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Contract Data Analytics Engineer Jobs in Illinois

Data Analytics Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability * Champion self-service capabilities and data literacy among ...

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Prestigious Financial Company is currently seeking a Data Analytics Engineer. Candidate will join a team supporting the design and implementation of cloud infrastructure for internal analytics zone ...

Data Analytics Engineer

Chicago, IL · On-site

$114.50K - $194.70K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer

Chicago, IL · On-site

$114.50K - $194.70K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer - Chicago based position - not eligible for remote work Who We Are We are a new technology company that takes the burden out of cross-community workforce collaboration to ...

Data Analytics Engineer

Chicago, IL · On-site

$114.50K - $194.70K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

They are seeking a Data Analytics Engineer to manage stakeholder relationships, drive technology transformation, and contribute to a fast-paced Agile team while ensuring alignment of IT initiatives ...

Contract Work authorization: Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security ...

Contract Work authorization: Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security ...

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Analytics Engineer

Chicago, IL · On-site

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Analytics Engineer

Chicago, IL · Hybrid

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

BI Analytics Engineer

Chicago, IL · On-site

$52.50 - $68.25/hr

The ideal candidate will bridge business intelligence, advanced analytics, and data science to ... Implement feature engineering, model validation, and performance monitoring. * Collaborate with ...

Analytics Engineer

Chicago, IL · Hybrid

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Role Overview Feastables is building a modern CPG brand at scale, where data is critical to how the ... The Senior Analytics Engineer is responsible for building and maintaining the core data workflows ...

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

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Showing results 1-20

Contract Data Analytics Engineer information

What is the difference between Contract Data Analytics Engineer vs Data Analyst?

AspectContract Data Analytics EngineerData Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; often some experience with cloud platformsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentProject-based, often remote or contract roles within tech, finance, or consulting firmsFull-time or part-time roles in various industries, including healthcare, marketing, and finance
Employer & Industry UsageUsed by companies needing specialized, short-term data solutions, especially in tech and consultingWidely employed across industries for ongoing data reporting and insights

The Contract Data Analytics Engineer focuses on building and optimizing data pipelines and analytics solutions on a contractual basis, often requiring technical expertise in data engineering. In contrast, Data Analysts primarily interpret data, create reports, and support decision-making. Both roles require strong analytical skills, but the Contract Data Analytics Engineer emphasizes data infrastructure and engineering tasks.

What are the most commonly searched types of Data Analytics Engineer jobs in Illinois? The most popular types of Data Analytics Engineer jobs in Illinois are:
What cities in Illinois are hiring for Contract Data Analytics Engineer jobs? Cities in Illinois with the most Contract Data Analytics Engineer job openings:
Data Analytics Engineer

Data Analytics Engineer

Request Technology, LLC

Chicago, IL • Hybrid

$118K - $141.80K/yr

Other

Posted 28 days ago


Job description

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

Responsibilities:

  • Design and maintain company analytics solutions drawing from both raw and semantic data layers
  • Partner with business units to gather requirements and develop targeted analytics solutions
  • Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
  • Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
  • Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
  • Identify and distribute data and analytics best practices across the team
  • Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
  • Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools
  • Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure
  • Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs

Qualifications:

  • Bachelor's or Master s degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience
  • 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
  • Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems & Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind.
  • Comfortable supporting business analysts on high-priority projects
  • Ability to write and optimize complex analytical (SELECT) SQL queries
  • Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
  • Strong Experience with data viz/prep tools (preferably Tableau and Alteryx)
  • Experience with a source code version control repository system, branch management, pull requests (preferably Git)
  • Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake