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Live In Data Analyst Developer Jobs in Rosemont, IL

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years ... experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In ...

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years ... experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In ...

Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred * Experience with data manipulation and ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred * Experience with data manipulation and ...

Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred * Experience with data manipulation and ...

Data Analyst Lead

Chicago, IL · On-site

$65K - $95K/yr

Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics, finance, or computer programming is strongly preferred * Experience with data manipulation and ...

Showing results 41-60

Live In Data Analyst Developer information

See Rosemont, IL salary details

$13

$33

$62

How much do live in data analyst developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for live in data analyst developer in Rosemont, IL is $33.18, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $37.07 per hour, depending on experience, location, and employer.

What is the difference between Live In Data Analyst Developer vs Live In Data Scientist?

AspectLive In Data Analyst DeveloperLive In Data Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; programming skills in SQL, Python, or RBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentCollaborative teams in tech or finance sectors, often client-facingResearch-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data analysis and development in live environmentsUsed for advanced data modeling, predictive analytics, and research

The main difference is that Live In Data Analyst Developers focus on developing and maintaining data analysis tools in live settings, combining coding with analysis. Live In Data Scientists typically perform more advanced statistical modeling and predictive analytics, often in research or strategic roles. Both roles require strong technical skills, but Data Scientist roles tend to involve more complex statistical work.

Are live in data analyst developer jobs still in demand?

Live-in data analyst developer jobs are relatively rare, as most data analysis roles are based in office or remote environments. However, demand for data analysts and developers with skills in programming, data visualization, and database management remains strong across various industries, especially with increasing reliance on data-driven decision-making.
What cities near Rosemont, IL are hiring for Live In Data Analyst Developer jobs? Cities near Rosemont, IL with the most Live In Data Analyst Developer job openings:

Front Office Analyst Developer

Techvilla Solutions

Northlake, IL • On-site

Full-time

Posted 3 days ago

New


Job description

We are seeking an experienced Front Office Analyst Developer with 8–10 years of experience supporting trading analytics and front-office technology. The ideal candidate will combine business analysis, data analysis, and technical development skills to support trading workflows, build analytical solutions, and collaborate with business and technology teams to enhance trading platforms.

Key Responsibilities
  • Partner with front-office users to understand business requirements and improve trading workflows.
  • Deliver user training, onboarding, and support for trading analytics tools and platforms.
  • Develop analytical utilities and workflow enhancements using Python, SQL, and Excel/VBA.
  • Analyze large datasets, including market data, pricing, forward curves, and trading analytics.
  • Build dashboards and reports using Power BI, Plotly, or similar visualization tools.
  • Integrate data from multiple sources using APIs and data pipelines.
  • Gather user feedback, document business requirements, and collaborate with development teams to deliver enhancements.
  • Participate in Agile ceremonies and support testing, issue resolution, and production support.
Required Qualifications
  • 8–10 years of experience in front-office technology, trading analytics, business analysis, or data analysis.
  • Experience supporting trading, commodities, or energy markets.
  • Strong programming skills in Python.
  • Hands-on experience with SQL, Excel/VBA, and large-scale data analysis.
  • Experience with Power BI, Plotly, Dataiku, or similar analytics tools.
  • Knowledge of APIs, data integration, and data pipelines.
  • Strong analytical, communication, stakeholder management, and problem-solving skills.
  • Bachelor's degree in Engineering, Computer Science, Mathematics, Finance, or a related quantitative field.
Preferred Qualifications
  • Experience with commodity trading analytics, risk management, or supply and demand modeling.
  • Knowledge of ETL processes and workflow orchestration.
  • Experience with AWS, SQL Server, or cloud-based analytics platforms.
  • Familiarity with Agile methodologies and front-office application support.