Analytics Solutions Manager, Wholesale Lending Services
Chicago, IL, United States
- Pay
- Pay not listedSimilar roles state $94K–$143K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingAnalyze large-scale operational datasets to find trends and inefficiencies
Develop predictive models and dashboards for lending operations and risk
Communicate findings and recommendations to senior executives
Drive process improvement initiatives using data insights
Collaborate with business, technology, and analytics teams on solutions
From the employer’s posting
Analyze large-scale operational datasets to identify trends and inefficiencies.
Develop predictive models and dashboards for lending operations and risk management.
Communicate findings and recommendations to senior executives clearly and professionally.
Drive process improvement initiatives using actionable data insights.
Collaborate with business, technology, and analytics teams to translate requirements into solutions.
Education & alternatives
Required Qualifications, Capabilities, and Skills: - Hold a bachelor’s degree in data science, Statistics, Computer Science, or related field. - Demonstrate 5+ years of hands-on experience in data analytics within financial services or lending operations.
Preferred Qualifications, Capabilities, and Skills: - Earn a master’s degree in data analytics or related field with 3+ years of experience. - Demonstrate experience in financial services or lending operations.
Tools in this posting
- Python
- SQL
- Tableau
Source — Tool mentions in context
- Demonstrate 5+ years of hands-on experience in data analytics within financial services or lending operations. - Exhibit proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Alteryx). - Apply machine learning techniques and operational analytics to business challenges.
Posting record
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- Live
- First seen by us
- Oct 13, 2026 · 16 days ago
- Recorded sightings
- 25
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Join Data & Analytics team to shape the future of lending operations through advanced analytics and innovative BI solutions. Collaborate with business leaders to deliver actionable insights and drive operational transformation. Impact senior-level decisions and support strategic growth with robust data analysis.
Job Summary:
As an Analytics Solutions Manager in Wholesale Lending Service Data & Analytics, you drive operational excellence through advanced analytics. You partner with cross-functional teams to deliver actionable insights and optimize business processes. You support strategic decision-making by leveraging robust data analysis and business intelligence solutions.
Job Responsibilities:
Analyze large-scale operational datasets to identify trends and inefficiencies.
Develop predictive models and dashboards for lending operations and risk management.
Collaborate with business, technology, and analytics teams to translate requirements into solutions.
Monitor agent performance using quantitative metrics to enhance productivity.
Design and implement data-driven strategies for agentic AI and BI effectiveness.
Communicate findings and recommendations to senior executives clearly and professionally.
Drive process improvement initiatives using actionable data insights.
Leverage statistical techniques to support operational decision-making.
Automate reporting and analytics workflows for efficiency gains.
Ensure data integrity and quality across all analytics deliverables.
Required Qualifications, Capabilities, and Skills:
Hold a bachelor’s degree in data science, Statistics, Computer Science, or related field.
Demonstrate 5+ years of hands-on experience in data analytics within financial services or lending operations.
Exhibit proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Alteryx).
Apply machine learning techniques and operational analytics to business challenges.
Solve complex problems and deliver succinct, actionable insights.
Communicate effectively with executive audiences, presenting complex data clearly.
Manage multiple projects and deadlines in a fast-paced environment.
Preferred Qualifications, Capabilities, and Skills:
Earn a master’s degree in data analytics or related field with 3+ years of experience.
Demonstrate experience in financial services or lending operations.
Lead management consulting engagements related to analytics.
Utilize advanced statistical modeling for operational improvement.
Mentor junior analysts and foster a collaborative team culture.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chicago, IL, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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