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2523 Systems Analyst Engineer 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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Information Systems Technician

U.S. Navy

Cicero, IL 60804

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Principal Software Engineer

Mastercard

Chicago, IL 60290

RemoteUrgently HiringEducation 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.

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Reliability & Asset Integrity Engineer

Aramco

Chicago, IL 60290

Onsite

You will hold a Bachelor's degree in Electrical Engineering.
You will have a minimum of 10 years of experience in Oil & Gas, Petrochemical Industry or Power utility in the field of Power Systems Reliability & Asset Integrity Management working on High Voltage Electrical Equipment.
You will be familiar with reliability programs such as (RAM, RCM, RMS, MTBF, Bad actors, etc.) including SAP system or equivalent computerized systems.
Work Location: Within Saudi Arabia – To be specified in Job offer

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Analytics Developer

Covista

Chicago, IL 60290

HybridHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Computer Science, Engineering or Information Systems. Required
Two (2) years Proficient BI developer with developing BI reports and Dashboards in Power BI Required.
Five (5) years overall in BI-related experience.
Three (3) years SQL experience with Relational Database Management Systems (RDBMS).
Experience with the Agile Methodology.
Experience in data modeling and entity relationship diagram conventions and various data modeling patterns.
Experience using cloud technologies such as Snowflake and AWS..
Knowledge in performing data manipulation using Dataflows, Power Query and DAX calculations using Power BI.
Understanding and application of BI technologies, including security, portal settings, data connection settings, refresh frequencies, interaction with data sources, etc.
Strong visualization skills with proven ability to utilize the full functionality of Power BI or similar BI tools.

SmartExplore AI is experimental.

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