At a Glance
- Tasks: Analyse data using PowerBI and Excel to deliver actionable insights.
- Company: Join a dynamic team at Computerworld Personnel Ltd. in Bristol.
- Benefits: 6-month contract with potential extension and competitive pay.
- Other info: Onsite role with opportunities for career growth.
- Why this job: Make an impact by transforming data into strategic decisions.
- Qualifications: Experience with Advanced Excel and PowerBI; SQL knowledge is a plus.
The predicted salary is between 45000 - 55000 Β£ per year.
Computerworld Personnel Ltd. in Bristol is seeking a hands-on Business Analyst with data skills to join the team onsite.
The contract is Inside IR35, 6 months with a possibility of extension; staff on permanent salary will also be considered.
You will work with Advanced Excel, Power BI and SQL (desirable) to gather requirements, automate data extraction, and deliver data-driven insights.
The role requires being in commutable distance of the Bristol office.
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Data-Driven Business Analyst β PowerBI & Excel employer: Computerworld Personnel Ltd
Join a dynamic team in Cullompton, Devon, where your expertise as a Fabrication Supervisor will be valued and nurtured. With competitive salaries, 33 days of holiday, and a strong focus on employee progression, we foster a supportive work culture that prioritises professional growth and work-life balance. Enjoy additional benefits such as a pension scheme, sick pay, and free parking, all while leading a dedicated manufacturing team in a fast-paced engineering environment.
Contact Details:
Computerworld Personnel Ltd Recruitment Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Data-Driven Business Analyst β PowerBI & Excel
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We think you need these skills to ace Data-Driven Business Analyst β PowerBI & Excel
Some tips for your application π«‘
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. Donβt forget to include links to any GitHub repositories if applicable!
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β¨Brush Up on Your Statistics
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