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WKO MIS & Strategy - Client Data Associate

Pay
Pay not listed
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 posting
  • Monitor data completeness and accuracy, run root-cause analysis, and drive process fixes

  • Produce periodic and ad hoc reports with trends, drivers and recommended actions

  • Design and enhance Tableau/Qlik dashboards and KPI definitions with business users

  • Automate manual recurring activities and control checks using Python, SQL and Databricks

  • Triage stakeholder requests and set expectations on scope and timing

From the employer’s posting
monitor data completeness/accuracy with attention to details, perform root-cause analysis, and drive process improvements
Own periodic and ad hoc reporting to support global Client Onboarding
Design, build, and enhance dashboards that enable data-driven decisions
identify manual/recurring activities and control checks, propose scalable solutions, and implement automation using Python/SQL/Databricks
triage inbound requests, set expectations on scope/timing

What you’ll bring

All qualifications

Core experience

  • University degree in engineering, computer science, actuarial science, economics, business or equivalent
  • Fluent English, written and verbal
  • Advanced knowledge of Python, SQL and Databricks
  • Proven experience with Tableau and Qlik
  • 2+ years of data management experience
Qualification wording
University degree (Engineering, Computer Science, Actuarial Science, Economy, Business Administration or equivalent)
Fluent in English is mandatory, both written and verbally
Advanced knowledge of programming languages is required (Python, SQL, Databricks)
proved experience with Tableau, Qlik
2+ of experience with data management
Apply at JPMorgan Chase

Posting record

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Status in our records
Live
First seen by us
Sep 30, 202641 days ago
Recorded sightings
198
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 41

Similar jobs usually come down between day 5 and day 43.

Well past JPMorgan Chase’s usual: its jobs 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
Hiring record

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.

  • JavaScript
  • Python
  • SQL
  • Databricks
  • Excel
  • Tableau
  • React
Where the posting names them
- Nice to have: - JavaScript (basic) and React (basic) — able to support lightweight UI/data visualization needs - Databricks — experience building or running analytics workflows in Databricks (e.g., notebooks, pipelines, collaboration)
- Strengthen data quality —monitor data completeness/accuracy with attention to details, perform root-cause analysis, and drive process improvements to meet applicable requirements and reduce rework. - Own periodic and ad hoc reporting to support global Client Onboarding—define requirements with stakeholders, source data (Python/SQL/Databricks), validate results, and deliver executive-ready insights (trends, drivers, “so what,” and recommended actions). - Design, build, and enhance dashboards that enable data-driven decisions—partner with business users to translate needs into KPI definitions, data models, and Tableau/Qlik visualizations; ensure usability, consistency, and adoption.
- Design, build, and enhance dashboards that enable data-driven decisions—partner with business users to translate needs into KPI definitions, data models, and Tableau/Qlik visualizations; ensure usability, consistency, and adoption. - Lead process automation opportunities—identify manual/recurring activities and control checks, propose scalable solutions, and implement automation using Python/SQL/Databricks (with documentation, testing, and controls) - Manage stakeholder communication and prioritization—triage inbound requests, set expectations on scope/timing, tailor outputs to the right audience (technical vs. non-technical), and anticipate upcoming data needs based on priorities.
- Fluent in English is mandatory, both written and verbally. Other languages are a plus. - Advanced knowledge of programming languages is required (Python, SQL, Databricks). - Frontend\Data Visualization Skills, proved experience with Tableau, Qlik.
Preferred capabilities, and skills - Technical skills (required): Python, SQL, Excel — able to extract, clean, transform, and analyze data efficiently across these tools - Strong logical and analytical problem-solving — structured thinking, hypothesis-driven analysis, and ability to translate ambiguity into clear steps
- JavaScript (basic) and React (basic) — able to support lightweight UI/data visualization needs - Databricks — experience building or running analytics workflows in Databricks (e.g., notebooks, pipelines, collaboration)
- Own periodic and ad hoc reporting to support global Client Onboarding—define requirements with stakeholders, source data (Python/SQL/Databricks), validate results, and deliver executive-ready insights (trends, drivers, “so what,” and recommended actions). - Design, build, and enhance dashboards that enable data-driven decisions—partner with business users to translate needs into KPI definitions, data models, and Tableau/Qlik visualizations; ensure usability, consistency, and adoption. - Lead process automation opportunities—identify manual/recurring activities and control checks, propose scalable solutions, and implement automation using Python/SQL/Databricks (with documentation, testing, and controls)
- Advanced knowledge of programming languages is required (Python, SQL, Databricks). - Frontend\Data Visualization Skills, proved experience with Tableau, Qlik. - 2+ of experience with data management.

Your next step

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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.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 966, the most 1,494, and the latest week had 1,494.
August 17Last week

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

View original posting ↗

Job Responsibilities 

  • Strengthen data quality —monitor data completeness/accuracy with attention to details, perform root-cause analysis, and drive process improvements to meet applicable requirements and reduce rework.
  • Own periodic and ad hoc reporting to support global Client Onboarding—define requirements with stakeholders, source data (Python/SQL/Databricks), validate results, and deliver executive-ready insights (trends, drivers, “so what,” and recommended actions).
  • Design, build, and enhance dashboards that enable data-driven decisions—partner with business users to translate needs into KPI definitions, data models, and Tableau/Qlik visualizations; ensure usability, consistency, and adoption.
  • Lead process automation opportunities—identify manual/recurring activities and control checks, propose scalable solutions, and implement automation using Python/SQL/Databricks (with documentation, testing, and controls)
  • Manage stakeholder communication and prioritization—triage inbound requests, set expectations on scope/timing, tailor outputs to the right audience (technical vs. non-technical), and anticipate upcoming data needs based on priorities.

     

    Required qualifications

  • University degree (Engineering, Computer Science, Actuarial Science, Economy, Business Administration or equivalent).
  • Fluent in English is mandatory, both written and verbally. Other languages are a plus.
  • Advanced knowledge of programming languages is required (Python, SQL, Databricks).
  • Frontend\Data Visualization Skills, proved experience with Tableau, Qlik.
  • 2+ of experience with data management. 

    Preferred capabilities, and skills

  • Technical skills (required): Python, SQL, Excel — able to extract, clean, transform, and analyze data efficiently across these tools
  • Strong logical and analytical problem-solving — structured thinking, hypothesis-driven analysis, and ability to translate ambiguity into clear steps
  • Large-scale data handling — comfortable working with high-volume / complex datasets while ensuring data quality and consistency
  • Data visualization & storytelling — builds clear visuals and explains insights in a way that drives decisions
  • Stakeholder-focused ad hoc analysis — quickly understands stakeholder needs, clarifies requirements, and delivers timely analysis with the right level of rigor
  • Communication skills — clear written and verbal communication; able to explain findings to technical and non-technical audiences
  • Product-aligned mindset — connects analysis to outcomes; prioritizes work that improves user/client experience and business impact
  • Learning agility — ramps up quickly on new domains, tools, and processes; adapts to changing priorities
  • Prioritization & capacity management — prioritizes issues, analysis requests, and workstreams based on impact, urgency, and team bandwidth
  • Collaborative working style — partners effectively with team members and cross-functional groups; shares context and raises risks early
  • Implications / “so what” orientation — identifies implications, risks, and recommended actions from analysis (not just metrics)
  • Executive-ready outputs — contributes to concise communication materials for senior management (summaries, briefs, key messages)
  • Nice to have:
  • JavaScript (basic) and React (basic) — able to support lightweight UI/data visualization needs
  • Databricks — experience building or running analytics workflows in Databricks (e.g., notebooks, pipelines, collaboration)
Source details

View original posting ↗

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Sao Paulo, SP, Brazil

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