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Temporary Adobe Data Analyst Jobs in Park Ridge, IL

hyrusinc

Data Analyst

Chicago, IL · Remote

Title: Data Analyst - IT IV (Product Analyst - CIAM) Location: Remote (Chicago, IL preferred ... Hands-on expertise using Power BI, Excel, Tableau, or Adobe Analytics to construct performance ...

New

HyrUS Inc.

Data Analyst

Chicago, IL · On-site

Title: Data Analyst - IT IV (Product Analyst - CIAM) Location: Remote (Chicago, IL preferred ... Hands-on expertise using Power BI, Excel, Tableau, or Adobe Analytics to construct performance ...

New

Publicis Groupe Holdings B.V

Data Analyst

Chicago, IL · Hybrid

Experience with digital marketing analytics tools such as Google Analytics, Adobe Analytics, and ... We also offer medical and voluntary benefits to our freelancers and temporary employees. Voluntary ...

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Brunswick

Adobe Products Data Engineer

Mettawa, IL · On-site

$87K - $128K/yr

Perform profile and segment overlap analysis to identify audience conflicts and ensure optimal ... Adobe Target - Familiarity with: * Data pipeline orchestration and automation * Customer ...

Lund Boats

Adobe Products Data Engineer

Mettawa, IL · On-site

$87K - $128K/yr

Perform profile and segment overlap analysis to identify audience conflicts and ensure optimal ... Adobe Target - Familiarity with: * Data pipeline orchestration and automation * Customer ...

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Temporary Adobe Data Analyst information

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$33.5K

$81.3K

$133.8K

How much do temporary adobe data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for temporary adobe data analyst in Park Ridge, IL is $81,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,400.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Adobe Data Analyst vs Temporary Tableau Data Analyst?

AspectTemporary Adobe Data AnalystTemporary Tableau Data Analyst
Required CredentialsProficiency in Adobe Analytics, data analysis skills, possibly certifications in Adobe toolsProficiency in Tableau, data visualization skills, possibly Tableau certifications
Work EnvironmentDigital marketing, analytics teams, advertising agenciesBusiness intelligence, data visualization teams, consulting firms
Employer & Industry UsageMarketing, advertising, e-commerceBusiness intelligence, data consulting, corporate analytics
Search & Comparison IntentComparing roles involving Adobe analytics toolsRoles focusing on Tableau data visualization

The main difference between a Temporary Adobe Data Analyst and a Temporary Tableau Data Analyst lies in the tools and focus areas. Adobe Data Analysts specialize in Adobe Analytics for marketing insights, while Tableau Data Analysts focus on creating visualizations with Tableau. Both roles require data analysis skills but cater to different industry needs and tool expertise.

What are popular job titles related to Temporary Adobe Data Analyst jobs in Park Ridge, IL?

For Temporary Adobe Data Analyst jobs in Park Ridge, IL, the most frequently searched job titles are:

What cities near Park Ridge, IL are hiring for Temporary Adobe Data Analyst jobs?

Cities near Park Ridge, IL with the most Temporary Adobe Data Analyst job openings:

Temporary Adobe Data Analyst jobs near you

Data Analyst

Chicago, IL • Remote

hyrusinc
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Contractor

Posted yesterday

New

Job description

Title: Data Analyst - IT IV (Product Analyst - CIAM) Location: Remote (Chicago, IL preferred / Central Time alignment) Start Date / End Date: 09/10/2026 - 03/12/2027


POSITION OVERVIEW We are seeking a data-driven Product Analyst to support the Customer Identity and Access Management (CIAM) product area by turning customer identity, authentication, and digital journey data into actionable insights. This role focuses on analyzing platform data across login, registration, enrollment, authentication, and account-recovery experiences to quantify product performance and surface friction points. You will collaborate closely with product, engineering, fraud prevention, UX, operations, and analytics teams to improve measurement strategy and inform roadmap prioritization across customer-facing digital channels.


DAY-TO-DAY RESPONSIBILITIES
Analyze CIAM data across login, registration, enrollment, password reset, MFA, session management, and account recovery journeys to identify trends and friction points.
Build and maintain dashboards and reporting views in Power BI, Excel, or similar tools to track funnel conversion, drop-off rates, error patterns, and authentication success rates.
Partner with cross-functional teams (Product, Engineering, Fraud Prevention, UX, Operations) to define KPIs, event-tracking requirements, and measurement plans.
Translate complex data findings into actionable recommendations and backlog inputs to help prioritize CIAM product enhancements.
Support data analysis for A/B testing, feature rollouts, production changes, incident reviews, and post-release assessments.
Document data definitions, reporting logic, known data limitations, and business rules to ensure consistent metrics across executive and technical stakeholders.


REQUIRED SKILLS
SQL & Data Querying (4+ years): Advanced querying, data extraction, and schema analysis for complex data sets.
Dashboarding & Reporting (4+ years): Hands-on expertise using Power BI, Excel, Tableau, or Adobe Analytics to construct performance views and funnel reports.
Digital Funnel & Customer Journey Analysis (4+ years): Proven experience tracking conversion trends, drop-off rates, error patterns, and user experience telemetry.
Telemetry & Event Tracking Integration (4+ years): Experience defining event-tracking specifications and integrating CIAM platform events into analytics tools.


ADDITIONAL DESIRED SKILLS
Quantum Metric, Splunk, or similar digital observability and log analysis tools.
Understanding of CIAM protocols and concepts (OAuth, SAML, OpenID Connect, MFA).
Practical experience applying AI tools to streamline analysis, documentation, and workflow efficiency.
A/B test analysis, feature rollout evaluation, and agile product backlog refinement.
CANDIDATE PROFILE The ideal candidate is an analytical, business-savvy Product/Data Analyst with strong experience in customer journey telemetry and digital identity or authentication systems. They excel at bridging the gap between raw data and executive strategy, communicating clear narratives to both deep-tech engineering teams and high-level business leaders.