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职位JPMorgan Chase

Data Management Analyst

JPMorgan Chase

Data Management Analyst

JPMorgan Chase

Bengaluru, Karnataka, India, IN

·

On-site

·

Full-time

·

6d ago

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues.

Job Summary

As a Visualization Expert within the Commercial & Investment Bank, you will be responsible for designing, building, and maintaining data visualizations using Tableau. You will work with complex datasets to create insightful and interactive dashboards that provide reliable and scalable insights for decision-making. Your role involves writing clean, reusable code for data processing, conducting thorough testing of visualizations, and collaborating with other analysts and stakeholders to enhance data accessibility and functionality. You will ensure that visualizations are optimized for performance and are aligned with business objectives.

Additionally, you will demonstrate experience in data wrangling using Alteryx ,SQL, efficiently transforming and preparing data for analysis. Your expertise in Alteryx will be crucial in streamlining data workflows and ensuring the accuracy and integrity of data used in visualizations.

Job responsibilities

  • Data Analysis and Understanding: Collaborate with stakeholders to understand their data requirements and objectives. Work closely with data analysts and data scientists to analyze and interpret data, identifying key insights and patterns that need to be communicated visually.
  • Visual Design and Development: Use data visualization tools such as Tableau, or Python libraries like Matplotlib or Plotly to create compelling visualizations. Design intuitive and visually appealing charts, graphs, dashboards, and interactive visual representations that effectively convey the intended message and highlight key insights.
  • Data Storytelling: Create narratives around the data to effectively communicate the story behind the numbers. Combine visualizations with contextual information, annotations, and explanations to provide meaningful insights and guide stakeholders in their decision-making process
  • Data Exploration and Discovery: Explore datasets to uncover trends, outliers, and relationships. Utilize interactive visualizations to allow stakeholders to interact with the data, drill down into details, and discover insights on their own.
  • Dashboard Development: Design and develop interactive dashboards that consolidate multiple visualizations and key metrics in a single view. Ensure the dashboards are user-friendly, intuitive, and provide the necessary level of interactivity for stakeholders to explore and analyze data effectively.
  • Stakeholder Collaboration: Work closely with business stakeholders, data analysts, data scientists, and other teams to understand their data visualization needs. Collaborate to define visualization requirements, iterate on design concepts, and incorporate feedback to deliver high-quality visualizations that meet stakeholders' expectations.
  • Data Quality Assurance: Perform data quality checks on the underlying datasets to ensure accuracy, consistency, and integrity. Validate the visualizations against the source data to ensure the accuracy of the information being presented.
  • Stay Updated on Visualization Best Practices: Keep abreast of the latest trends, techniques, and best practices in data visualization. Stay updated on advancements in visualization tools and technologies. Continuously develop your skills in data visualization, graphic design, and user experience to enhance the quality and effectiveness of your visualizations.
  • Documentation and Training: Document the design choices, methodologies, and assumptions made during the visualization process. Prepare user guides and documentation to help stakeholders understand and navigate the visualizations. Conduct training sessions or workshops to educate stakeholders on how to interpret and use the visualizations effectively.
  • Collaboration and Communication: Collaborate with cross-functional teams and stakeholders to ensure alignment between data analysis, interpretation, and visualization. Communicate complex findings and insights in a clear and concise manner, tailoring the visualizations to the specific needs and understanding of different audiences.

Required qualifications, capabilities, and skills

  • Over 3+ years of professional experience in Visualization using Tableau, specializing in analytics, with a portfolio showcasing stunning visual narratives.
  • Solid understanding of KPIs, with a proven ability to identify and implement tailored KPIs to enhance various business processes.
  • Proficient in storytelling through data visualization tools like Tableau having developed impactful visual dashboards featuring advanced visuals such as bubble charts, area charts, heat maps, tree maps, funnel diagrams, and more.
  • Results oriented team player and Strong interpersonal and verbal/written communication skills.
  • Excellent communication and presentations skills across various stakeholders
  • Intermediate/Advanced experience using Microsoft Office, including Word, Excel, Visio, and PowerPoint
  • Excellent analytical and logical thinking to understand and analyze complex business processes

Preferred qualifications, capabilities, and skills:

  • Strong experience in Visualization tools preferably Tableau
  • Good to have programming experience using Python.
  • Good understanding of database concepts and strong proficiency in SQL
  • Experience with data wrangling using Alteryx tool for sourcing, integrating, and preparing data for dashboards is highly desirable

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study