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- Tasks: Analyse complex datasets and create BI dashboards to deliver insights.
- Company: Join a dynamic team in Leeds, focused on data-driven decision-making.
- Benefits: Enjoy hybrid work options and competitive daily rates.
- Why this job: Be part of a skilled team making impactful data solutions.
- Qualifications: Proficient in SQL, BI tools, and Python; strong analytical skills required.
- Other info: Initial 6-month contract with potential for extension.
Leeds – Hybrid
£400 – £420 Outside IR35 per day
6 months
My client is seeking a SQL Data Analyst to join their skilled team on an initial 6 month contract. They are looking for passionate analysts with a strong background in SQL, Business Intelligence (BI), and Python.
Key Responsibilities:- Analyse and interpret complex datasets to deliver actionable insights.
- Develop and maintain SQL queries and stored procedures to support business needs.
- Create and optimise BI dashboards and reports to visualise data effectively.
- Leverage Python for data manipulation, automation, and advanced analytics.
- Collaborate with stakeholders to understand business requirements and deliver data solutions.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Experience with BI tools such as Tableau, Power BI, or similar.
- Knowledge of Python for data analysis and scripting.
- Strong analytical and problem-solving skills.
- Excellent communication skills to present findings to technical and non-technical audiences.
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SQL Data Analyst
✨Tip Number 1
Familiarise yourself with the specific BI tools mentioned in the job description, like Tableau or Power BI. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Brush up on your SQL skills by working on real-world projects or datasets. Consider creating a portfolio that showcases your ability to write complex queries and develop stored procedures, as this will give you a competitive edge during discussions.
✨Tip Number 3
Practice explaining your analytical findings to both technical and non-technical audiences. Being able to communicate insights clearly is crucial, so try presenting your work to friends or family who may not have a technical background.
✨Tip Number 4
Network with professionals in the data analysis field, especially those who work with SQL and BI tools. Engaging in relevant online communities or attending local meetups can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace SQL Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL proficiency, experience with BI tools like Tableau or Power BI, and any relevant Python skills. Use specific examples from your past work to demonstrate your analytical abilities.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how your skills align with the job requirements. Mention your experience in developing SQL queries and creating BI dashboards, and explain how you can contribute to the team.
Showcase Relevant Projects: If you have worked on projects involving data analysis, SQL, or BI tools, include these in your application. Briefly describe the project, your role, and the impact of your work to illustrate your capabilities.
Prepare for Technical Questions: Anticipate technical questions related to SQL, BI tools, and Python during the interview process. Brush up on common SQL queries and data manipulation techniques to confidently discuss your expertise.
How to prepare for a job interview at Trust In SODA
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Bring examples of complex queries you've written and be ready to explain how they solved specific business problems.
✨Demonstrate BI Tool Proficiency
Familiarise yourself with the BI tools mentioned in the job description, such as Tableau or Power BI. If possible, prepare a small demo or case study showcasing how you used these tools to create impactful dashboards.
✨Highlight Python Experience
Since Python is a key requirement, be ready to discuss how you've used it for data manipulation and automation. Share specific projects where Python helped streamline processes or provided deeper insights.
✨Communicate Clearly
Practice explaining your analytical findings in simple terms. The ability to present complex data insights to both technical and non-technical audiences is crucial, so focus on clarity and engagement during your interview.
