London, London, United Kingdom
Actively hiring, first seen by us 12 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Analyze AI tool adoption and use case data for trends and inefficiencies
Translate adoption and portfolio signals into executive-ready narratives
Build interactive dashboards and visualizations for senior stakeholders
Build production-grade Python workflows that integrate multiple data sources
Automate data quality, lineage, reproducibility and near-real-time visibility
Analyze AI tool adoption and use case data to uncover trends, inefficiencies, and opportunities
Translate adoption and portfolio signals into clear narratives, recommendations, and executive-ready materials
Develop and maintain intuitive, interactive visualizations and dashboards for senior stakeholders
Build and maintain production-grade Python data workflows that integrate multiple data sources into cohesive reporting
Design and implement automation to improve data quality, lineage, reproducibility, and near-real-time visibility
Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 12
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.
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Develop and maintain intuitive, interactive visualizations and dashboards for senior stakeholders - Build and maintain production-grade Python data workflows that integrate multiple data sources into cohesive reporting - Use Git-based version control and collaborative development practices in shared repositories
- Strong quantitative problem-solving and analytical skills - Hands-on Python coding capability for data wrangling, automation, ETL-style workflows, and API integrations - Working knowledge of version control using Git and modern development practices (branching, pull requests, code review)
- Working knowledge of version control using Git and modern development practices (branching, pull requests, code review) - Proficiency with analytics and visualization tools such as SQL, Tableau, or Alteryx - Strong written and verbal communication skills, including ability to create executive-ready materials
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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.
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.
Help shape how AI delivers measurable commercial impact across one of the world’s leading financial institutions. In this role, you will turn adoption and portfolio data into clear insights that influence senior leaders and accelerate decision making. You will combine technical execution with stakeholder partnership, building trusted reporting that scales across businesses. You will join a team focused on innovation, reuse of solutions, and an AI-first mindset. If you enjoy connecting data, strategy, and delivery, this is a chance to grow your impact.
As a Strategic Reporting Senior Associate, AI Enablement in the AI Enablement team, you will support centralized reporting, strategic insights, and oversight for AI adoption and the AI and machine learning portfolio. You will track user engagement with AI tools, measure business impact and use case benefits, and analyze tool costs to inform decisions. You will translate complex signals into executive-ready narratives and recommendations. You will also build and maintain scalable data workflows, dashboards, and automation to improve accuracy, visibility, and reproducibility.
Job Responsibilities
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
JPMorganChase’s AI Enablement team drives adoption of AI and accelerates the analytics agenda globally across Markets, Payments, Securities Services, and Global Banking by integrating AI into business workflows and scaling solutions for measurable impact.
#AIEnablement_jobs
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London, London, United Kingdom
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