Next roles in the same domain

Sources

What supports this roadmap

This is ONE cited route to the role — not the only order, and not a guarantee of a job. Credentials validate skills; hiring also depends on hands-on practice, a portfolio, experience, location, and the interview. Build the skills alongside (not just before) the exams. Advanced credentials are marked as such — they are later-stage steps that usually need real experience first, never a beginner's first move. A course is not a certification. draft_noindex pending review.

These pages draw on the same sourced data, and are the closest to what you just read.

Roles & paths this connects to

role learning roadmap of roleData Analystroadmap hubLearning roadmaps — how to become each tech role

Core source records

This table lists the page’s core content records and their checked dates where recorded. Claim-specific citations appear beside the relevant text and may not be repeated here.

IDSupportsSourceChecked
CIT-01Data cleaning importance 5/5Coursera and Google — Google Data Analytics Professional Certificate2026-06-30
CIT-02SQL importance 5/5Coursera and Google — Google Data Analytics Professional Certificate2026-06-30
CIT-03CompTIA Data+ maps to this role (Strong curated match for this role)official exam source2026-06-25
CIT-04Google Data Analytics Professional Certificate maps to this role (Strong curated match for this role)see SourcesDate not recorded
CIT-05CompTIA DataAI maps to this role (Advanced / longer-term)official exam source2026-06-25

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