At a Glance
- Tasks: Lead data governance and optimise ETL pipelines for front office banking.
- Company: A leading international bank with a supportive culture.
- Benefits: Competitive salary, career growth, and cross-functional exposure.
- Why this job: Make a real impact on front-office performance in a dynamic environment.
- Qualifications: Strong SQL, Python skills, and experience in a CIB environment.
- Other info: Embrace analytics and automation in your work.
The predicted salary is between 57600 - 84000 Β£ per year.
A leading international bank is seeking a VP-level Data Management & Analytics specialist in London. The role includes owning the data governance framework for Front Office banking data, building and optimizing ETL pipelines, and shaping data warehouse architecture.
Candidates should have strong SQL, Python, and experience in a CIB environment. This senior role offers cross-functional exposure and a chance to impact front-office performance in a supportive culture embracing analytics and automation.
VP, Front Office Data Strategy & Analytics in London employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land VP, Front Office Data Strategy & Analytics in London
β¨Tip Number 1
Network like a pro! Reach out to folks in the banking and data analytics space on LinkedIn. A friendly chat can open doors that a CV just can't.
β¨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your SQL and Python projects. This is your chance to demonstrate how you can optimise ETL pipelines and enhance data governance.
β¨Tip Number 3
Ace the interview by understanding the bank's culture and values. Be ready to discuss how your experience aligns with their focus on analytics and automation. We want to see your passion for data!
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace VP, Front Office Data Strategy & Analytics in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data governance, ETL pipelines, and any relevant SQL or Python skills. We want to see how you can fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data strategy and analytics in a banking context. Share specific examples of how you've made an impact in previous roles.
Showcase Your Technical Skills: Since this role requires strong SQL and Python skills, donβt shy away from mentioning specific projects where youβve used these tools. We love seeing real-world applications of your expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures youβre considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Harvey Nash
β¨Know Your Data Inside Out
Make sure youβre well-versed in data governance frameworks and ETL processes. Brush up on your SQL and Python skills, as youβll likely be asked to demonstrate your technical knowledge during the interview.
β¨Showcase Your CIB Experience
Highlight any relevant experience you have in a Corporate and Investment Banking (CIB) environment. Be prepared to discuss specific projects where youβve made an impact, especially those that involved analytics and automation.
β¨Prepare for Cross-Functional Questions
Since this role offers cross-functional exposure, think about how youβve collaborated with different teams in the past. Prepare examples that showcase your ability to work across departments and drive results.
β¨Embrace the Culture of Analytics
Research the bankβs approach to analytics and automation. Be ready to discuss how you can contribute to their supportive culture and enhance front-office performance through innovative data strategies.