Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data analysis projects and create impactful dashboards for decision-making.
- Company: Join J.P. Morgan, a global leader in financial services with a people-first culture.
- Benefits: Empowerment to shape data strategy, collaborative environment, and career growth opportunities.
- Why this job: Make a real impact by turning data into valuable insights for business outcomes.
- Qualifications: Proficiency in SQL, Python, and experience with BI platforms required.
- Other info: Diverse and inclusive workplace that values your unique talents.
The predicted salary is between 36000 - 60000 £ per year.
Out of the successful launch of Chase in 2021, we are a new team with a new mission. We are creating products that solve real world problems and put customers at the center, in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We value collaboration, curiosity and commitment.
Join us as our first Senior Data Analyst and shape a brand new data discipline within our platform team. You will have the opportunity to define what great data analysis looks like, promote a culture of data-driven decision making, and make a real impact by partnering with product management and engineering to deliver insights that steer business outcomes. If you are hands-on, detail-oriented, and passionate about turning data into value, this is your chance to lead and innovate.
As a Senior Data Analyst in the platform team, you will own our data-as-a-product strategy from start to finish. You will collaborate with product management, engineering, and senior stakeholders to build dashboards, queries, and reports, monitor KPIs, and translate business requirements into data outcomes. You will define and implement best practices for data analysis, manage the data analysis backlog, and champion data-driven decision making across the department.
Job Responsibilities:
- Build dashboards, queries, and insight reports for senior stakeholders
- Monitor department KPIs and deliver actionable insights
- Collaborate across teams to interpret requirements into data outcomes
- Define, implement, and manage a new data discipline in the department
- Promote a culture of data-driven decision making
- Own the data analysis backlog and strategy for maximizing data value
- Automate and scale data operations and reporting
- Lead end-to-end data projects from requirements to implementation and monitoring
- Translate business problems and customer requirements into data features
- Partner with product, engineering, operations, and leadership to influence decisions
Required Qualifications, Capabilities, and Skills:
- Proficiency with dbt, BigQuery or similar, Looker Studio Pro, Airflow or similar, pandas/polars, numpy
- Advanced SQL skills for complex queries
- Python proficiency for data modelling and manipulation
- Experience with BI platforms for dashboards and data storytelling
- Strong data visualization and dashboard design skills
- Experience working with large datasets from diverse sources
- Strong statistical analysis, regression, SQL, and ETL skills
- Ability to develop and validate hypotheses via A/B testing, forecasting, etc.
- Experience with data governance, compliance, data quality, and controls
- Ability to communicate complex data findings to stakeholders at all levels
Preferred Qualifications, Capabilities, and Skills:
- Degree in a quantitative field (Mathematics, Statistics, Computer Science, Economics)
- Experience with cloud-native platform infrastructure (GCP, AWS)
- Experience in financial services
- Knowledge of predictive analytics and machine learning fundamentals
Why Join Us?
You will be empowered to define and lead our data strategy, working in a collaborative, innovative environment where your insights drive real business impact. This is a unique opportunity to shape the future of data analysis in our platform team and make a difference for our company and clients.
Lead Data Analyst in London employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data skills. Use real-world examples from your past experiences to demonstrate how you've turned data into actionable insights. Remember, confidence is key!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your skill set. Tailor your approach to show why you're the perfect fit for us!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Use this opportunity to reiterate your enthusiasm for the role and remind them of your unique contributions.
We think you need these skills to ace Lead Data Analyst in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data analysis and the specific tools mentioned in the job description. We want to see how your skills align with our mission and the role!
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made through your data analysis work. Use metrics and examples to illustrate how your insights have driven decisions or improved processes. We love seeing results!
Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it's relevant, and make sure your key achievements stand out. We appreciate straightforward communication that gets to the heart of your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at JPMorganChase
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like dbt, BigQuery, and Looker Studio Pro. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've turned complex data into actionable insights. Think about specific business problems you've solved using data analysis and be ready to explain your thought process during the interview.
✨Collaborate and Communicate
Since this role involves working with various teams, practice articulating how you’ve collaborated with product management and engineering in the past. Highlight your ability to communicate complex findings clearly to stakeholders at all levels.
✨Emphasise Your Passion for Data
Demonstrate your enthusiasm for data-driven decision making. Share any personal projects or experiences that showcase your commitment to turning data into value, and how you stay updated with industry trends and best practices.
