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Associate Degree In Data Analytics Jobs in Burbank, 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 ...

The Associate Data Analyst position performs data analytics for informed decision making ... in Data Analytics or a related field is required. Education * A bachelor's degree in a quantitative ...

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 · 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 ...

The Senior Associate ensures data reliability and consistency by supporting enterprise data quality ... Education * Bachelor's Degree in Data Analytics, Business, Finance, Economics, Engineering ...

... an Associate's degree in Computer Science, Information Systems, Business, or a directly related field, plus two (2) years of data analysis work experience . OR Graduation from an accredited college ...

... an Associate's degree in Computer Science, Information Systems, Business, or a directly related field, plus two (2) years of data analysis work experience . OR Graduation from an accredited college ...

... an Associate's degree in Computer Science, Information Systems, Business, or a directly related field, plus two (2) years of data analysis work experience . OR Graduation from an accredited college ...

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Associate Degree In Data Analytics information

See Burbank, IL salary details

$3.3K

$6.4K

$9.2K

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

As of Aug 12, 2026, the average monthly pay for associate degree in data analytics in Burbank, IL is $6,424.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,833.33 and $6,850.00 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?

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 can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

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.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

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 Burbank, IL? For Associate Degree In Data Analytics jobs in Burbank, IL, the most frequently searched job titles are:
What cities near Burbank, IL are hiring for Associate Degree In Data Analytics jobs? Cities near Burbank, IL with the most Associate Degree In Data Analytics job openings:

Full-time

Posted 8 days ago


Job description

Job Summary:
Technical DataAnalystuses business intelligence and reporting expertise to build the dashboards and reports ourclientsand their end users rely on to report investment portfolio information to their ownclients.These deliverables range from interactive dashboards to scheduled performance and portfolio reports and ad hoc investment analytics.Additionally, the analyst partners with clients, investment teams, and project management to understand reporting requirements and translate them into accurate, timely deliverables.Supporting data analysis, integration, and quality work underpins this reporting, ensuring the information presented is reliable and aligned with customer and company requirements.
Responsibilities:

  • Design, build, and maintaintheBI dashboards and reportsour clients and their end users usefor investor andportfolioreporting.

  • Produce accurate, timely investment and financial reporting-including performance, portfolio, and ad hoc analytics-tailored to client andend-user needs.

  • Develop data visualizations and self-service BI tools that make complex investment data clear and actionablefor clients and their end users.

  • Analyze investment and financial data, delivering insightful reports and commentary on outcomes, trends, and performance drivers.

  • Partner with clients, investment teams, and project management to gather reporting requirements and translate them intoclient-ready deliverables.

  • Combine data from multiple sources into comprehensive, reconciled datasets that support reliable reporting and analytics.

  • Build and maintain the data systems and pipelines that feed BI and reporting solutions.

  • Continuously improve data quality, reporting accuracy, and reliability to uphold the highest standards.


Required Skills:

  • Proficiency with BI and data visualization platforms (e.g., Power BI, Tableau, Looker).

  • Strong understanding of financial and investment reporting concepts, performance metrics, and portfolio analytics.

  • Experience designing and automating reporting dashboards and recurring report production.

  • Deep understanding of investment data.

  • Familiarity with cloud platforms and big data technologies (e.g., AWS, GCP, Azure).

  • Understanding of database design and data warehouse principles.

  • Knowledge of one or more programming languages (e.g.,Java, Python, VBA).

  • Proficiency in data manipulation and data cleansing techniques.

  • Knowledge of data governance and best practices in data management.

  • Continuous improvement mindset for self and team.

  • Ability to work collaboratively in a cross-functional team environment.

  • Ability to work with large datasets and perform data mining tasks.

  • Strong computer skills, including proficiency in Microsoft Office.

  • Excellent attention to detail and strong documentation skills.

  • Outstanding verbal and written communication skills.

  • Strong organizational and interpersonal skills.

  • Exceptional problem-solving abilities.


Education and Experience:

  • Bachelor's degree in data analytics, statistics, accounting,finance,computer science, or related discipline.

  • 5+ years of relevant experience inbusiness intelligence,financial/investmentreporting,data analytics,and visualization.

  • Hands-on experience with SQL and NoSQL databases.

  • Experience with data integration andETL (extract, transform, load)processes.

  • Experience with data visualization tools such as Tableau, Power BI, or D3.js.