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.
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.
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.
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)