Data Operation - Associate @ JPMC Candidate Experience page
placeMumbai, Maharashtra, India
businessOn Site
scheduleFull time
Posted 3 days ago
Your Application Journey
Interview
Email Hiring Manager
***** @jpmorganchase.com
Recommended after applying
Job Details
About the Data Operations Associate Role
Build your career as you dive into the depths of data and find new ways to unlock pathways to transformative solutions. As a Data Operations Associate in the Data Analytics Team, you will conduct intermediate analysis to uncover patterns leading to new questions and solutions through data collection, integrity, utilization, requirements, and analysis.
Key Responsibilities
- Support information delivery and collection to inform business strategies.
- Evaluate data and processes for precise analysis and reporting.
- Validate hypotheses, mitigate risks, and optimize solutions.
- Support development of predictive models and data insights.
- Build dashboards and visualizations using business intelligence tools.
- Gather stakeholder requirements and translate them into technical specifications.
Required Qualifications and Skills
- 3+ years of experience in data-driven problem solving.
- Proven ability in gathering and analyzing complex data.
- Experience with dashboard design and graphical visualization.
- Proficiency in at least one data technology tool and relational databases.
- Intermediate skills in Microsoft Office suite.
Preferred Qualifications
- Bachelor’s degree preferred.
Key skills/competency
Data Analysis, Dashboard, Reporting, BI Tools, Data Visualization, SQL, Predictive Modeling, Risk Mitigation, Requirement Gathering, Microsoft Office.
How to Get Hired at JPMC Candidate Experience page
🎯 Tips for Getting Hired
- Research JPMC's culture: Understand their mission and values.
- Customize your resume: Highlight key data analysis skills.
- Showcase BI expertise: Detail your dashboard projects.
- Prepare for interviews: Be ready to discuss analytics tasks.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL queries and database concepts.
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Practice building dashboards with BI tools.
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Refine data visualization techniques.
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Study predictive model development.
Behavioral Questions
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Describe a challenging data project.
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Explain your teamwork in data tasks.
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Discuss time management during analytics projects.
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Share problem-solving approaches in analysis.
Frequently Asked Questions
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