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2758 Data Anlyst Engineering jobs in Chicago,IL

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Data Analyst - BI & Analytics

WORLDPAC

Oak Brook, IL 60523

$110,000/yr

~ 27 min Onsite

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Information Technology, Business Administration, or a related field.
5 - 7 years of experience as a Data Analyst, BI Analyst, or similar analytics-focused role.
Strong SQL skills with hands-on experience querying cloud data warehouses (Snowflake strongly preferred).
Demonstrated advanced/expert level experience building dashboards and reports using Power BI, including use of semantic models and Microsoft Fabric.
Experience defining and validating KPIs and business metrics.
Solid understanding of descriptive and basic inferential statistics for business analysis.
Advanced Excel for analysis and modeling.
Understanding data governance, metric standardization, and data quality concepts.
Experience working in agile analytics or BI environments using Jira and Confluence, ServiceNow and/or similar tools.
Strong analytical thinking, attention to detail, and problem-solving skills.
Excellent written and verbal communication skills, with the ability to convey insights clearly to non-technical audiences.

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Customer Support Associate (Not IT) - Entry Level | No Experience Required $65,000-$90,000

The Dorne Region

Villa Park, IL 60181

No Experience

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Data Analyst- Sr. {Chicago, IL-Hybrid or #2Mclean, VA}

Matlen Silver

Chicago, IL 60290

New, Posted 15 hours ago

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Principal Software Engineer

Mastercard

Chicago, IL 60290

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Extensive experience in designing and delivering large-scale, distributed systems and platforms.
Proven ability to influence technical strategy and drive architectural decisions across multiple teams.
Strong expertise in modern software engineering practices, cloud-native architectures, and AI/data platforms.
Exceptional communication and leadership skills with a track record of mentoring and thought leadership.
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Data Architecture & Strategy
Focus on designing modern, scalable, governed data ecosystems.
Data strategy and product-aligned data architectures
Modern database technologies and migration away from legacy Oracle
Data lakehouse architectures supporting analytics and ML workloads
Feature catalog / feature engineering platforms
High-Throughput, Low-Latency, and Real-Time Systems
Critical for Mastercard's real-time decisioning and event-driven platforms.
Event streaming and high-throughput data pipelines
Low-latency data technologies (distributed caches, grid replacement)
Real-time transaction processing and sub-second decisioning
Rules engine design and modernization
Cloud Infrastructure, Platform Engineering & DevOps
Driving cloud-native engineering practices and operational excellence.
AWS infrastructure engineering and cloud-native platform patterns
DevOps and platform engineering (automation, CI/CD, observability, GitOps)
ML lifecycle engineering (model training, deployment, refresh, inference)
Deep, progressive experience in software engineering.
Proven technical leadership roles influencing architecture and design across multiple teams.
Proven track record of delivering large-scale, distributed systems and enterprise-grade platforms.

SmartExplore AI is experimental.

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Data Science Engineer

Outlier

Chicago, IL

$50/hr

Remote

2+ years of experience in backend engineering, AI automation, or complex systems integration
Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting)
Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases
Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors
This is a 1099 contract opportunity on the Outlier.ai platform. Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment. You must be authorized to work in your country of residence.

SmartExplore AI is experimental.

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Maintenance Engineering Specialist - Refinery Experience Only

Aramco

Chicago, IL 60290

Onsite

You will hold a Bachelor degree in Engineering from a recognized and approved program.
You will have a minimum of 10 years of relevant experience in the Oil & Gas downstream Sector.
You will be able to demonstrate high degree of technical competence in the area of maintenance programs and practices.
You will have experience with risk-based processes such as Reliability-Centered Maintenance & Risk Based Maintenance
You will have experience with TotalProductive Maintenance
You must have strong hands-on experience with Spare Parts and Materials procurement strategies
You will have Best-in-class Maintenance Planning, Scheduling and Work Prioritization experience
You must have strong Experience with Maintenance budgeting and spending control methodologies.
You will have Experience in field maintenance methodologies, processes, and procedures.
You will be able to demonstrate experience with CMMS such as SAP

SmartExplore AI is experimental.

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