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Analytics Solutions Manager, Vice President

Chicago, IL, United States

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
**We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).
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What you’ll work on

Full posting
  • Design, build, and maintain data pipelines for the monthly profitability close

  • Automate manual close steps and reduce reliance on spreadsheets

  • Develop scripts and machine learning models for quality control and anomaly detection

  • Prototype and deploy agentic and LLM-enabled tools for daily team use

  • Communicate results and methodology clearly to senior stakeholders

From the employer’s posting
Design, build, and maintain data pipelines that support the monthly profitability close
Automate manual close steps and reduce reliance on high-touch spreadsheets
Develop scripts and machine learning models for quality control, anomaly detection, and reconciliations
Prototype and deploy agentic and LLM-enabled tools that teams can leverage day-to-day
Communicate results, methodology, and key considerations clearly to senior stakeholders
Education & alternatives
Required qualifications, capabilities, and skills - Bachelor’s degree in Finance, Accounting, Data Science, or a related discipline. - 7+ years of experience in data engineering and/or data science, ideally in financial services.
Preferred qualifications, capabilities, and skills: - Master’s degree in Finance, Accounting, Data Science, or a related discipline. - Experience with financial close, profitability, FP&A, and/or reconciliation processes.

Tools in this posting

  • Python
  • SQL
  • Databricks
  • Power BI
  • Sigma
  • Tableau
Source — Tool mentions in context
- 7+ years of experience in data engineering and/or data science, ideally in financial services. - Advanced SQL and Python. - Hands-on experience building data pipelines on Databricks or a similar cloud platform.
- Advanced SQL and Python. - Hands-on experience building data pipelines on Databricks or a similar cloud platform. - Experience applying machine learning to real business problems.
- Demonstrated track record of automating manual processes and designing simple, maintainable analytics workflows - Familiarity with BI tools (Sigma, Tableau, Power BI, or equivalent) - Ability to explain technical work to finance and business partners.

Posting record

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Status in our records
Live
First seen by us
Oct 9, 2026 · 19 days ago
Recorded sightings
149
Last seen by us
Oct 29, 2026

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Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

Job summary

The Analytics Solutions Manager will support WCP’s monthly profitability close by designing and maintaining data pipelines, automating manual workflows, and applying analytics and machine learning to strengthen quality control, anomaly detection, and reconciliations. The role partners closely with Finance, Technology, and P&A to identify and deliver value-add initiatives and will contribute to the implementation of agentic and LLM-enabled capabilities to improve the close process.

 

Job responsibilities

  • Design, build, and maintain data pipelines that support the monthly profitability close 
  • Automate manual close steps and reduce reliance on high-touch spreadsheets 
  • Develop scripts and machine learning models for quality control, anomaly detection, and reconciliations 
  • Extract, transform, and deliver financial data to stakeholders on request and on a recurring cadence 
  • Prototype and deploy agentic and LLM-enabled tools that teams can leverage day-to-day 
  • Partner with Finance, Technology, and P&A to scope and deliver value-add initiatives 
  • Communicate results, methodology, and key considerations clearly to senior stakeholders 

 

Required qualifications, capabilities, and skills 

  • Bachelor’s degree in Finance, Accounting, Data Science, or a related discipline.
  • 7+ years of experience in data engineering and/or data science, ideally in financial services.
  • Advanced SQL and Python.
  • Hands-on experience building data pipelines on Databricks or a similar cloud platform.
  • Experience applying machine learning to real business problems.
  • Demonstrated track record of automating manual processes and designing simple, maintainable analytics workflows 
  • Familiarity with BI tools (Sigma, Tableau, Power BI, or equivalent) 
  • Ability to explain technical work to finance and business partners.

 

Preferred qualifications, capabilities, and skills:

  • Master’s degree in Finance, Accounting, Data Science, or a related discipline.
  • Experience with financial close, profitability, FP&A, and/or reconciliation processes.
  • Hands-on experience building LLM or agentic solutions.

 

 

**We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

Source details

View original posting ↗

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Pay

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Location & working pattern

Chicago, IL, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Hands-on experience building LLM or agentic solutions. **We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

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