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Hire an Adobe
Adobe Analytics Analyst

Find an Adobe Analytics Analyst Who Turns Platform Data Into Business Intelligence

A skilled Adobe Analytics Analyst builds the Analysis Workspace projects, segments, calculated metrics, and attribution models that give marketing and product teams the insight they need to make confident decisions. We place analysts who understand what the data means, not just how to pull it.

  • Analysis Workspace, segments, and calculated metric development
  • Attribution modelling, audience activation, and Customer Journey Analytics
  • We screen for practical depth, not just certifications
  • Contract, contract-to-hire, or full-time — your choice
  • US and Canada talent. Shortlist in 5–10 business days.
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About CRM Force

Boutique means something different when the person who built the company has done the work.

Saad Ahmed, Founder of CRM Force
Founded by a practitioner

Saad Ahmed spent 20 years as a CRM consultant, solution architect, and implementation lead — building marketing automation and CRM systems for clients from start-ups to publicly traded enterprises. He founded CRM Force to bring practitioner-led vetting to a space dominated by generalist agencies.

Two-step vetting

Every candidate goes through a two-step internal qualification process — reviewed by two separate evaluators before they reach you. We confirm experience, certifications, technical depth, and fit. You receive a shortlist, not a resume dump.

What we place

CRM consultants, architects, developers, and admins. Marketing automation specialists. RevOps leaders, business analysts, and project managers. If it touches the CRM or marketing technology stack, we place it. Contract, contract-to-hire, and direct hire — across all seniority levels.

We Recruit for You

Three reasons companies choose us over a traditional recruiter — and what makes the difference in practice.

Vetted by Someone Who Has Done the Work

Saad Ahmed, founder of CRM Force, spent 20 years as a CRM Consultant and Solution Architect — building HubSpot implementations, designing data models, and running client engagements himself. When he reviews a candidate for your role, he is not reading a job description. He is evaluating whether someone can do work he has done himself. That distinction matters.

No Resume Dumps. A Shortlist You Can Act On.

You receive 3 to 5 pre-vetted candidates, each with our written assessment — why we believe they fit your role, where they are strong, and what to probe in the interview. Our internal process puts every candidate through two separate evaluation stages before they reach you. You only meet people who have cleared the bar.

Three Engagement Models. One Standard.

Contract for short and long-term engagements. Contract-to-hire when you want to try before you commit. Direct placement for permanent roles. Every model includes the same sourcing, multi-stage screening, skills assessment, and reference validation. The delivery vehicle changes — the standard does not.

Our Recruitment Process

Four steps from brief to shortlist — no surprises, no padding, no wasted interviews.

We Learn Your Requirements

A focused role briefing call — not a generic intake form. We ask about portal size, Hub configuration, seniority level, technical depth required, team structure, and what a genuinely great candidate looks like for your specific situation. The brief matters more than most clients expect.

We Search Our Network

We work our pre-built database of CRM and HubSpot professionals alongside targeted outreach to passive candidates who are not actively applying. The majority of the people we present are not on job boards — they are available to the right opportunity, if the right person asks.

You Receive a Shortlist

Typically 3 to 5 pre-vetted candidates, each with our written assessment — not just a resume. We tell you why we believe each person is right for your specific role, where they are strong, and what you should probe in the interview. You decide who moves forward.

We Support You to Offer

We coordinate interviews, facilitate debriefs, provide market-rate compensation benchmarks, and support you through the offer stage. The search does not end when we send the shortlist — it ends when you have the right person in the role.

Need an Adobe Analytics Analyst Fast?

We place CRM and Marketing Automation professionals across the US and Canada.

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Industries We Serve

Adobe Analytics analysts serve e-commerce, media, financial services, travel, and enterprise marketing teams. We place analysts with experience in: We work with organizations of all sizes — from growth-stage startups to publicly traded enterprises — across all major industries.

Information Technology
Health Care
Financials
Consumer Discretionary
Communication Services
Industrials
Consumer Staples
Energy
Real Estate
Materials
Utilities

Not sure what you need? We can help you define the role.

One conversation is usually enough. No commitment required.

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When You Need an Adobe Analytics Analyst

A few things we hear from clients before they reach out.

  • Your team has Adobe Analytics but cannot build the reports and segments leadership needs to make decisions
  • You need advanced audience segments built in Adobe Analytics for activation to Adobe Target or Campaign
  • You want attribution modelling configured and analyzed to understand which marketing channels are actually driving conversions
  • You need Customer Journey Analytics (CJA) set up and analysis projects built for cross-channel journey insights
  • You need ongoing Adobe Analytics analysis — weekly reporting, funnel analysis, and anomaly detection for your digital properties

How We Vet Adobe Analytics Analysts

A strong Adobe Analytics Analyst combines platform mastery with business interpretation skills. We assess:

Analysis Workspace expertise: Expert command of Analysis Workspace — freeform tables, flow analysis, fallout reports, cohort tables, and custom workspace panel design.
Segment and calculated metric design: Builds advanced segmentation using sequential, logical, and dimension-based segments — and calculated metrics for custom KPIs.
Attribution modelling: Configures and analyzes attribution models — first touch, last touch, linear, time decay, and algorithmic — with recommendations grounded in business logic.
Audience activation: Builds and publishes Adobe Analytics audiences to Adobe Target, Campaign, and Real-Time CDP for personalization and campaign targeting.
Customer Journey Analytics: Experience building CJA data views, workspace projects, and cross-channel journey reports that connect web, app, and CRM data.
Data quality assessment: Diagnoses analytics data quality issues — variable mis-mapping, double counting, session inflation — and communicates findings and remediation clearly.

Red Flags to Watch For

  • Cannot build complex segments in Analysis Workspace — only uses preset report suite segments
  • No attribution modelling experience — reports on last-touch metrics without understanding their limitations
  • No audience activation experience when Adobe Target or Real-Time CDP is in the technology stack
  • Cannot diagnose data quality issues — trusts platform numbers without validating implementation accuracy

Whatever your sector, we know CRM talent.

Tell us about the role and we will get back to you within one business day.

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What an Adobe Analytics Analyst Focuses On

From Analysis Workspace to attribution modelling, here is where Adobe Analytics analysts spend their time:

Analysis Workspace Reporting

Build Analysis Workspace projects with freeform tables, flow analysis, fallout reports, and cohort tables for marketing and product teams.

Advanced Segmentation

Design complex sequential and dimension-based segments that isolate the right audiences for campaign targeting and behaviour analysis.

Attribution Modelling

Configure and analyze multi-touch attribution models to understand which channels, campaigns, and touchpoints actually drive conversions.

Audience Activation

Build and publish Adobe Analytics audiences to Target, Campaign, and Real-Time CDP for personalization and cross-channel targeting.

Customer Journey Analytics

Build CJA data views, journey reports, and cross-channel workspace projects that connect web, app, and offline data.

Data Quality & Governance

Assess Adobe Analytics data quality — validate implementation accuracy, diagnose variable mis-mapping, and govern report suite configuration.

Adobe Analytics Analysis Across Digital Marketing Teams

Adobe Analytics analysts deliver insights for marketing, product, digital experience, and revenue operations teams.

E-Commerce & Retail Analytics

Retailers using Adobe Analytics to understand shopping behaviour, funnel performance, and revenue attribution.

  • Purchase funnel and cart analysis
  • Product performance and merchandising
  • Revenue attribution by channel and campaign
  • Checkout abandonment and recovery analysis

Media & Content Analytics

Media companies analyzing content consumption, audience behaviour, and engagement patterns.

  • Content performance and engagement metrics
  • Audience segment behaviour analysis
  • Video and streaming analytics reporting
  • Subscription and retention funnel analysis

B2B & Lead Generation Analytics

B2B marketing teams analyzing lead generation, pipeline contribution, and campaign performance.

  • Lead funnel and form conversion analysis
  • Campaign attribution and pipeline contribution
  • Account-based engagement analysis
  • CRM and Analytics cross-reference reporting

Customer Journey Analytics Teams

Teams using CJA for cross-channel journey analysis beyond what Adobe Analytics reports natively.

  • Cross-channel journey mapping and analysis
  • Offline and online data join reporting
  • Person-level attribution modelling
  • Predictive analytics and AI-driven insights

Frequently Asked Questions

What is Analysis Workspace in Adobe Analytics?
Analysis Workspace is Adobe Analytics's primary reporting interface — a drag-and-drop workspace where analysts build custom reports using freeform tables, flow visualizations, fallout funnels, cohort tables, and attribution models. It is the main tool for advanced Adobe Analytics analysis beyond pre-built dashboards.
What is the difference between an Adobe Analytics Developer and an Analyst?
An Adobe Analytics Developer implements the tracking — data layer, tag rules, variable mapping. An Analyst uses that implementation to generate insights — building reports, segments, attribution models, and audience activations. Many teams need both; some analysts have enough implementation knowledge to validate data quality without building the implementation themselves.
What is Customer Journey Analytics (CJA) and how does it differ from Adobe Analytics?
Adobe Analytics is session-based and primarily web-focused. Customer Journey Analytics is built on Adobe Experience Platform and enables person-level, cross-channel analysis — joining web, mobile, CRM, call center, and other data sources in a single workspace for complete journey visibility that Adobe Analytics alone cannot provide.
How do Adobe Analytics audiences connect to personalization?
Adobe Analytics segments can be published as audiences to Adobe Target for real-time web personalization, to Adobe Campaign for email targeting, and to Adobe Real-Time CDP for cross-channel activation. This creates a closed loop where analytics insights directly drive personalized experiences — connecting measurement and activation on the same Adobe stack.

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