How to Become a Data Analyst: Step-by-Step Guide
A practical look at the degrees, certificates and portfolio work that get you into an analyst seat, plus the parts of the job that put people off.
Quick answer
- Minimum credential: a bachelor's degree is what most employers screen for (U.S. Bureau of Labor Statistics, 2025; O*NET OnLine, 2024), though some firms hire business or liberal arts graduates with relevant skills (U.S. Bureau of Labor Statistics, 2025).
- Realistic timeline: about 9-18 months if you already hold a degree and add a certificate plus portfolio; about 4-5 years if you are starting the bachelor's degree from scratch.
- Real tradeoff: a large share of the work is cleaning messy data and re-asking stakeholders what they actually meant, not building charts.
Becoming a data analyst usually means pairing a credential employers recognise with proof that you can actually pull, clean and explain data. Most analyst job listings screen for a bachelor's degree — computer systems analysts and operations research analysts typically need one to enter the occupation (U.S. Bureau of Labor Statistics, 2025), and Business Intelligence Analysts sit in Job Zone Four, where most occupations require a four-year bachelor's degree but some do not (O*NET OnLine, 2024).
There is a shorter route through vendor certificates and portfolio work, and it does get people hired — but it works best alongside a first job that puts your hands on real company data, such as a reporting analyst or junior BI analyst role.
Step-by-Step Path to Entry
- Pick the analyst title you are aiming at. "Data analyst" is a loose label. Business Intelligence Analysts build dashboards and reporting; computer systems analysts work on systems and processes; operations research analysts apply modelling to operational decisions. The entry bar differs: operations research analysts typically need at least a bachelor's degree plus work experience in a related occupation and on-the-job training (U.S. Bureau of Labor Statistics, 2025), while some firms hire computer systems analysts with a business or liberal arts degree plus relevant skills (U.S. Bureau of Labor Statistics, 2025).
- Secure the baseline education. The common route is a four-year bachelor's degree in statistics, computer science, economics, information systems or business. For Business Intelligence Analysts, education is rated 3 of 4 — "bachelor's degree or master's degree usually needed" (My Next Move, O*NET) — and people starting in the role usually have a bachelor's degree, no work experience and no on-the-job training (CareerOneStop). If a degree is not realistic right now, start with step 3 and treat the degree as something you may finish later part-time.
- Complete a structured analytics certificate. The Google Data Analytics Professional Certificate is an eight-course program designed to be finished in under six months at about 10 hours per week, with no degree or prior experience required (Google via Coursera). It carries an ACE recommendation for 12 semester hours of college credit (practicetestgeeks.com), which can shorten a later degree.
- Learn SQL and one business intelligence tool properly. Tableau and Microsoft Power BI are both listed as "Hot Technology" business intelligence and data analysis software for Business Intelligence Analysts (O*NET OnLine). Pick one, not both, and go deep enough to model data rather than just format it.
- Pass a tool exam employers can verify. Microsoft's PL-300 exam earns the Microsoft Certified: Power BI Data Analyst Associate certification (Microsoft). It is 40-60 questions in 100 minutes, needs 700 out of 1000 to pass, and costs $165 for US test-takers (DataCamp). You can register and sit it directly — there are no prerequisite courses or certifications (Microsoft Learn).
- Get supervised practice on real data. Target an internship, a junior reporting analyst or data analyst post, or an apprenticeship — ONET lists "Business Intelligence Engineer" as an example apprenticeship title for the Business Intelligence Analysts occupation (My Next Move, ONET). Availability of apprenticeships varies heavily by state and employer; check your state's apprenticeship agency listings.
- Add CompTIA Data+ once you have reporting experience. CompTIA recommends 18-24 months in a report or business analyst role plus exposure to databases, analytical tools, basic statistics and data visualization before taking Data+, though there are no mandatory prerequisites (CompTIA, October 2025). The DA0-002 exam is a maximum of 90 multiple-choice and performance-based questions in 90 minutes with a passing score of 675 on a 100-900 scale (CompTIA, October 2025).
Education and Certification Options
Tuition for degrees varies widely by state, institution and residency status, so check the published per-credit rate at the specific school rather than relying on an average. Exam and certificate prices below are the figures published by the named sources.
| Route | Typical duration | Approximate cost | Required or preferred |
|---|---|---|---|
| Bachelor's degree (statistics, CS, economics, information systems, business) | 4 years full-time | Varies by state and institution — check the school's published tuition | Commonly required; most Job Zone Four occupations require a four-year degree, but some do not (O*NET OnLine, 2024) |
| Master's degree in analytics or statistics | 1-2 years after a bachelor's | Varies by institution | Rarely required for entry; education for Business Intelligence Analysts is rated "bachelor's degree or master's degree usually needed" (My Next Move, O*NET) |
| Google Data Analytics Professional Certificate | Under six months at about 10 hours per week (Google via Coursera) | About $294 total at $49 per month (course.careers) | Preferred, not required; carries ACE credit recommendation of 12 semester hours (practicetestgeeks.com) |
| Microsoft PL-300 (Power BI Data Analyst Associate) | Weeks to a few months of self-study; no prerequisite courses (Microsoft Learn) | $165 for US test-takers (DataCamp) | Preferred; sometimes requested outright for Power BI-heavy reporting roles |
| CompTIA Data+ (DA0-002) | Taken after a recommended 18-24 months of report or business analyst experience (CompTIA, October 2025) | About $255, or $304 with a retake option (careeremployer.com) | Preferred; valid three years and renewable with continuing education units (careeremployer.com) |
| Apprenticeship (for example, Business Intelligence Engineer) | Typically 1-2 years, paid | Usually employer-funded | An alternative where offered; availability varies sharply by state and employer (My Next Move, O*NET) |
| Self-study plus public portfolio | 6-18 months | Cost of courses and tools only | Rarely enough on its own where an applicant tracking system screens for a degree |
Are You Ready? Readiness Checklist
Go through these before you spend money. Each one is something you can check today.
- You can write a SQL query with a JOIN and a GROUP BY from memory, without copying a template.
- You have completed, or can pass, at least one college-level statistics course covering distributions, sampling and hypothesis testing.
- You have chosen one BI tool — Tableau or Power BI, both listed as Hot Technology for Business Intelligence Analysts (O*NET OnLine) — and installed it on a machine that can run it.
- You have three finished analyses you can show: raw data in, cleaned data, a chart, and a written conclusion a non-analyst can follow.
- You can commit about 10 hours a week for six months, the pace the Google Data Analytics Professional Certificate is designed around (Google via Coursera).
- You have budgeted for exam fees up front — $165 for PL-300 (DataCamp) and about $255 for CompTIA Data+ (careeremployer.com) — and know that certifications such as Data+ expire after three years and need continuing education units to renew (careeremployer.com).
- You can sit at a screen for most of a working day and are comfortable that a large part of the job is reconciling inconsistent records and chasing stakeholders for clearer requirements.
- You can accept that many employers will screen for a bachelor's degree first (U.S. Bureau of Labor Statistics, 2025), so a certificate-only route may mean more applications and more rejections before a first offer.
Typical Timeline From Start to First Job
Two timelines run in parallel depending on whether you already hold a degree. Elapsed times below assume part-time study alongside work.
- Month 0-3: Learn SQL and spreadsheet analysis, and start the Google Data Analytics Professional Certificate — eight courses at about 10 hours a week (Google via Coursera). If you are starting a bachelor's degree instead, this is your first prerequisite coursework, including statistics.
- Month 3-6: Finish the certificate at the suggested six-month pace, costing roughly $294 billed monthly (course.careers), and publish two portfolio projects using a public dataset.
- Month 6-9: Prepare for and sit the PL-300 exam — 40-60 questions in 100 minutes, 700 out of 1000 to pass, $165 for US test-takers (DataCamp) — to earn the Microsoft Certified: Power BI Data Analyst Associate credential (Microsoft).
- Month 9-15: Apply for internships, apprenticeships such as Business Intelligence Engineer (My Next Move, O*NET), and junior postings. Expect several rounds of SQL and case-study tests. Degree-route candidates reach this point around year 4 of the bachelor's degree instead.
- Month 12-18: Start as a reporting analyst, junior data analyst or business intelligence analyst. Expect the first six months to be dominated by maintaining existing reports rather than new analysis.
- Month 30-42 (18-24 months into the role): Sit CompTIA Data+ (DA0-002), the point at which CompTIA recommends candidates have report or business analyst experience (CompTIA, October 2025).
Frequently asked questions
Can you become a data analyst without a four-year degree?
Sometimes. Business Intelligence Analysts sit in Job Zone Four, where most occupations require a four-year bachelor's degree but some do not (O*NET OnLine, 2024). The practical alternative is the Google Data Analytics Professional Certificate, which requires no degree or prior experience and is designed for under six months at about 10 hours a week (Google via Coursera), paired with a portfolio and an apprenticeship or junior reporting role.
Which certification should I take first, PL-300 or CompTIA Data+?
Start with PL-300 if you have little experience. It has no prerequisite courses or certifications and can be booked directly (Microsoft Learn), costing $165 for US test-takers (DataCamp). CompTIA recommends 18-24 months in a report or business analyst role before taking Data+ (CompTIA, October 2025), so it fits better once you are already working with company data.
How much do data analysts earn?
Pay is usually a fixed annual salary, sometimes with a bonus tied to company or team performance, and it differs by state, metro area and industry rather than following one national number. Check the U.S. Bureau of Labor Statistics Occupational Employment and Wage Statistics pages for your occupation and state, and compare against current job postings in your city before accepting a figure.
Do I need to learn both Tableau and Power BI?
No. Both are listed as Hot Technology business intelligence and data analysis software for Business Intelligence Analysts, among dozens of other tools (O*NET OnLine). Employers usually standardise on one. Learn whichever appears most in job ads where you live, go deep enough to model data rather than just format charts, and pick up the second tool on the job if needed.
What is the hardest part of the job to prepare for?
Ambiguity. Requests often arrive as a vague question, and you spend hours reconciling inconsistent records before any analysis begins. Operations research analysts, for example, typically need work experience in a related occupation plus on-the-job training (U.S. Bureau of Labor Statistics, 2025) — much of that training is learning how a specific business records its data and what the numbers actually mean.
Does the Google certificate count toward a degree?
It has an ACE recommendation for 12 semester hours of college credit (practicetestgeeks.com), but each institution decides whether to accept ACE recommendations and how the credits apply. Ask the admissions or registrar's office at the specific school, in writing, before you assume it shortens your program. Acceptance varies by college and by state system.
Sources
- U.S. Bureau of Labor Statistics — Operations Research Analysts : Occupational Outlook Handbook (2025)
- U.S. Bureau of Labor Statistics — Computer Systems Analysts : Occupational Outlook Handbook (2025)
Written by
Wyatt covers work outside the office: construction, logistics, repair, and the people who keep things running. He's skeptical of career advice that assumes everyone sits at a desk.
