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- Tasks: Transform raw data into actionable insights using SQL and Power BI.
- Company: Dynamic recruitment consultancy in the UK with a focus on innovation.
- Benefits: Hybrid working model, potential for permanent employment, and professional growth.
- Why this job: Make a real impact by developing dashboards that drive decision-making.
- Qualifications: Degree in a relevant field and experience in data management and analytics.
- Other info: Exciting opportunity to engage with stakeholders and enhance your skills.
The predicted salary is between 28800 - 48000 £ per year.
A recruitment consultancy in the UK seeks a Data Analyst to transform raw operational and commercial data into actionable insights. The role involves leveraging SQL and Power BI to develop reporting systems and dashboards that facilitate decision-making.
Candidates should possess a degree in a relevant field and experience in data management, analytics, and stakeholder engagement. This is a temporary position with a hybrid working model, offering a long-term opportunity for permanent employment.
Data Analyst - Snowflake & Power BI Dashboards employer: KineticPlc
Contact Detail:
KineticPlc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Snowflake & Power BI Dashboards
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best SQL queries and Power BI dashboards. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Brush up on your technical skills and be ready to discuss how you've transformed data into actionable insights in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities and get your foot in the door. Plus, we’re here to support you every step of the way!
We think you need these skills to ace Data Analyst - Snowflake & Power BI Dashboards
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Power BI in your application. We want to see how you've used these tools to turn data into insights, so don’t hold back!
Tailor Your CV: Customise your CV to match the job description. Use keywords from the listing to show us you’re a perfect fit for the Data Analyst role. It helps us see how your background aligns with what we need.
Engage Stakeholders: If you’ve worked with stakeholders before, share those experiences! We love to see how you’ve communicated insights and influenced decision-making through your data analysis.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at KineticPlc
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss how you've used SQL in past projects, and maybe even solve a few queries on the spot. This will show that you can handle the technical demands of the role.
✨Showcase Your Power BI Expertise
Bring examples of dashboards or reports you've created using Power BI. If possible, prepare a short presentation to demonstrate your ability to turn data into actionable insights. This hands-on approach will impress the interviewers and highlight your practical experience.
✨Understand the Business Context
Research the company and its industry to understand the types of data they might be working with. Being able to discuss how your analytical skills can directly impact their decision-making will set you apart from other candidates.
✨Engage with Stakeholders
Prepare to talk about your experience in stakeholder engagement. Think of specific examples where you've communicated complex data insights to non-technical audiences. This will demonstrate your ability to bridge the gap between data and decision-making.