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Full Time Data Analyst Jobs in Normal, IL (NOW HIRING)

MRO Analyst

Normal, IL

$63K - $79K/yr

Beyond tracking shipments, you will leverage data to analyze supplier performance, optimize ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

MRO Analyst

Normal, IL · On-site

$63K - $79K/yr

Beyond tracking shipments, you will leverage data to analyze supplier performance, optimize ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

Staff SAP Analyst, EWM

Normal, IL · On-site

$114K - $142K/yr

ASN data receiving, validation, Transportation mgmt., Goods receipt, Putaway bin determination ... Rivian provides robust medical/Rx, dental and vision insurance packages for full-time and part-time ...

ASN data receiving, validation, Transportation mgmt., Goods receipt, Putaway bin determination ... UNAVAILABLEEmployment Type: FULL_TIME

IT Support Analyst

Normal, IL · On-site

$28.50 - $32.25/hr

Job Type Full-time Description At CIT Trucks, LLC , we fuel the engine of the American economy ... Comprehension of written data in related work documents * Ability to approach problems using logic ...

Produce clear and concise reports to summarize data collected and be able to clearly present this ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

Failure Analysis Technician

Normal, IL · On-site

$34.17 - $42.71/hr

Produce clear and concise reports to summarize data collected and be able to clearly present this ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

... Data Analysis, VAVE • Proactive • Project Planning • Develop, Design, Validate and Release ... Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees ...

... Data Analysis, VAVE • Proactive • Project Planning • Develop, Design, Validate and Release ... Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees ...

A deep understanding of reliability concepts and applying data analysis to drive priorities ... Full-time employee coverage is effective on their first day of employment. Part-time employee ...

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Showing results 1-20

Full Time Data Analyst information

See Normal, IL salary details

$33.2K

$80.8K

$133K

How much do full time data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for full time data analyst in Normal, IL is $80,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,800.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

What are typical collaboration partners for a Full Time Data Analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What does a Full Time Data Analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What are the key skills and qualifications needed to thrive as a Full Time Data Analyst, and why are they important?

To thrive as a Full Time Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.
What are the most commonly searched types of Data Analyst jobs in Normal, IL? The most popular types of Data Analyst jobs in Normal, IL are:
What job categories do people searching Full Time Data Analyst jobs in Normal, IL look for? The top searched job categories for Full Time Data Analyst jobs in Normal, IL are:
What cities near Normal, IL are hiring for Full Time Data Analyst jobs? Cities near Normal, IL with the most Full Time Data Analyst job openings:
Data Scientist (Dallas)

Full-time

Posted 12 days ago


Job description

Data Scientist 

 

About Us: 

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.


Role Summary 

The on-site technical presence during the pilot and Wave 1. Works directly with the customer's

maintenance team to validate alerts, tune models, and build trust in the platform's outputs.

This role requires someone who can explain machine learning predictions in maintenance

engineering language, not data science jargon.


Responsibilities 

Discovery & Baseline (Weeks 1-2)

  • Conduct the BMS protocol audit alongside the customer's controls engineer - identify available tags, data quality, polling rates, historian configuration
  • Extract and analyze the 30-day historian pull - identify operating modes, load patterns, seasonal variations, and data gaps
  • Build the baseline operating profile for each monitored equipment unit
  • Review the customer's maintenance logs - identify the 3-5 known fault events that will serve as ground truth validation
  • Map the customer's equipment taxonomy to NEIO's equipment family catalog - confirm coverage, flag gaps

Model Tuning & Validation (Weeks 3-5)

  • Monitor live anomaly scores and triage the first alerts - determine true positive vs. false positive vs. ambiguous
  • Facilitate the alert review sessions with the site maintenance lead - present alerts in context, gather feedback, document site-specific operating knowledge that affects interpretation
  • Tune the physics constraint gate to the site's operating ranges - adjust thermodynamic bounds, load-dependent thresholds, equipment-specific parameters
  • Calibrate fault classification confidence thresholds - Platt scaling, ECE measurement, reliability diagram review
  • Validate time-to-failure estimates against known maintenance history
  • Document all tuning decisions and rationale - this becomes the playbook for fleet rollout

Phase 2 (Wave 1 Sites)

  • Travel to Wave 1 sites for the 1-week discovery phase at each site
  • Conduct on-site tag mapping review with each site's controls engineer
  • Facilitate the alert review session at each Wave 1 site
  • Train the offshore Data Scientist on site-specific tuning decisions so they can handle
  • Wave 2 remotely

 

 

Expected Background 

  • 5+ years in applied data science or machine learning - predictive maintenance, anomaly detection, or industrial process optimization
  • Strong understanding of time-series analysis, classification models (XGBoost, LightGBM), and calibration techniques
  • Ability to explain model behavior to non-technical maintenance engineers - "the model flagged this because superheat is trending 3 degrees above normal for this load condition" not "the feature importance vector shows..."
  • Comfortable working on-site at a data center or industrial facility
  • Experience with HVAC, mechanical, or electrical systems is a strong advantage - someone who knows what a chiller does, what COP means, why approach temperature matters
Employment Type: FULL_TIME