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Data Analyst Engineering

Chicago,IL

1547 Data Analyst Engineering jobs in Chicago,IL

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Cost Engineering & Sourcing Strategy Analyst (On-Site)

Ace Hardware Corporation

Oak Brook, IL 60523

~ 27 min Onsite

  • Experience: Minimum of 3-5 years' prior work experience, ideally in some of the following fields: Manufacturing, engineering, commodity trading, sourcing, analytics, forecasting, merchandising, product design, category management, consulting, project management
  • Experience with sourcing software (Coupa, Jaggaer, etc) a plus
  • Able to interpret complex, large volume and sometimes contradictory data to develop fact-backed insights and strategies
  • Demonstrated analytic abilities with an emphasis on critical thinking, root cause analysis, and problem solving required
  • Ability to collaborate effectively in a cross functional team setting to share insights, co-create outputs and iterate with speed
  • Demonstrated self-starter and ability to semi-independently run analysis to drive to answers
  • Clear, proactive and collaborative communicator
  • Can tactfully address issues with internal and external business partners
  • Demonstrates poise, composure, presence, communication skills and an understanding of key data drivers to establish rapport and respect with negotiation partners
  • Experience developing creative solutions that provide win-win outcomes in difficult or ambiguous situations
  • Skilled in coordinating timelines and project managing across multiple simultaneous projects
  • Prior exposure to manufacturing, sourcing, product development desired
  • Possess a positive attitude with a bias towards action
  • Proficient in the use of Microsoft Office Suite
  • Intermediate to advanced Excel skills with a passion for discovering answers and insights
  • Preferably has previous experience using reporting tools such as Alteryx and Power BI
  • Able to collaborate with cross functional teams including Cat Management, Finance, Domestic Merchants, Import Merchants, Pricing
  • Experience with evaluating bid scenarios, calculate cost savings and profit margin impacts (via analytics tools such as eRFx, Alteryx, Power BI, Excel)
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Sr Engineer - Transmission&Substation Protection Analysis

ComEd

Villa Park, IL 60181

$103,200/yr
New, Posted 10 hours ago
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Data Analyst

BMO Financial

Chicago, IL 60604

OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

  • Deep learning.
  • Machine learning.
  • Trust, bias and ethics.
  • Creative thinking.
  • Critical thinking.
  • Mathematics, statistics & operations research.
  • Big data.
  • Data visualization.
  • Computational thinking and programming.
  • Data wrangling.
  • Data preprocessing.
  • Complex problem solving.
  • Analytical acumen.
  • Creative reasoning.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Influence skills.
  • Data driven decision making.
  • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
  • Technical proficiency gained through education and/or business experience.
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General Engineer-Distribution Capacity Planning

ComEd

Villa Park, IL 60181

$92,000/yr
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Senior Engineer - T&S Engineering Programs

Exelon

Villa Park, IL 60181

$103,200/yr
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Sales Operations Analyst

Emery Jensen Distribution, LLC

Oak Brook, IL 60523

Remote

  • This position is not eligible for employment visa sponsorship now or in the future.
  • Bachelor's degree in Business, Analytics, Information Systems, Sales Operations, or a related field; equivalent experience may be considered
  • 2–4 years of experience in sales operations, sales analytics, CRM administration, business analysis, or a related support function
  • Proficiency in Salesforce.com administration and reporting
  • Advanced Microsoft Excel skills, including data analysis and reporting
  • Working knowledge of sales operations, CRM administration, sales reporting, and pipeline management
  • Understanding of sales performance metrics, KPIs, forecasting, lead management, and territory administration
  • Knowledge of data governance, data quality management, and reporting best practices
  • High attention to detail and commitment to data accuracy
  • Ability to organize and prioritize multiple assignments in a fast-paced environment
  • Ability to interpret data and communicate findings clearly to business stakeholders
  • Strong customer service orientation and ability to support end users effectively
  • Effective written, verbal, and interpersonal communication skills
  • Ability to work independently on routine assignments while operating under direction from a supervisor
  • Strong organizational discipline and follow-through on recurring reporting and operational responsibilities
  • Continuous learning mindset with interest in sales technology, analytics, and process improvement
  • Ability to collaborate effectively with sales leaders, field teams, Salesforce administrators, and cross-functional partners
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New, Posted 1 day ago
Lead Product Software Engineer Backend-Focused Full Stack Node.js Azure SQL AI

Wolters Kluwer

Chicago, IL 60684

Software Engineer (GoLang) - 2 Days ONSITE - Chicago, IL - FreeWheel

Comcast

Chicago, IL 60684

Software Engineer Lead

International

Lisle, IL 60532

$112,000/yr
New, Posted 11 hours ago
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Principal Engineer AI

BMO Financial

Chicago Heights, IL 60411

~ 42 min OnsiteBilingual PreferredEducation AssistanceHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline (Master's preferred).
  • 8+ years of software/platform engineering experience (Principal), or 5+ years (Senior), with substantial time building and operating shared platform services at enterprise scale.
  • Demonstrated experience operating production infrastructure with real SLOs and on-call ownership, ideally in a regulated industry
  • Depth in one or more of: API gateways / traffic enforcement; policy-as-code and authorization; workload identity / zero-trust; observability and telemetry pipelines; audit/compliance data platforms.
  • Strong distributed-systems and platform-engineering fundamentals: latency-sensitive request paths, resilience patterns (circuit breakers, failover), multi-tenancy, and high availability.
  • Strong programming skills (Python and/or Go preferred; TypeScript/Java an asset) for building performant services, APIs, and integrations.
  • Cloud-native architecture across AWS and Azure : containers/Kubernetes, service mesh, and Infrastructure as Code (CDK, Terraform, CloudFormation/ARM).
  • Robust CI/CD, GitOps, and DevSecOps practice; Git-based workflows (Bitbucket/GitHub), Jira, Confluence.
  • Policy/Authorization: Cedar, OPA/Rego, policy compilation and distribution, risk-tiered approval workflows.
  • Identity/Zero-Trust: SPIFFE/SPIRE, token-exchange bridging, per-domain trust boundaries, Entra Agent ID integration, on-behalf-of identity propagation, cross-cloud token federation with zero-trust attestation.
  • Observability/Audit: OpenTelemetry (incl. GenAI conventions), distributed tracing, Dynatrace/Splunk or equivalents, tamper-evident/immutable audit stores, data lineage.
  • Gateway/Guardrails: API gateway internals, inline enforcement, LLM routing/abstraction, prompt-injection and PII defenses, hallucination detection, AI evaluation.
  • Registry/Portal: service catalogues, asset registries, lifecycle workflows, federation with external registries.
  • GenAI & Governance Context: Working knowledge of GenAI platform patterns: LLM/AI gateways, RAG and agentic patterns, foundation models, embeddings, and guardrails — sufficient to build the infrastructure they depend on.
  • GenAI & Governance Context: Familiarity with AI/ML platforms (Bedrock, Azure OpenAI, SageMaker, MLflow) and orchestration frameworks (LangChain, LlamaIndex).
  • GenAI & Governance Context: Grounding in Responsible AI, AI/data governance, privacy, cloud security, and IAM as applied to AI workloads.
  • Certifications (Preferred): AWS Certified Solutions Architect (Associate/Professional) / ML – Specialty
  • Certifications (Preferred): Microsoft Certified: Azure Solutions Architect Expert / Azure AI Engineer Associate
  • Certifications (Preferred): Security/identity certifications (relevant to Identity Fabric roles)
  • Certifications (Preferred): Databricks / Google Cloud ML credentials; relevant GenAI/LLM credentials
  • Participates in on-call rotation for owned services
SmartExplore AI is experimental.
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