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role learning roadmap

Learning roadmap: how to become a Data Analyst

Source-cited RoleMath page about Learning roadmap: how to become a Data Analyst.

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Researched by RoleMath Research. Every figure on this page traces to the official source shown next to it.

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
  • Related work experience: 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 proofDocument 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

    Credentials or courses to consider

    • Splunk Core Certified Power User

      Splunk Core Certified Power User maps to Data Analyst as a foundation credential based on its cited track token:data-analyst signal.

      foundational20/100 Foundational$130 examcourse / professional certificate
    • Splunk Core Certified User

      Splunk Core Certified User maps to Data Analyst as a foundation credential based on its cited track token:data-analyst signal.

      foundational20/100 Foundational$130 examcourse / professional certificate
    • Splunk O11y Cloud Certified Metrics User

      Splunk O11y Cloud Certified Metrics User maps to Data Analyst as a foundation credential based on its cited track token:data signal.

      foundational20/100 Foundational$130 examcourse / professional certificate
    • SnowPro Core Certification

      SnowPro Core Certification maps to Data Analyst as a foundation credential based on its cited track token:data signal.

      foundational30/100 Foundational$175 exam
  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 proofTurn CompTIA Data+ and Splunk Core Certified Advanced Power User into hands-on evidence: a lab, dashboard, runbook, repo, or case note that a reviewer can inspect.

    Credentials or courses to consider

  3. 3

    Stage 3 — Go deeper / specialize

    specialize

    Go deeper through specialization, hands-on projects, and role-specific practice.

    Practice proofUse Splunk Enterprise Certified Architect to build a specialization proof point, then compare it against the role's cited skill and credential map.

    Credentials or courses to consider

    • Splunk Enterprise Certified Architect

      Splunk Enterprise Certified Architect maps to Data Analyst as an advanced credential for progressing toward/within this role, not an entry signal.

      expert80/100 Expert$130 examcourse / professional certificate
  4. 4

    Stage 4 — Where it leads next

    later_stage

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

    Practice proofTreat Splunk Enterprise Certified Admin and SnowPro Advanced: Data Analyst as later-stage evidence after real practice; do not use it as a beginner shortcut.

    Credentials or courses to consider

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.

Every page here connects to the same cited data spine — these are the closest surfaces to what you just read.

Roles & paths this connects to

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

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