Lead Data Analyst
Lead Data Analyst
Discover Financial Services
Riverwoods, IL
See who Discover Financial Services has hired for this role
Pay found in job post
Retrieved from the description.
Base pay range
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
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for gathering, structuring, and analyzing data and providing recommendations to management. Supports the development of standard data analyses, reports, and dashboards. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.
Responsibilities
- Responsible for gathering, structuring, and analyzing data and providing recommendations to management.
- Presents the results of data analyses and recommendations to management and process owners.
- Partners with the business to identify the appropriate data sources and analysis methodology.
- Supports the development of standard data analyses, reports, and dashboards. Demonstrates technical knowledge of analytical tools.
At a minimum, here’s what we need from you:
- Bachelor's degree in computer science, Engineering, Statistics, Mathematics, Business Administration, Information Technology or related field
- 4+ years of experience in Data analysis and relevant toolsets, or related.
- In lieu of education, 8+ years of experience in Data analysis and relevant toolsets, or related.
If we had our say, we’d also look for:
- Analytical tools such as SAS, R, Python
The application window for this position is anticipated to close on Jul-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 $75,500.00 to $127,900.00. 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
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.
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Information Technology -
Industries
Financial Services, Banking, and Hospitality
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