At a Glance
- Tasks: Analyse data, deliver reports, and develop data-driven solutions with cross-functional teams.
- Company: Leading banking client in London with a collaborative work environment.
- Benefits: Competitive day rate of £450 and opportunities for professional growth.
- Other info: On-site role in London, fostering teamwork and innovation.
- Why this job: Make an impact by improving data quality and reporting efficiency in a dynamic setting.
- Qualifications: Experience in SQL, data analysis, and business intelligence required.
Salary: £? - ? per year
Requirements:
- Formal training or certification in data engineering concepts and applied experience
- Recent hands-on professional experience in a reporting, data analysis, or business intelligence role
- Experience in database querying techniques and SQL
- Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores, including relational data stores
- Experience in designing and implementing effective tests, including unit, component, integration, end-to-end, and performance tests
Responsibilities:
- Partner with cross-functional teams to gather requirements, analyse data, deliver accurate reports, and develop data-driven solutions that meet those needs
- Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimise redundancy
- Maintain data accuracy, integrity, and consistency across all data layers
- Drive process improvements and automation initiatives to boost reporting efficiency and data quality
- Collaborate with data engineers to streamline and enhance data reporting workflows through automation
Technologies:
- Business Intelligence
- SQL
We are seeking a strong Data Analyst to join our banking client in London. This is an inside London role, requiring five days a week on-site, with a day rate of £450. We are looking for someone who can work closely with cross-functional teams to improve reporting, data quality, and automation within a collaborative data environment.
Data Analyst SQL in London employer: Telstra Associates
TELSTRA Associates is an excellent employer, offering a vibrant work culture that fosters innovation and collaboration. With a strong focus on employee growth, team members are encouraged to develop their skills through hands-on experience in cutting-edge cloud technologies while working on impactful projects for leading financial clients. The onsite role in Glasgow provides a unique opportunity to be part of a dynamic team dedicated to transforming enterprise cloud platforms, all within a supportive and engaging environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst SQL in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Telstra Associates.
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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 Telstra Associates. 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 Telstra Associates
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Telstra Associates!
✨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.
