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- Tasks: Lead data transformation projects and optimise enterprise data systems for a major banking business.
- Company: Dynamic financial institution with a focus on innovation and data excellence.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Shape the future of financial data and make impactful decisions in a collaborative environment.
- Qualifications: Strong data analysis skills, advanced SQL, and experience with financial datasets required.
- Other info: Join a team that values proactive communication and offers excellent career advancement.
The predicted salary is between 60000 - 80000 £ per year.
An opportunity for a data focused leader to shape and deliver a large scale financial data transformation programme supporting strategic decision making across a banking business. The role centres on building robust data pipelines, owning the data warehouse architecture, and ensuring high quality data to power reporting, analytics and insights. Must have a strong understanding of Front Office Trading and Front Office Data.
Responsibilities:
- Lead the design, build and optimisation of the enterprise data warehouse, including sourcing, validation, ingestion and data architecture.
- Develop and manage automated ETL pipelines and workflows for financial datasets.
- Integrate data warehouse outputs with Salesforce, PowerBI, pricing platforms and other analytical endpoints.
- Ensure accuracy, consistency and scalability of historic and current datasets and align them to evolving data models.
- Create detailed business requirements documentation that supports technology delivery teams.
- Support the build of new data models that power internal management information and AI aligned analytics.
- Collaborate with internal teams and external providers to improve data quality and streamline data delivery processes.
- Drive enhancements in data governance and act as subject matter expert for all data related topics.
- Maintain data quality and client hierarchy within Salesforce in partnership with client onboarding teams.
Requirements:
- Strong experience in data analysis and enterprise level data systems.
- Advanced SQL expertise with the ability to build complex queries and tables.
- Hands on experience managing ETL processes and working to tight project timelines.
- Must have strong knowledge of financial data, accounting principles and CIB business information frameworks.
- Experience working with large and complex datasets in a financial context.
- Proficient in Python and experienced with at least one major cloud data warehouse platform such as Snowflake.
- Experience working within a large financial institution and educated to degree level in a STEM field.
- Experience using Salesforce or similar CRM platforms.
- Excellent communication skills, proactive mindset and the ability to work independently and collaboratively.
Apply now for immediate consideration. No sponsorship available; applicants must have the right to work in the region.
Front Office Data Analyst in Slough employer: Nicoll Curtin
Contact Detail:
Nicoll Curtin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and data sectors. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to financial data analysis. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, ETL processes, and data warehousing. Practise common interview questions and consider doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team!
We think you need these skills to ace Front Office Data Analyst in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Front Office Data Analyst. Highlight your experience with data analysis, SQL, and any relevant financial data projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our financial data transformation programme. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with ETL processes, Python, and cloud data warehouse platforms like Snowflake. We’re keen on seeing how you’ve used these tools in real-world scenarios, so be specific!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Nicoll Curtin
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of financial data and Front Office Trading. Be prepared to discuss how you've previously managed large datasets and the specific tools you've used, like SQL and Python. This will show that you’re not just familiar with the concepts but can also apply them practically.
✨Showcase Your ETL Expertise
Since the role involves developing and managing automated ETL pipelines, be ready to share examples of your past experiences with ETL processes. Discuss any challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly and Confidently
Excellent communication skills are a must for this position. Practice explaining complex data concepts in simple terms, as you may need to collaborate with non-technical teams. Being able to articulate your thoughts clearly will set you apart from other candidates.
✨Prepare Questions About Data Governance
As a subject matter expert in data governance, it’s crucial to show your interest in this area during the interview. Prepare insightful questions about their current data governance practices and how you can contribute to enhancing them. This shows your proactive mindset and genuine interest in the role.