128 Data Analyst Jobs in Chicago, IL
Discover Financial Services is Hiring a Data Analyst Near Chicago, IL
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description:
Responsible for designing analytical frameworks and leading the development of analytic solutions. Determines how to analyze and utilize a wide variety of structured and unstructured data sources. Leads efforts to build analytical capability.
Providing strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.
Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.
Responsibilities
Collaborates with cross-functional partners to understand their business needs, formulate, and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.
Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.
Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.
Engages in continual learning to maintain a high level of competency in statistical and analytical principles, tools, and techniques.
Minimum Qualifications
At a minimum, here’s what we need from you:
Master's Degree in Business, Engineering, Information Technology, Mathematics, Statistics, Economics, Finance, or related technical/quantitative field
1 years of experience in Quantitative, Analytics, Data Science, Technical, or related field
In lieu of a Master’s Degree, 2 years of experience in Quantitative, Analytics, Data Science, Technical role with a Bachelor's Degree in a quantitative/technical field
Preferred Qualifications
If we had our say, we’d also look for:
2 years of experience in Quantitative, Analytics, Data Science, Technical, or related field
#li-cs1
Application Deadline: The application window for this position is anticipated to close on May-13-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.
Compensation: The base pay for this position generally ranges between $65,000.00 to $109,800.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.
Benefits:
We also offer a range of benefits and programs based on eligibility. These benefits include:
Paid Parental Leave
Paid Time Off
401(k) Plan
Medical, Dental, Vision, & Health Savings Account
STD, Life, LTD and AD&D
Recognition Program
Education Assistance
Commuter Benefits
Family Support Programs
Employee Stock Purchase Plan
Learn more at mydiscoverbenefits.com .
What are you waiting for? Apply today!
All Discover employees place our customers at the very center of our work. To deliver on our promises to our customers, each of us contribute every day to a culture that values compliance and risk management.
Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status. (Know Your Rights & Pay Transparency Nondiscrimination Provision)
Discover complies with federal, state, and local laws applicable to qualified individuals with disabilities and is committed to providing reasonable accommodations. If you require a reasonable accommodation to search for a position, to complete an application, and/or to participate in an interview, please email HireAccommodation@discover.com . Any information you provide regarding your accommodation needs will be kept confidential and will only be used to determine and provide necessary accommodation.
Job Summary
Full Time
Retail
$97k-127k (estimate)
05/10/2024
07/09/2024
discover.com
SALT LAKE CITY, UT
15,000 - 50,000
1986
Private
MIKE SARRIS
$10B - $50B
Retail
Related Companies
About Discover Financial Services
Discover Network provides financial services to the customers.
The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.
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Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
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Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.
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