Pay
$94.1K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,018 postings in the last year. Stated ranges, not salaries paid.
Analytics Solutions Manager, Wholesale Lending Services
Chicago, IL, United States
Live, first seen by us 29 days ago- Pay
- Pay not listedSimilar roles state $94K–$145K
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 202629 days ago
- Recorded sightings
- 38
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 29
Similar jobs usually come down between day 5 and day 43.
At JPMorgan Chase, jobs usually come down by about day 15.
From 13,640 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Tableau
Where the posting names them
- 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.
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About JPMorgan Chase
- People
- About 318,512 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as JPM.
- Layoff notices
- Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.