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Data Analyst Professional Jobs in Park Ridge, IL

... of professional experience, with a minimum 2 years of relevant Data Analytics experience • ... Extensive experience in technical business analysis in the fintech industry • Exceptional ...

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Minimum of 2+ years of professional experience in data analytics or a related technical role. * Strong proficiency in SQL, including experience writing complex queries. * Strong Python development ...

This is an excellent opportunity for recent graduates and early-career professionals who are passionate about data analytics, business intelligence, and data-driven decision-making. Key ...

Senior Commercial Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

This role is ideal for an analytical professional who enjoys building solutions, improving ... improve data visibility, support forecasting, and provide insights that influence strategic ...

Data Analyst

Chicago, IL · On-site

$18/hr

We're looking for a friendly, professional, and motivated Data Analyst to join our Client Service team. If you're looking for an organization that embraces the principles of respect, compassion, and ...

* Collect, clean, and analyze technology data from various sources to identify trends, patterns, and ... Encourages teamwork, professionalism and high morale, throughout the department and the Bank.

... 10,000 professionals across North America (U.S., Canada), Asia Pacific (India, Philippines ... Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position:

Maintain professionalism and confidentiality when working with sensitive client and program data ... Analyze program data to identify trends in service utilization, referral patterns, client ...

Maintain professionalism and confidentiality when working with sensitive client and program data ... Analyze program data to identify trends in service utilization, referral patterns, client ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Tuition Assistance Program that covers professional continuing education. Employee Perks * On-site ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Tuition Assistance Program that covers professional continuing education. Employee Perks * On-site ...

Capacity Planners scope, analyze and forecast the infrastructure demand that powers our diverse set ... This role will be part of a team of capacity planning professionals who have experience with ...

Data Analyst II

Chicago, IL · On-site

$71.20 - $124.50/hr

... professional expertise.* Experience and/or expertise in one or more of the following: Statistical & Machine Learning modeling; Data Visualization & Dissemination; Analytics Engineering & Architecture;

Minimum of 3 years of professional experience working as a data analyst or data scientist is required * Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics ...

Minimum of 3 years of professional experience working as a data analyst or data scientist is required * Bachelor's degree in an analytical discipline, such as engineering, mathematics, statistics ...

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Data Analyst Professional information

See Park Ridge, IL salary details

$33.5K

$81.3K

$133.8K

How much do data analyst professional jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data analyst professional in Park Ridge, IL is $81,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,400.00 per year, depending on experience, location, and employer.

What is a data analyst professional?

Data Analyst Professionals are experts who collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and techniques to interpret data sets, identify trends, and generate actionable insights. Their work often involves cleaning data, designing reports or dashboards, and communicating findings to stakeholders. Data Analysts typically work across various industries, such as finance, marketing, healthcare, and technology. They play a crucial role in helping businesses optimize operations and achieve strategic goals.

What are the key skills and qualifications needed to thrive as a data analyst professional?

To thrive as a Data Analyst Professional, you need strong analytical skills, proficiency in statistics, and typically a degree in a quantitative field such as mathematics, computer science, or economics. Familiarity with data analysis tools and programming languages like SQL, Python, R, and visualization software such as Tableau or Power BI, along with certifications like Microsoft Certified: Data Analyst Associate, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These skills and qualities are crucial for transforming complex data into valuable business intelligence that drives informed decision-making.

What are the most common challenges data analyst professionals face when working with cross-functional teams?

Data Analyst Professionals often collaborate with teams from marketing, product, engineering, and management, each with different data needs and levels of technical understanding. A common challenge is translating complex data findings into actionable insights that are accessible to non-technical stakeholders. Additionally, aligning data priorities, ensuring data integrity across sources, and managing multiple project deadlines can require strong communication and organizational skills. Building relationships and setting clear expectations early on can help overcome these challenges and ensure productive cross-team collaboration.

What is the difference between Data Analyst Professional vs Data Scientist?

AspectData Analyst ProfessionalData Scientist
Required CredentialsBachelor's in Statistics, Data Analysis, or related fields; certifications like Microsoft Excel, TableauBachelor's or Master's in Computer Science, Statistics, or related; certifications like Python, R, or machine learning courses
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, predictive modeling, advanced analytics, machine learning
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, research institutions, finance, healthcare

While both roles analyze data, Data Analyst Professionals focus on interpreting data for business insights using visualization tools, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most commonly searched types of Data Analyst jobs in Park Ridge, IL?

The most popular types of Data Analyst jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Data Analyst Professional jobs?

Cities near Park Ridge, IL with the most Data Analyst Professional job openings:

Full-time

Re-posted 9 days ago


Job description

Location: Hybrid 3x a week onsite in Chicago IL (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Description
NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role, your duties will include system analysis of various applications and databases and translating those to documentation. You may also be required to create high level acceptance criteria using that documentation.
To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
Responsibilities:
• Analyze several existing systems to document fields and functions. Create detailed functional documentation those systems.
• Relate current systems to industry standards to help build a new system.
• Manage the execution of data analytics projects to drive value and gain insight from information.
• Analyze and review the use of advanced data analysis techniques that leverage technology to process large volumes of data, and perform complex computations in a scalable, reproducible and automated manner.
• Use data analysis to detect patterns leading to more efficient testing and data quality.
• Perform data analytics to identify and mitigate audit risks and achieve data automation, reconciliation, traceability, lineage and transparency.
• Use data analytics to provide actionable, timely and accurate data to drive business insights around regulatory risk, compliance, operations and finance.
• Familiar with data sourcing, data capture, data transformation and data preparation techniques
• Familiarity with Data Binning and K-means Clustering and applying those techniques.
• Working knowledge of core financial processes and related risks and controls and underlying data structures would be beneficial.
Skills and Experience:
• A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems.
• Minimum 5 years of professional experience, with a minimum 2 years of relevant Data Analytics experience
• Extensive experience in technical business analysis in the fintech industry
• Exceptional communication skills toward facilitating the use of new software systems
• Knowledge of visualization tools like Tableau, Spotfire, Qlikview, etc. would be a plus
• Knowledge of ACL, databases, and hands on experience / theoretical knowledge in SQL including writing stored procedures and data extraction / manipulation using queries would be a plus