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System Engineer Data Analyst Jobs in Delaware (NOW HIRING)

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

Siemens

$18 - $50/hr

Intelligence, Software Engineering, Systems Engineering, or a related discipline. * Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with digital ...

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System Engineer Data Analyst information

Can I switch from system engineer to data analyst?

A system engineer can transition to a data analyst role by developing skills in data analysis tools such as SQL, Excel, and Python, as well as gaining knowledge of data visualization and statistical methods. Relevant certifications and experience with data management can facilitate this switch, though it may require additional training or education. Both roles often involve problem-solving and technical expertise, making the transition feasible with targeted skill development.

What cities in Delaware are hiring for System Engineer Data Analyst jobs?

Cities in Delaware with the most System Engineer Data Analyst job openings:

Infographic showing various System Engineer Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

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

Wilmington, DE • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

$83K - $104K/yr

Other

Posted 13 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

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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