Roles › Chief Executive Officer › Chief Data (& Analytics) Officer › Analytics & BI › Internal Analytics › Embedded / Domain Analysts

Analytics / BI

What does a Domain Analyst do?

Analysts who sit with a business team and own its data questions end to end.

High demand Team: Embedded / Domain Analysts Reports into: Internal Analytics

What they actually do

Become the expert on one domain's data.
Attend the team's planning meetings; propose what to measure.
Build that team's dashboards and run its analyses.
Feed requests back to the central data team.

Hiring demand

High demand. Large, steady volume of postings across industries. A realistic target for an active job search.

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Who they work with

Their business team dailyCentral analytics

Typical tools

Same as internal analytics plus domain tools (Salesforce, GA4, NetSuite, Workday)

Skills to get there

Domain depth
Communication
SQL + BI tool

Title ladder

Common titles for this role at each level. Companies vary; see Role titles decoded.

Level	Typical titles
Entry	Junior / Associate Domain Analyst · Domain Analyst I
Mid	Domain Analyst · Domain Analyst II
Senior	Senior Domain Analyst · Lead Domain Analyst
Expert (IC track)	Staff / Principal Domain Analyst
Management track	Manager, Embedded / Domain Analysts → Director of Embedded / Domain Analysts → VP

See the free training path →

See current openings

Searching for: Product Analyst · anywhere in the US · change

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Opens the job board's own search; results and counts are theirs.

How to get here

Salary (US) as of 2026-11

Median$112K

Typical range$90K–$141K

Sources:

Figures shown are for product analysts; finance and marketing analyst variants generally pay somewhat less, tech product analytics more. Senior IC/manager figure from Glassdoor Senior Data Analyst total-pay median: $132,000.

Experience to get here

Entry level1-3 years

Typical title3-6 years

Bachelor's in economics, business, statistics or a field matching the domain; no specific major required. Domain fluency (SaaS metrics, P&L, attribution) counts as much as tooling.

Typical prior roles

Data Analyst (central team)Financial AnalystMarketing AnalystBusiness Analyst

Must have

Strong SQL
Domain tooling: Amplitude/Mixpanel/GA4, NetSuite, Salesforce or Workday depending on team
Defining and defending metrics (activation, retention, CAC, forecast)
Scoping vague requests to the decision behind them
Clear written memos and presentations

Milestones people hit first

Became the person a VP asks first when a domain metric moves
Proposed what a team should measure, then built the dashboard for it
Supported or ran an A/B test and wrote up the result
Fed data-model requests back to the central team instead of building shadow pipelines

Certifications

Microsoft Certified: Power BI Data Analyst Associate (PL-300)Microsoft

Nice to havein postings: sometimes

Exam fee	$165
Training	free Microsoft Learn PL-300 path; paid instructor-led course optional
Renewal	$0; free online renewal assessment every 12 months
Typical total	$165-400

Time: 6-8 weeks at ~5 hrs/wk
Prerequisites: none formal; Power Query and DAX familiarity expected

Finance and ops teams on the Microsoft stack still list Power BI skills; the cert signals you can own the model.

Google Advanced Data Analytics Professional CertificateGoogle / Coursera

Nice to havein postings: sometimes

Exam fee	not published
Training	$49/month Coursera subscription; most finish for under $300
Renewal	none
Typical total	under $300

Time: about 6 months at 10 hrs/wk
Prerequisites: Google Data Analytics certificate or equivalent (SQL, spreadsheets, dashboards)

Python, regression and statistics are the upgrade path from reporting to product or growth analytics.

Salesforce Certified Tableau Data AnalystTableau (Salesforce)

Nice to havein postings: sometimes

Exam fee	not published
Training	free Tableau training videos; Trailhead
Renewal	annual Tableau maintenance badge on Trailhead (third-party report)
Typical total	$200-250 exam (third-party sources conflict: $200 + $100 retake vs $250)

Time: 3-4 weeks at ~5 hrs/wk
Prerequisites: none listed

Marketing and e-commerce analytics teams often standardize on Tableau.

Training & learning

SQL Tutorial (foundational to advanced) FREE ThoughtSpot (formerly Mode) · course · free · 1-2 weeksSQL is in nearly every posting in this family; a free, browser-based path from basics to advanced queries.
Introduction to A/B Testing FREE Udacity (by Google) · course · free · 5 lessonsFree course by Google on metrics, experiment design and analysis; the core of experimentation analyst work.
Google Advanced Data Analytics Professional Certificate Google / Coursera · learning path · $49/month; most finish under $300 · 6 months at 10 hrs/wkAdds Python, statistics and regression on top of the analyst basics; prep for insights and senior work.
PL-300T00: Design and manage analytics solutions using Power BI FREE Microsoft Learn · learning path · free (self-paced) · 3-day course; ~72 hrs self-pacedOfficial prep for PL-300: Power Query, data modeling, DAX and Power BI service administration.
Tableau free training videos FREE Tableau · course · free · about 1 hour of videos plus practiceFastest free path to a Tableau Public portfolio dashboard, which hiring managers ask for.
Trustworthy Online Controlled Experiments Cambridge University Press (Kohavi, Tang, Xu) · book · book purchase (price not shown) · 3-4 weeksThe practitioner's reference on A/B testing pitfalls, OEC selection and long-term effects.

Sources & notes

Glassdoor Marketing Analyst page not available, so the salary is anchored on the product-analyst variant. No domain-specific certification (e.g. Google Analytics, FPAC) was confirmed in a current posting, so none is listed.

Figures are US, from the sources listed, and change often; verify before deciding.

Related roles

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Open Embedded / Domain Analysts in the interactive chart →