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- Tasks: As a Data Analyst, you'll create dashboards and analyze data trends using GCP tools.
- Company: Join a Tech4Good energy company focused on achieving net zero through innovative technology.
- Benefits: Enjoy flexible working hours, 25 days holiday, a solid pension, and a supportive culture.
- Why this job: This role offers career growth in a collaborative environment with a meaningful social impact.
- Qualifications: Experience with GCP stack, SQL, Python, and data visualization is essential.
- Other info: Sponsorship is not available for this position.
The predicted salary is between 40000 - 84000 £ per year.
BI Data Analyst (Tech4Good) | London/Hybrid | £50,000 – £60,000
GCP | BigQuery | Looker | LookerML | Google Cloud Platform | Data Analyst | Business Intelligence | SQL | Python | Visulisation | Looker |
Are you a Data Analyst who likes to work with the GCP stack? I’m supporting a brilliant Tech4good energy company that harness technology to help them on their mission to become net zero.
They are looking for a Data Analyst with experience working with the GCP stack to gather and document requirements for dashboards and reports, converting them into technical solutions, and analysing data for trends.
SQL
Python
Flexible working hours
~25 days holiday +bank
~ Solid pension
~ This is a fantastic opportunity for someone looking to progress with their career. This company are huge on developing their people and have built a great culture around collaboration.
Sponsorship isn’t available.
GCP | BigQuery | Looker | LookerML | Google Cloud Platform | Data Analyst | Business Intelligence | SQL | Python | Visulisation |
Data Analyst - Hybrid/Flexible employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Hybrid/Flexible
✨Tip Number 1
Familiarize yourself with the GCP stack, especially BigQuery and Looker. Having hands-on experience or projects showcasing your skills in these tools will make you stand out during the interview process.
✨Tip Number 2
Prepare to discuss specific examples of how you've gathered requirements for dashboards and reports in previous roles. Being able to articulate your process and the impact of your work will demonstrate your value to the team.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are crucial for the role. Consider working on a small project that involves data analysis using these languages to showcase your proficiency.
✨Tip Number 4
Research the company’s mission and values, particularly their focus on becoming net zero. Showing genuine interest in their goals and how your skills can contribute to their mission will resonate well during your discussions.
We think you need these skills to ace Data Analyst - Hybrid/Flexible
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and required skills, especially focusing on GCP, BigQuery, Looker, SQL, and Python.
Tailor Your CV: Customize your CV to highlight relevant experience with data analysis, business intelligence tools, and any projects involving the GCP stack. Use specific examples that demonstrate your skills in SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data analysis and your interest in working for a Tech4Good company. Mention how your skills align with their mission to become net zero and your enthusiasm for collaboration.
Showcase Your Technical Skills: In your application, emphasize your technical skills related to data visualization and analysis. If you have experience with Looker or LookerML, be sure to include specific examples of how you've used these tools in past projects.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your GCP Expertise
Make sure to highlight your experience with Google Cloud Platform, especially BigQuery and Looker. Be prepared to discuss specific projects where you've utilized these tools to solve data-related challenges.
✨Demonstrate Your Analytical Skills
Prepare examples of how you've analyzed data to identify trends and insights. Use concrete metrics or outcomes to illustrate your impact in previous roles, particularly in a business intelligence context.
✨Discuss Your Technical Solutions
Be ready to explain how you gather requirements for dashboards and reports. Discuss your approach to converting these requirements into technical solutions, emphasizing your problem-solving skills and attention to detail.
✨Emphasize Collaboration and Culture Fit
Since the company values collaboration, share experiences where you've worked effectively in teams. Highlight your adaptability and willingness to contribute to a positive work culture, aligning with their mission to become net zero.
