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- Tasks: Maximise FX data value and provide key insights using analytical tools.
- Company: Join a leading financial services firm focused on data-driven decisions.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Mentorship opportunities and dynamic team culture await you.
- Why this job: Shape the future of data analytics and make a real impact in finance.
- Qualifications: Expert SQL skills and strong analytical abilities required.
The predicted salary is between 50000 - 65000 £ per year.
The candidate will work in the Enterprise Data Management team, with the goal of maximising the value of FX data at CLS's disposal to support corporate objectives. This will be achieved by gaining a sound understanding of the operational source data, deciding how best to store it in the Enterprise Data Warehouse and subsequently using analytical tools to provide key insights.
Essential Function / Major Duties and Responsibilities:
- Strategic: Help shape Data Analytics strategic vision to enable the right information to be available to the right people at the right time (tooling, architecture etc.).
- Contribute to the development and enhancement of the data quality framework and its associated processes and reporting.
- Identify opportunities to monetise data.
- Operational: Work to develop reports and analyses using SQL, BI & statistical tools against the CLS data warehouse and the data quality framework.
- Keep the warehouse up to date and exceeding data quality targets.
- Monitor, investigate and resolve issues with the ETL and reporting processes.
- Oversee the execution of scheduled analyses, reporting and model processes and automate repeat tasks using available SQL & BI tools.
- Log work requests, provide estimations of effort and track progress.
- Create and maintain process documentation.
- Leadership: Mentor L3/4 team members.
Qualifications / Certifications:
- IT, Mathematical, Economics or similar analytical subjects - A Level or equivalent (Essential).
- Degree (desirable).
Knowledge, Skills and Abilities / Competencies Required for Successful Job Performance:
- Expert level knowledge of SQL (SQL-92 or variants e.g. T-SQL, PL/SQL).
- Advanced Excel, proficient MS Office.
- Strong analytical skills.
- Strong communication skills (written and verbal).
- Aptitude for handling several tasks simultaneously.
- Self-starter with great teamwork and problem-solving skills.
- Business intelligence skills e.g. MicroStrategy (report creation, schema design, V10.11).
- Statistical, quantitative modelling tools e.g. R/Shiny.
Success Factors:
- Benefits focused problem solver: Uses their skills to overcome obstacles in an effective manner whilst ensuring that their chosen solutions are balancing short term requirements with long term benefits to the business to optimise results.
- Communication: Able to communicate clearly and confidently to multiple levels of the business. Is able to identify the interests and motivations of key stakeholders and practice positive influencing to bring people along with them.
- Team Player: Comfortable working within a team environment and supporting the deliverables of the department as a whole by providing support and expertise to others as and when required.
- Self-Starter: Is able to take responsibility for a piece of work and complete it successfully with a minimum of oversight and also identify and suggest opportunities for new tasks arising from their own work.
Senior Information Analyst in London employer: Sept 2017 Branding
Contact Detail:
Sept 2017 Branding Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Information Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 researching the company and its data strategies. Be ready to discuss how your skills in SQL and BI tools can help them achieve their goals. Show them you’re not just another candidate, but the right fit!
✨Tip Number 3
Practice your problem-solving skills! Think of examples where you've tackled data challenges or improved processes. This will help you shine during interviews and demonstrate your analytical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Information Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Information Analyst role. Highlight your SQL expertise, analytical skills, and any relevant experience with BI tools. We want to see how your background aligns with our needs!
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 team. Keep it concise but impactful – we love a good story!
Showcase Your Skills: In your application, don’t just list your skills – demonstrate them! If you've worked on projects involving data quality frameworks or ETL processes, share those experiences. We’re keen to see your problem-solving abilities in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Sept 2017 Branding
✨Know Your SQL Inside Out
As a Senior Information Analyst, you'll need to demonstrate expert-level knowledge of SQL. Brush up on your SQL-92 or its variants like T-SQL and PL/SQL. Be prepared to discuss specific projects where you've used these skills to solve problems or improve processes.
✨Showcase Your Analytical Skills
This role requires strong analytical skills, so come ready with examples of how you've used data to drive decisions. Think about times when your insights led to significant improvements or changes in your previous roles. Use concrete numbers to illustrate your impact!
✨Communicate Clearly and Confidently
Strong communication skills are essential for this position. Practice explaining complex data concepts in simple terms. You might be asked to present your findings, so consider how you would convey your insights to different stakeholders effectively.
✨Demonstrate Team Spirit
Being a team player is crucial. Prepare to discuss how you've collaborated with others in past roles. Highlight instances where you've supported colleagues or contributed to team goals, showing that you're not just focused on individual success but also on the team's achievements.