At a Glance
- Tasks: Analyse data improvement requests and assess their impact across the business.
- Company: E-Resourcing Ltd, a specialist in I.T. recruitment with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Work in a collaborative environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make a real difference in data quality and business intelligence.
- Qualifications: Strong SQL and Power BI skills; familiarity with Microsoft Fabric and PySpark is a plus.
The predicted salary is between 31500 - 38500 £ per year.
E-Resourcing Ltd - Specialist I. T. Recruitment is seeking a Senior Data Analyst to join on a hybrid basis in either London or Bristol.
You will work with the Data Architect to analyse data-related improvement requests across the business and identify their potential impact.
The role requires strong SQL, Power BI, and data quality experience, with familiarity in Microsoft Fabric and Py Spark being advantageous.
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Senior Data Analyst - Data Quality & BI (Hybrid UK) employer: E-Resourcing Ltd - Specialist I.T. Recruitment
E-Resourcing Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a focus on employee growth, we provide extensive training opportunities and support for career advancement, ensuring our team members thrive in their roles. Our competitive salary packages, bonuses, and benefits, combined with the chance to work on impactful ERP transformation projects, make us a rewarding choice for professionals seeking meaningful employment.
Contact Details:
E-Resourcing Ltd - Specialist I.T. Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Data Quality & BI (Hybrid UK)
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We think you need these skills to ace Senior Data Analyst - Data Quality & BI (Hybrid UK)
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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