At a Glance
- Tasks: Analyse data and solve complex problems for global leaders like Google and PayPal.
- Company: Join a pioneering tech group focused on impactful, high-stakes work.
- Benefits: Competitive salary, private medical insurance, 36 days leave, and flexible working hours.
- Other info: Embrace diversity and enjoy clear career development opportunities.
- Why this job: Make a real difference by tackling challenges that shape your career.
- Qualifications: Experience with Looker Enterprise and strong data processing skills required.
The predicted salary is between 40000 - 50000 £ 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.
Concise and thorough documentation of 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.
Desirable Experience:
- 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 Wellbeing: Competitive base salary, matching pension scheme (up to 5%) from day one, discretionary company bonus scheme, 4 x annual salary Death in Service coverage from day one, employee referral scheme, Tech Scheme.
- Health and Wellness: Private medical insurance from day one, optical and dental cash back scheme, access to remote GPs, second opinions, mental health support, and physiotherapy, EAP service, Cycle to Work scheme.
- Work-Life Balance and Growth: 36 days annual leave (inclusive of bank holidays), an extra paid day off for your birthday, ten paid learning days per year, flexible working hours, market-leading parental leave, sabbatical leave (after five 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 employer: Beyond
At Qodea, we pride ourselves on being an exceptional employer that fosters a culture of innovation and accountability. Our commitment to employee growth is evident through our extensive benefits package, including 36 days of annual leave, flexible working hours, and opportunities for professional development with industry-recognised training. Located in a vibrant environment, we encourage collaboration and creativity, making every project not just a job, but a meaningful career-defining experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 who might have the inside scoop on job openings!
✨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. Remember, they want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people. So, what are you waiting for? Get applying!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Your Data Skills:When you're writing your application, make sure to highlight your experience with Looker Enterprise and any other data tools you've used. We want to see how you've tackled data challenges in the past, so don’t hold back on those examples!
Be Clear and Concise:We love a good story, but when it comes to your application, clarity is key. Keep your points straightforward and relevant to the role. This will help us quickly see how you fit into our team and the impact you can make.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences that match the job description. Show us why you’re the perfect fit for this Data Analyst role.
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 the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Beyond
✨Know Your Tools Inside Out
Make sure you have a solid understanding of Looker Enterprise and Big Query. Familiarise yourself with their features and functionalities, as well as how they can be applied to solve real-world problems. This will not only help you answer technical questions but also demonstrate your genuine interest in the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of past experiences where you've tackled complex data issues or improved processes. Be ready to discuss your thought process and the innovative solutions you implemented. This aligns perfectly with the company's focus on accountability and creativity in problem-solving.
✨Understand the Business Context
Research the company and its clients, like Google and PayPal, to understand their business models and challenges. This knowledge will allow you to tailor your responses and show how your skills can directly contribute to their success, especially in terms of meeting customer requirements.
✨Practice Your Presentation Skills
Since you'll need to present findings to various audiences, practice explaining complex data insights in a clear and structured manner. Use mock interviews to refine your delivery and ensure you're comfortable discussing your work with both technical and non-technical stakeholders.
