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ITS-DA Salary Guide 2026: Complete Earnings Analysis

TL;DR
  • ITS-DA is Pearson's IT Specialist - Data Analytics credential, delivered through Certiport; no official salary figure is published for it.
  • The exam-only voucher is listed at USD 127, so the upfront cost is small next to any pay change.
  • Pay depends mostly on role, location, experience, and portfolio; the credential is an entry signal.
  • The five domains map to paid work: SQL, Python, R, Excel/Power Query, visualization, and responsible analytics.

What "ITS-DA Salary" Actually Means

Searching for an ITS-DA salary figure usually turns up confident numbers with no source behind them. Neither Pearson nor Certiport publishes earnings data tied to the Information Technology Specialist - Data Analytics credential, and this guide will not invent any. What we can do is show what the credential proves, which jobs it supports, and how to judge its value with evidence you can verify yourself.

The most honest framing is that ITS-DA is a skills signal, not a salary guarantee. It tells a hiring manager you passed a proctored, objective-based assessment covering data basics, manipulation, analysis, visualization, and responsible practices. Whether that signal moves your offer depends on where you are in your career and what else sits on your resume.

No fabricated numbers here: Every dollar amount in this article comes from the published exam pricing. Any salary range you see attributed to "ITS-DA holders" without a named, dated source should be treated as unverified. For the broader value question, see our ITS-DA ROI analysis.

The Credential Behind the Paycheck

Before weighing earnings, be clear about what you would be earning the credential for. IT Specialist - Data Analytics is issued by Pearson and administered by Certiport, a Pearson VUE business. It is a separate exam from the IT Specialist Databases exam, so do not assume one stands in for the other on a resume or in an interview.

ItemWhat the issuer lists
Exam-only voucherUSD 127 web/member pricing on Pearson MindhubPro; country-restricted
Alternative voucherUSD 133 US-only CATC voucher with retake; proctoring may cost extra
Question countEstimated 35-45 questions (a range, not a fixed form)
Time limit50 minutes maximum of timed exam time
Passing score700 on a 1-1000 scaled score
DeliveryProctored, computer-based: Pearson VUE centers, OnVUE, or a Certiport Authorized Testing Center
ValidityFive years for awards on or after 2025-06-18; earlier awards do not expire

The 700 figure is a scaled score, not a raw 70 percent requirement, so do not plan around answering a fixed share of items correctly. For a deeper look, read our passing score breakdown. Certiport does not publish pass rates, which is why our pass rate article focuses on what can and cannot be known.

Roles Where the Credential Helps

The credential is most useful where employers want evidence of baseline analytics competence from someone without a long track record. Think of it as supporting applications, not defining a title.

Entry-level and transition roles

  • Junior or associate data analyst: where SQL, spreadsheet, and visualization fundamentals are the daily toolkit.
  • Business or reporting analyst: heavy on Excel, Power Query, and communicating findings to non-technical readers.
  • Operations or marketing analyst: roles that blend metrics, dashboards, and basic statistical reasoning.
  • Career changers and students: people with no analytics job history who need a verifiable credential to open doors.

Who tends to value it

Schools, training programs, workforce-development groups, and employers already familiar with Certiport credentials are the most natural audience. A larger or more specialized employer may care more about your portfolio and technical interview than any certificate. We cover typical openings in more depth in our ITS-DA jobs guide.

Skills the Exam Covers That Employers Pay For

Salary follows skills, so the most practical way to think about earning potential is to look at what the exam objectives actually test. The five official domains are objectives, not a prescribed curriculum, and no official percentage weights are published.

Domain 1: Data Basics

The vocabulary and structure of data work.

  • Data types, including date/time values and tuples
  • How data is organized and stored before analysis begins
  • The basic role AI and machine learning play in analysis (specific algorithms are excluded)

Domain 2: Data Manipulation

Where much of real analyst time goes.

  • SQL for querying and shaping data
  • Python and R for cleaning and transforming datasets
  • Excel and Power Query for repeatable spreadsheet workflows

Domain 3: Data Analysis

Turning prepared data into findings.

  • Principal component analysis
  • Cluster analysis
  • Association analysis

Domain 4: Data Visualization and Communication

Making results understandable to decision-makers.

  • Chart choices such as Sankey diagrams and box plots
  • Recognizing misleading charts
  • Communicating results to a given audience

Domain 5: Responsible Analytics Practices

The judgment layer that separates careful analysts from risky ones.

  • Privacy considerations
  • Anonymity concerns with small samples
  • Bias and the limits of generalization

Our complete domains guide expands each area. The key point for earnings: SQL plus a scripting language plus clear visualization is a combination that appears across analyst job postings, and the exam touches all of it.

Don't skip Domain 5: Responsible analytics can look like soft material, but privacy, bias, and small-sample anonymity are exactly what interviewers probe when they want to know whether you can be trusted with real data. It is also a cheap domain to distinguish yourself in.

What Really Moves Analyst Pay

Because no credential-specific figures exist, it helps to know the levers that genuinely shape analyst compensation. These are qualitative, and their relative weight varies by employer.

  1. Experience and proven results. Documented projects, even personal ones, often matter more than a certificate for pay negotiations.
  2. Industry. Finance, healthcare, technology, and government value and pay for analytics differently.
  3. Location and work arrangement. Local labor markets and remote policies change offers substantially.
  4. Tool depth. Comfort with SQL and at least one of Python or R tends to widen your options.
  5. Communication. Analysts who explain findings clearly are more visible to leadership.
  6. Credential stacking. ITS-DA works best alongside a portfolio and relevant coursework, not as a standalone.

Key Takeaway

Treat the credential as the proof-of-skills line that gets your resume past a first screen, then let a small portfolio of real analyses carry the salary conversation.

Exam Cost Versus Earning Potential

The cost side of the equation is the one part we can state precisely. The exam-only voucher is listed at USD 127 through the web/member channel, or USD 133 for the US-only CATC voucher that includes a retake. Proctoring at a testing center may cost extra, and the CATC voucher cannot be used at Pearson VUE centers or through OnVUE.

Two mechanics are worth knowing:

  • The voucher is country-restricted and may be unavailable in some markets.
  • The voucher expires 12 months after purchase, which is separate from how long the credential stays valid once earned.

Against a typical hiring process, a three-figure exam fee is a modest bet. The real investment is study time: the program suggests roughly 150 hours of readiness, which is a readiness profile rather than a verified logged-hours requirement. Our full cost breakdown walks through voucher options and extras.

Cost factorWhat to plan for
Exam voucherUSD 127 (web/member) or USD 133 (US-only CATC, retake included)
Study timeRoughly 150 hours suggested as a readiness profile
Testing logisticsPossible proctoring fee; OnVUE needs a system check and live webcam proctor
RenewalNew voucher and a passing score on the current exam after five years

How to Research Pay Without Guessing

Rather than trusting a stray number, build your own local picture. Collect real postings for the roles you want and read them for patterns.

  • Search job boards for analyst titles in your area and note which list a stated pay range.
  • Record which tools recur: SQL, Python, R, Excel, Power Query, and a visualization platform.
  • Check whether postings mention certifications, and whether they name Certiport or IT Specialist credentials specifically.
  • Compare entry-level versus mid-level postings to see which skills separate them.
  • Ask recruiters or alumni from your training program what offers looked like for comparable candidates.

If postings in your market rarely mention IT Specialist credentials, lean harder on portfolio work; if they do, lead with the credential. The ITS-DA certification overview gives you the exact wording to use on a resume.

Sequencing Your Prep Around Earning Skills

If your goal is the credential as a career lever, order your preparation so the most marketable skills come first. This is the one study-planning section in this guide, and it is tied to the domains.

Weeks 1-2

Data Basics and Data Manipulation

  • Get fluent in SQL queries and date/time handling
  • Practice cleaning data in Python, R, and Excel/Power Query
Weeks 3-4

Data Analysis

  • Learn what PCA, clustering, and association analysis are for
  • Focus on interpreting output, not coding algorithms
Weeks 5-6

Visualization, Communication, and Responsible Practices

  • Match chart types to questions; spot misleading charts
  • Review privacy, small-sample anonymity, and bias scenarios

Manipulation goes early because it underpins everything after it. Visualization and responsible practices come last so they stay fresh for the exam. For a full plan, use the ITS-DA study guide, and gauge your starting point with our difficulty guide. When you are ready to test yourself under timed conditions, try the ITS-DA practice tests.

Validity and Keeping the Credential Current

Earnings value depends partly on the credential staying current. Awards earned on or after 2025-06-18 are valid for five years. Earlier awards remain nonexpiring. Renewal means buying a new voucher and passing the current exam, so a refreshed credential reflects the then-current objectives rather than a grandfathered version.

That matters because exam coverage evolves. The current objectives include date/time, tuples, SQL, R, Python, Excel/Power Query, and principal component, cluster and association analysis, and Pearson has described further updates. No exact release date or exam version is published, so confirm details on the issuer's resource page before you book. See our exam dates guide for scheduling, and the requirements article for eligibility and test-center conditions.

Keep your skills ahead of the credential: a five-year-old award tells an employer less than recent projects do.

Frequently Asked Questions

What is the average ITS-DA salary?

There is no published average. Pearson and Certiport do not release earnings data for this credential, so any single figure is unsupported. Research local postings for the analyst roles you want and compare what they require.

Does the ITS-DA credential guarantee a raise or a job?

No. It is a proctored proof of skills, useful for resumes and screening, but pay depends on role, experience, industry, location, and portfolio. It works best as one part of a broader profile.

How much does it cost to earn the credential?

The exam-only voucher is listed at USD 127 through the web/member channel, and a US-only CATC voucher with retake is listed at USD 133. Proctoring may cost extra, and vouchers expire 12 months after purchase.

Is Data Analytics the same exam as the Databases exam?

No. IT Specialist - Data Analytics is a separate exam from Databases. List the correct credential name on your resume so employers know exactly what you passed.

How long does the credential stay valid?

Awards earned on or after 2025-06-18 are valid for five years, and earlier awards do not expire. Recertifying requires a new voucher and passing the current exam.

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