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Contractual Adobe Data Analyst Jobs in Delaware (NOW HIRING)

USM

Omniture Analyst-----Need GC and USC

Wilmington, DE · On-site

Use Adobe DTM to deploy measurement strategies - MUST HAVE * Ability to perform data analysis for web questions from both business and IT, identify insights, and present findings. * Proven experience ...

Truveris

Analyst

Wilmington, DE · On-site +1

$65K - $75K/yr

Our proprietary, data-driven technology and deep industry expertise empower smarter pharmacy ... contractual agreements, and business or organizational needs. The range listed is just one ...

Page Mechanical Group, Inc.

Analyst

Wilmington, DE · On-site

$65 - $75/hr

Our proprietary, data-driven technology and deep industry expertise empower smarter pharmacy ... contractual agreements, and business or organizational needs. The range listed is just one ...

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Contractual Adobe Data Analyst information

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

AspectContractual Adobe Data AnalystContractual Tableau Data Analyst
Required CredentialsProficiency in Adobe Analytics, data analysis certificationsProficiency in Tableau, data visualization certifications
Work EnvironmentDigital marketing, analytics teams, advertising agenciesBusiness intelligence, data visualization teams, consulting firms
Employer & Industry UsageMarketing, advertising, e-commerceFinance, retail, consulting
Search & Comparison IntentComparing analytics tools and roles in digital marketingComparing data visualization roles and tools in BI

The Contractual Adobe Data Analyst primarily focuses on Adobe Analytics for digital marketing insights, while the Contractual Tableau Data Analyst specializes in creating visualizations using Tableau for business intelligence. Both roles require data analysis skills but differ in tools and industry focus, catering to different organizational needs.

What does a contractual Adobe Data Analyst do?

A contractual Adobe Data Analyst analyzes data related to Adobe products and services to identify trends, generate insights, and support decision-making. They often use tools like Adobe Analytics and data visualization software, working within project-based or temporary contracts to meet specific business needs.

What are the most commonly searched types of Adobe Data Analyst jobs in Delaware?

The most popular types of Adobe Data Analyst jobs in Delaware are:

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For Contractual Adobe Data Analyst jobs in Delaware, the most frequently searched job titles are:

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Contractual Adobe Data Analyst jobs near you

Lead Business Systems Analyst - Marketing Data and Analytics - Sr. Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

$110 - $160/hr

Other

Posted 6 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks

Job description

Join a team that uses data and analytics to power digital marketing at scale and improve how we connect with customers. You'll help shape targeting strategies and measurement that drive acquisition, engagement, and growth across consumer banking products. We'll rely on your partnership with Marketing, Product, and Technology to turn ideas into measurable outcomes. If you enjoy solving complex problems, improving how teams work, and raising the bar on quality, this role is built for you.

Job summary

As a Lead Business Systems Analyst in Marketing Data and Analytics, you will help design and deliver data-driven audience and targeting solutions that improve campaign execution across digital channels. You'll translate business goals into clear requirements, define data and process standards, and partner with teams to implement changes that are measurable and repeatable. You'll help us strengthen how we manage audiences and data so we can move faster, reduce rework, and improve performance. You'll also identify responsible uses of artificial intelligence to improve speed, quality, and control in marketing execution.

Job responsibilities
  • Design data and audience management approaches that enable consistent, reusable targeting and measurement across campaigns.
  • Develop data quality monitoring and automated operational reporting to reduce manual work and improve reliability.
  • Analyze performance and targeting inputs from systems of record and approved analytical signals to improve relevance and efficiency.
  • Standardize audience outputs and documentation (requirements, definitions, and testing checklists) to accelerate delivery and reduce defects.
  • Manage end-to-end execution for data initiatives, including monitoring, issue triage, and proactive alerting to protect delivery and results.
  • Partner with Product and Technology to define functional designs and delivery plans for platform enhancements and cross-channel initiatives.
  • Identify responsible artificial intelligence opportunities and support "human-in-the-loop" operating models with clear controls, explainability expectations, and measurable outcomes.
Required qualifications, capabilities, and skills
  • Bachelor's degree in Data Science, Statistics, Information Systems, or a related field.
  • Experience in data analytics and/or customer segmentation, with the ability to connect analytical outputs to campaign execution outcomes.
  • Proficiency with SQL and common analytics and reporting tools (for example: Python, Excel, Tableau, Adobe).
  • Ability to translate business requirements into technical specifications and communicate complex topics to non-technical partners.
  • Strong understanding of digital marketing fundamentals, measurement, and test-and-learn optimization.
  • Strong project execution skills, including planning, dependencies, and risk/issue management across stakeholders.
  • Strong written and verbal communication skills, with the ability to influence partners and explain artificial intelligence-supported decisions and controls clearly.
Preferred qualifications, capabilities, and skills
  • Experience in marketing operations and/or marketing technology, including exposure to artificial intelligence-enabled targeting or decisioning.
  • Experience with agile delivery and project management tools (for example: Jira, Confluence, Microsoft Project, PowerPoint).
  • Experience with customer data platforms and marketing automation tools (for example: Salesforce, Segment, SAS, Adobe, Microsoft).
  • Experience working with agencies and/or consultancies, including translating vendor capabilities into governed requirements.
  • Ability to manage multiple initiatives under tight timelines while maintaining quality and consistency.
  • Strong relationship-building and negotiation skills, including alignment on responsible artificial intelligence use, governance needs, and success measures.
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