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Data Analytics Jobs in Lockport, IL (NOW HIRING)

This role includes a blend of data management, analytics, and business intelligence responsibilities. Candidates at both the Analyst and Consultant level will be considered, position level will be ...

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality * Acquire data from primary or secondary data sources ...

This role includes a blend of data management, analytics, and business intelligence responsibilities. Candidates at both the Analyst and Consultant level will be considered, position level will be ...

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth Key Accountabilities ...

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth Key Accountabilities ...

Showing results 41-60

Data Analytics information

See Lockport, IL salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Lockport, IL is $54.91, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $62.21 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 Lockport, IL? The most popular types of Data Analytics jobs in Lockport, IL are:
What job categories do people searching Data Analytics jobs in Lockport, IL look for? The top searched job categories for Data Analytics jobs in Lockport, IL are:
What cities near Lockport, IL are hiring for Data Analytics jobs? Cities near Lockport, IL with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Lockport, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,210 per year, or $54.9 per hour.

Senior Criminal Justice Data Analytics Consultant - Contractual

Jobtailor

Chicago, IL • On-site

$120 - $160/hr

Other

Posted 3 days ago

New


Job description

Responsibilities
  • Provide temporary leadership and technical support to the Center for Crime and Justice Data and Analytics (CCJDA) during a temporary staffing transition.
  • Work closely with Research & Analysis leadership and CCJDA staff to support the production of statewide statistical reports, public-facing dashboards, administrative datasets, and other data products used by policymakers, practitioners, researchers, and the public.
  • Provide technical oversight and quality assurance for a portfolio of data and reporting projects, including Statistical Analysis Center initiatives funded by the Bureau of Justice Statistics, Justice Counts implementation, Deaths in Custody reporting, Criminal History Record Information audits, and other statewide data initiatives.
  • Collaborate with research staff, data analysts, information technology personnel, and external stakeholders to ensure timely completion of high-quality analytical products.
Requirements
  • Doctoral degree (Ph.D.) in criminology, criminal justice, sociology, public policy, statistics, data science, public administration, or a closely related field.
  • At least ten years of professional experience conducting and leading quantitative research, statistical analysis, data analytics, program evaluation, or public policy research projects.
  • At least five years of experience providing leadership, management, technical oversight, or supervision of professional research, evaluation, analytics, or data staff.
Hard Skills
  • Statistical Analysis
  • Data Analytics
  • Program Evaluation
  • Public Policy Research
  • Quality Assurance
  • Data Reporting
  • Research Methodology
  • Data Visualization
  • Portfolio Management
  • Project Management
Soft Skills
  • Collaboration
  • Leadership
  • Communication
  • Supervision
  • Stakeholder Engagement
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