At a Glance
- Tasks: Develop and maintain SQL reports, dashboards, and visualisations for investment banking projects.
- Company: Leading investment bank in London with a focus on innovation.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Other info: On-site role in London with opportunities for career advancement.
- Why this job: Join a dynamic team and enhance your data analysis skills in a fast-paced industry.
- Qualifications: Bachelor's degree in IT or related field and 10 years of SQL experience.
The predicted salary is between 43200 - 72000 £ per year.
Overview
Job Title: SQL Data Analyst and Reporting Developer
Location: London
Industry: Investment Banking
Job Summary:
We are seeking a skilled SQL Data Analyst and Reporting Developer to assist with the development and support of reports, dashboards and visualisations for program. There are a number of internal data sources to capture and present move schedules, inventory, user details and hardware asset tracking.
Responsibilities and Duties
- Develop and maintain OLAP Cubes, Excel reports from SQL using Excel Power Query and Power Pivot (inc DAX)
- Develop and maintain Dashboards and Visualisations in PowerBI/Tableau from SQL source
- Collaborate with cross-functional teams to meet project deadlines.
Technology Knowledge
- SQL DB architectures and creating complex SQL queries especially in the Microsoft eco-system (T-SQL)
- Data Warehousing
- OLAP Reporting Services, creating and maintaining OLAP Cubes
- Power BI
- Tableau
Product knowledge
- Microsoft SQL Server and Admin Studio
- Microsoft PowerBI
- Microsoft Excel Power Query and Power Pivot (inc DAX)
- Salesforce Tableau
Qualifications
- Bachelor\\\'s degree in Computer Science, Information Technology, or related field.
- 10 years of developing SQL, Dashboards, Power BI/Tableau
- Proven experience as a SQL Developer or similar role.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
On-Site: London
Please send CVs to me if you meet every requirement
SQL Data Analyst and Reporting Developer in City of London employer: Jefferson Frank
As a leading player in the investment banking sector, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our London office offers exceptional employee growth opportunities through continuous training and development, alongside competitive benefits that support work-life balance. Join us to be part of a team where your contributions are valued and you can make a meaningful impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Analyst and Reporting Developer in City of London
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We think you need these skills to ace SQL Data Analyst and Reporting Developer in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jefferson Frank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jefferson Frank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
