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Data Analytics Jobs in Romeoville, IL (NOW HIRING)

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 ...

Prepare and maintain technical documentation, data definitions, and process documentation Qualifications & Requirements Minimum Qualifications * 1-2 years of hands‑on experience in data analytics ...

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 ...

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 ...

Showing results 41-60

Data Analytics information

See Romeoville, IL salary details

$25

$55

$96

How much do data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data analytics in Romeoville, IL is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $63.22 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 Romeoville, IL?

The most popular types of Data Analytics jobs in Romeoville, IL are:

What are popular job titles related to Data Analytics jobs in Romeoville, IL?

For Data Analytics jobs in Romeoville, IL, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Romeoville, IL look for?

The top searched job categories for Data Analytics jobs in Romeoville, IL are:

What cities near Romeoville, IL are hiring for Data Analytics jobs?

Cities near Romeoville, IL with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Romeoville, IL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,106 per year, or $55.8 per hour.

Senior Investment Data & Analytics Specialist

Allstate

Chicago, IL • On-site

Full-time

Re-posted 27 days ago


Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 566 frontline employees who took The Breakroom Quiz

222nd of 308 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
We're looking for a sharp, intellectually curious problem-solver to join our Investment Analytics team. This role is built for someone who thrives in ambiguity, tackles complex questions head-on, and doesn't stop when the data doesn't immediately add up.
This role requires a critical thinker with vision who can propose scalable solutions and integrate those with long-term roadmaps. You will often be on the leading edge of our development effort and your ideas will heavily inform our path forward. This role does not have direct management responsibilities, but this person will be influential in directing the efforts of our technology partners.
You'll sit at the intersection of investment strategy, research, analytics, and data, partnering directly with senior leaders to deliver insights that influence portfolio decisions. This is a front-office-facing, high-visibility role focused on building analytics capabilities.
  • Own the entire delivery lifecycle, from design to production, for proprietary applications and processes that enhance how teams evaluate performance, risk, and portfolio positioning
  • Iterate with portfolio managers, analysts, and senior leaders to refine requirements and define outcomes for ongoing development.
  • Propose how new tools will be built, and construct prototypes to test, illustrate and experiment on analytics and workflows
  • Work closely with quant and technology teams to scale new analytics and tools to production applications with a long-term view
  • Own the delivery of complex analytical applications to provide clear, actionable insight for portfolio managers and research analysts
  • Redesign legacy processes to enforce proper governance and bring clarity to ambiguous, multi-system workflows
  • Integrate new data sources and vendors into investment workflows
  • Partner with other teams to troubleshoot analytical outputs across performance, risk, and portfolio analytics
  • Convert ad hoc analyses into repeatable, scalable solutions
  • Mentor junior team members by sharing expertise, providing guidance, and supporting their development

Skills
Analytics
Compensation
Core CapabilitiesExceptional analytical and critical thinking skills
Ability to solve ambiguous, multi-dimensional problems independently
Strong curiosity and willingness to challenge convention
Effective communicator to both technical and investment audiences
Ownership mentality and a commitment to shepherd delivery from start to finish
Experience10+ years in a hands-on investment analytics, data, or a related role
A history of building proprietary applications alongside vendor systems
Strong fixed income expertise (credit, municipals, rates)
Experience working with portfolio management and research teams
Insurance asset management experience is a plus
Familiarity with investment performance and attribution methodologies
Technical SkillsStrong proficiency in SQL and python
Familiarity with enterprise investment platforms such as Aladdin
Experience with data providers - Bloomberg, S&P, CreditScope, Intex, Octus, etc
Ability to enhance workflows by integrating AI tools
Compensation
Compensation offered for this role is 158,000.00 - 205,000.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.
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To view the "EEO Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

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