At a Glance
- Tasks: Analyse data and solve complex problems using Looker Enterprise and GCP tools.
- Company: Join a global tech group known for tackling high-stakes challenges.
- Benefits: Competitive salary, health package, flexible hours, and 28 days annual leave.
- Other info: Embrace diversity and enjoy clear career development opportunities.
- Why this job: Make a real impact by solving problems that matter in a dynamic environment.
- Qualifications: Experience with Looker Enterprise and strong data processing skills required.
The predicted salary is between 28800 - 48000 £ per year.
Work where work matters. We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet. You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.
Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you'll be proud to tell your friends about.
We are looking for a Data Analyst with Looker Enterprise to analyse and define requirements, and then manage the end-to-end execution process. We look for people who embody:
- Innovation to solve the hardest problems.
- Accountability for every result.
- Integrity always.
About The Role: This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend regular quality time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.
Gain a deep understanding of the Looker BI Suite and Big Query, as well as surrounding GCP concepts such as IAM roles, Logging and Monitoring. Understand customer business requirements and advise the best way to fulfil these with the data and tools available. Investigate data necessary to achieve desired business outcomes. Concisely and thoroughly document processes relating to customer data requirements. Provide training and pair-programming sessions for clients to upskill them in using Looker and associated GCP services. Develop internal tooling, and improve processes, for the wider data analytics team and CTS business. You will love to find ways to do things better.
As part of your continuing professional development, gain relevant certifications and skills badges as required by the role. We're proud of our B Corp status. We ask that you are proactive in our drive towards social progress and positive impacts. Whether that's getting involved in one of our community projects or simply buying local when travelling with the company.
What Success Looks Like:
Essential Experience:- Significant professional experience working in a Data Analytics role.
- Professional experience working with Looker Enterprise.
- Strong data processing experience and understanding of developing against common database technologies (such as MS SQL, PostgreSQL, MySQL, etc).
- Comprehensive problem-solving skills and proven ability to apply creative and innovative thinking, identify and support the resolution of data quality and integrity issues.
- Understanding of developing visualisations and reports using BI solutions (such as Looker, Google Data Studio, Tableau, PowerBI, etc).
- Confident in presenting findings in an effective, structured and actionable way to a wide set of audiences with varying levels of understanding.
- Excellent planning, prioritisation, organisational and time management skills, being able to work both as part of a team and independently.
- Ability to meet regular and ad hoc deadlines, working under project plans and deadlines.
- Exposure to data modelling / data science methodologies is a bonus.
- Prior experience working in a customer-facing role.
- Experience working in an Agile team, understanding of project management methods, disciplines and project lifecycles.
Our Benefits: We believe in supporting our team members both professionally and personally. Here's how we invest in you:
- Compensation and Financial Well-being: Competitive base salary, discretionary company bonus scheme, employee referral scheme, meal vouchers.
- Health and Wellness: Health Care Package, Life and Health Insurance.
- Work-Life Balance and Growth: Bookster, 28 days of annual leave, floating bank holidays, an extra paid day off on your birthday, ten paid learning days per year, flexible working hours, sabbatical leave (after 5 years), work from anywhere (up to 3 weeks per year), industry-recognised training and certifications, Bonusly: employee recognition and rewards platform, clear opportunities for career development, length of service awards, regular company events.
Diversity and Inclusion: At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.
Data Analyst in London employer: Qodea
At Qodea, we pride ourselves on being an exceptional employer that fosters innovation and accountability in a collaborative environment. Our commitment to employee growth is evident through our extensive benefits, including competitive salaries, flexible working arrangements, and opportunities for professional development, all while contributing to meaningful projects that make a real impact. Join us in a culture that values diversity and inclusion, where your contributions are recognised and celebrated, making every day at work fulfilling and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at a company you admire. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Looker and other BI tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you would approach real-world problems and be ready to discuss your thought process. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our brand. Let’s make it happen!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data analytics shine through! Share specific examples of how you've tackled complex data challenges in the past and what you love about working with tools like Looker.
Tailor Your Application:Make sure to customise your application to highlight the skills and experiences that align with the job description. We want to see how your background fits into our mission of solving tough problems and delivering impactful results.
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and structure your thoughts logically. This will help us understand your thought process and how you approach problem-solving.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team!
How to prepare for a job interview at Qodea
✨Know Your Tools Inside Out
Make sure you have a solid understanding of Looker Enterprise and Big Query. Brush up on your knowledge of IAM roles, Logging, and Monitoring in GCP. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Understand the Business Needs
Before the interview, research the company and its clients. Be prepared to discuss how you would approach understanding customer business requirements and how you can leverage data to meet those needs. This shows that you’re not just a techie but also a strategic thinker.
✨Showcase Your Problem-Solving Skills
Prepare examples of past challenges you've faced in data analytics and how you creatively solved them. Highlight your ability to identify data quality issues and how you’ve resolved them. This is crucial for a role that demands innovative thinking.
✨Practice Your Presentation Skills
Since you'll need to present findings to various audiences, practice explaining complex data insights in a clear and structured way. Use mock presentations to friends or family to refine your delivery and ensure you can engage listeners with varying levels of understanding.
