At a Glance
- Tasks: Deliver decision-grade insights through statistical analysis and mentor a skilled analytics team.
- Company: Join JPMorgan Chase, a leader in global technology and analytics.
- Benefits: Competitive salary, professional development, and opportunities to shape analytical approaches.
- Other info: Be part of a collaborative team driving innovation in analytics.
- Why this job: Make a real impact on technology performance and AI insights in a dynamic environment.
- Qualifications: 10+ years in statistical analytics, relevant degree, and proficiency in Python and Power BI.
The predicted salary is between 80000 - 120000 £ per year.
JPMorgan Chase is seeking a Principal Software Engineer within the Global Technology - Analytics, Insights, and Measurements (GT AIM) team. The role involves delivering decision-grade insights through rigorous statistical analysis, focusing on technology performance and AI impact.
Candidates should have over 10 years of experience in statistical analytics, a relevant degree, and proficiency in tools like Python and Power BI.
The position offers a chance to mentor a skilled analytics team while shaping analytical approaches within the firm.
Principal Data Analytics Engineer — GT AIM Insights & Metrics employer: JPMorgan Chase
Contact Detail:
JPMorgan Chase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Analytics Engineer — GT AIM Insights & Metrics
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at JPMorgan Chase. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your statistical analysis and insights. This is your chance to demonstrate how you can deliver decision-grade insights using tools like Python and Power BI.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your statistical analytics knowledge. Be prepared to discuss how you've used data to drive decisions in past roles.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows you're serious about joining our team and gives us a chance to connect with you right away.
We think you need these skills to ace Principal Data Analytics Engineer — GT AIM Insights & Metrics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical analytics and tools like Python and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to our GT AIM team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Mentoring Skills: Since this role involves mentoring, share examples of how you've guided others in the past. We’re looking for leaders who can inspire and develop a skilled analytics team, so let us know how you’ve done that before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at JPMorgan Chase
✨Know Your Stats
Brush up on your statistical analysis skills. Be ready to discuss specific methodologies you've used in past projects, especially those that relate to technology performance and AI impact. This will show your depth of knowledge and experience.
✨Showcase Your Tools
Make sure you’re comfortable discussing your proficiency in Python and Power BI. Prepare examples of how you've used these tools to deliver insights in previous roles. This will demonstrate your technical capabilities and relevance to the position.
✨Mentorship Matters
Since the role involves mentoring, think about your leadership style and experiences. Be prepared to share examples of how you've guided teams or individuals in the past, and how you plan to foster growth within the analytics team at JPMorgan Chase.
✨Align with Their Vision
Research JPMorgan Chase's approach to analytics and AI. Understand their goals and challenges, and be ready to discuss how your skills and experiences can help shape their analytical approaches. This shows that you're not just a fit for the role, but also for the company culture.