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Associate Degree In Data Analytics Jobs in Chicago, IL

Bachelor's degree in Data Science, Business Analytics, Computer Science, Information Systems, or a related field required; advanced degree a plus * Minimum 10 years of experience in data analytics ...

Required : • Minimum Bachelor's degree in data science, statistics, finance or accounting • 7+ years of experience in data analytics, with relevant financial experience • Familiarity with data ...

Bachelor's degree in one of the following (or related field): * Computer Science * Information Systems * Data Analytics / Data Science * Engineering * Mathematics / Statistics * Business (with strong ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: * Insight Generation & Strategic Analysis * Partner with business leaders ...

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

Data Analytics & Reporting This is a hybrid role requiring 3-4 days in the Chicago or San Fran office Key Responsibilities: * Insight Generation & Strategic Analysis * Partner with business leaders ...

Sr Manager, Data & Analytics

Chicago, IL · On-site

$160K - $180K/yr

Bachelor's degree in Finance, Accounting, Business Analytics, Information Systems, Data Analytics, or a related field. * 7+ years of experience in finance data, analytics, finance transformation ...

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Associate Degree In Data Analytics information

See Chicago, IL salary details

$3.3K

$6.5K

$9.3K

How much do associate degree in data analytics jobs pay per month?

As of Jul 26, 2026, the average monthly pay for associate degree in data analytics in Chicago, IL is $6,480.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,883.33 and $6,908.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Chicago, IL? For Associate Degree In Data Analytics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Chicago, IL look for? The top searched job categories for Associate Degree In Data Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Associate Degree In Data Analytics jobs? Cities near Chicago, IL with the most Associate Degree In Data Analytics job openings:
Infographic showing various Associate Degree In Data Analytics job openings in Chicago, IL as of July 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $77,822 per year, or $37.4 per hour.
Data Engineer / Data Analyst Associate - Business Transformation

Data Engineer / Data Analyst Associate - Business Transformation

DuPont

Chicago, IL

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


DuPont rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

27th of 100 rated chemical manufacturers


Job description

Experience a 45X+ award-winning culture!

Embarkers enjoy:

  • Work-life integration: We encourage our team to balance work with personal life. 95% of our employees feel they can take time off when necessary

  • Growth and development: We offer continuous learning opportunities, including CPE credits and coaching, to support our employees' professional growth and ensure they execute excellently for clients

  • Award-winning culture: Recognized for our outstanding workplace environment, we prioritize the happiness and well-being of our team

Embark isn't your ordinary consulting firm. We're committed to cultivating a workplace where everyone can thrive-where happiness is at the core of our success. Where Happy Works. Our team is dedicated to solving complex problems for finance, accounting, HR, and technology leaders with forward-thinking solutions and unparalleled hospitality. Here are a few reasons why 93% of Embarkers agree that we offer special and unique benefits:

  • Unlimited PTO: Enjoy unlimited PTO to recharge and pursue your passions

  • Comprehensive healthcare: 100% paid premiums for you and your family

  • Whole human growth: $150 monthly stipend for holistic development

  • Career advancement: Access to CPE credits, learning platforms, coaching, and professional development

  • Financial support: Up to 3% 401(k) matching and financial advisory services

  • Team and community engagement: Monthly social events within your market, charitable matching, and great people!

What you'll be doing
This role will be instrumental in developing and maintaining scalable data infrastructures that are foundational for advanced analytics and data-driven decision-making. Working within Embark's Data & Analytics practice, this associate will support client engagements that span data strategy, integration, and reporting - often for clients with a strong finance and accounting orientation. This role is ideal for someone with a solid technical foundation in data architecture and engineering, who is eager to grow in a client-facing, consulting environment.

Key Responsibilities

  • Assist in designing, building, and maintaining efficient and reliable data pipelines using tools such as Fivetran, Snowflake, Azure Data Factory, and Databricks

  • Support the implementation of data management systems to meet business and technical requirements

  • Work collaboratively with data engineers and analysts to optimize data collection, transformation, and processing

  • Help build and maintain reports and dashboards (Power BI, Tableau) that translate raw data into client-facing insights, supporting the handoff from data engineering to business intelligence

  • Contribute to the integration of new data management technologies and software engineering tools

  • Help maintain data security and compliance according to industry standards

  • Participate in troubleshooting and resolving issues in data pipelines

  • Help evaluate and integrate new data management technologies, software tools, and AI-powered analytics and automation solutions to improve efficiency and insight generation

  • Communicate effectively with client stakeholders - including finance and accounting teams - to understand requirements and translate them into technical solutions

  • Support multiple client engagements simultaneously in a fast-paced, MVP-driven delivery model


Required Qualifications

  • Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related program

  • 0-2 years of relevant experience in a data engineering or analytics role; management consulting experience a plus

  • Proficiency in SQL

  • Experience with, or strong interest in, cloud data platforms such as Snowflake and Databricks

  • Familiarity with Microsoft data & analytics tools (Azure Data Factory, Azure Synapse, SQL Server) a plus

  • Experience with programming languages such as Python, Java, or Scala

  • Exposure to BI/visualization tools (Power BI, Tableau) preferred

  • Familiarity with or interest in AI/ML tools and their application to data analytics is a plus

  • Interest in or exposure to ERP and finance systems (e.g., NetSuite) a plus

  • Strong problem-solving abilities and a detail-oriented mindset

  • Excellent communication skills, with comfort engaging directly with client stakeholders

  • Ability to work effectively in a team and manage multiple priorities across engagements

What's in it for you:

  • We pay 100% of insurance premiums on medical, dental, and vision for you AND your family

  • Typical compensation range of $85,000- $95,000

  • We match 50% to 6% on our 401K

  • Fully paid parental leave for all new parents

  • Monthly stipend for whole human wellness

  • All the technology you'll need to be successful, the most advanced software, and accessories to ensure you get the job done in style

  • Monthly team outings (think: axe throwing, a trip to the State Fair, go-kart races, etc.)

In closing...

If this role sounds exciting, apply and let's start the conversation!


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Upon offer of employment, employees will be asked to submit to a background check and drug screen. Dependent on ongoing client requirements, employees may also be asked to submit to a drug screening and background check throughout employment.


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