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Data Analytics Jobs in Normal, IL (NOW HIRING)

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.

Data Science Tutor

Normal, IL ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Parts Analyst Intern

Normal, IL ยท On-site

$15.50 - $17.25/hr

You will dive into our large-volume purchasing data to ensure we maintain the perfect balance of ... Responsibilities of the Parts Analyst Intern entail: * Assist with identifying the sourcing of ...

You will dive into our large-volume purchasing data to ensure we maintain the perfect balance of ... Responsibilities of the Parts Analyst Intern entail: * Assist with identifying the sourcing of ...

Parts Analyst Intern

Normal, IL ยท On-site

$15.50 - $17.25/hr

You will dive into our large-volume purchasing data to ensure we maintain the perfect balance of ... Responsibilities of the Parts Analyst Intern entail: * Assist with identifying the sourcing of ...

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

... analytics applications, while providing technical leadership and leading projects. This role ... Manages a small team of data scientists and data engineers to research, design, develop, deploy ...

IT Architect

Morton, IL ยท On-site

Serve as the technical architect and administrator for the PSLD Data Analytics Platform, ensuring platform reliability, scalability, and performance. * Design, develop, and maintain logical technical ...

Lead AWS FinOps Analyst

Bloomington, IL ยท On-site

$68K - $89K/yr

This highly visible role combines cloud engineering, data analytics, finance, automation, and artificial intelligence while partnering with leaders across the enterprise. This is an opportunity to ...

Lead AWS FinOps Analyst

Bloomington, IL ยท Hybrid

$68K - $89K/yr

This highly visible role combines cloud engineering, data analytics, finance, automation, and artificial intelligence while partnering with leaders across the enterprise. This is an opportunity to ...

Showing results 21-40

Data Analytics information

See Normal, IL salary details

$23

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Normal, IL is $53.52, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $60.62 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Normal, IL? The most popular types of Data Analytics jobs in Normal, IL are:
What job categories do people searching Data Analytics jobs in Normal, IL look for? The top searched job categories for Data Analytics jobs in Normal, IL are:
What cities near Normal, IL are hiring for Data Analytics jobs? Cities near Normal, IL with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Normal, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,329 per year, or $53.5 per hour.

Principal Data Engineer, Product Data

Triwill Group

Washington, IL โ€ข On-site

$176 - $270/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.


This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.


The Technology, Data, and Intelligence Team

Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.


The Principal Data Engineer Opportunity

Oktaโ€™s Data Engineering team is on a mission to accelerate Oktaโ€™s scale and growth by building platforms that are utilized across the organization. With the growth of AI in our Products and our business, Oktaโ€™s data is more critical to our success than ever. As a Principal Data Engineer on the Data and Insights team, you will be a key technical leader responsible for architecting, building, and maintaining our most critical and scalable data solutions.


This role will work closely with our Product Engineering teams to ensure that valuable user behavior on our products is captured in an efficient and scalable manner, unlocking insights that will drive adoption and growth. This involves leading projects and collaborating closely with product engineers, analytic engineers, data analysts and data scientists to ensure data availability and integrity.


As a Principal member of the team you will have a proven ability to tie engineering initiatives to product and business impact. You will also demonstrate a strong sense of judgement, and the ability to influence across the organization.


What youโ€™ll be doing

  • Design, build and evolve high scale data solutions that serve as the reference architecture for the organization and simplifying data access across the organization

  • Develop data quality frameworks, monitoring, anomaly detection, and alerting, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers

  • Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization

  • Lead cross-functional technical initiatives across data verticals to accelerate delivery and harden data systems

  • Navigate ambiguity and make sound technical decisions, balancing short-term delivery with long-term infrastructure investment

  • Champion Data Contracts: implement data contracts and schema evolution practices to ensure reliability across global product teams

  • Mentor and Scale: Raise the technical bar by mentoring senior engineers, leading cross functional task forces, and fostering a culture of engineering excellence and data driven decision making

  • Stay at the forefront of the data landscape, adopting and advocating for emerging technologies and practices to guide the teamโ€™s long-term technical direction


What youโ€™ll bring to the role

  • Experience: 10+ years in a data engineering role, with proven experience in a senior or lead capacity. Experience with Federal government compliance and security requirements is highly desirable.

  • Product knowledge: Deep expertise in product behavioral data engineering โ€“ specifically in telemetry data, including structured data for product launch analysis, feature usage, retention and other critical product lifecycle metrics.

  • Proven experience working closely with Product Engineering teams to partner on successful instrumentation for data collection.

  • Technical Expertise: Expert-level experience with SQL, ETL/ELT tools (Airflow, dbt), and MPP databases (Snowflake, Redshift). Extensive handsโ€‘on experience with AWS services (S3, Lambda, EMR, ECR, EKS).

  • Modern Architectures: Deep experience designing and working with lakehouse architectures (Databricks) and modern file formats (Iceberg, Delta).


The Okta Experience

  • Supporting Your Well-Being

  • Driving Social Impact

  • Developing Talent and Fostering Connection + Community


We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.


The annual base salary range for this position for candidates located in the San Francisco Bay area is between $197,000 โ€” $270,600 USD.


The annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between $176,000 โ€” $242,000 USD. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401k, flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit https://rewards.okta.com/us.


Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.


If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.


Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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