At a Glance
- Tasks: Analyse data to solve complex problems and deliver impactful solutions.
- Company: Join a global tech group known for high-stakes, innovative work.
- Benefits: Competitive salary, private medical insurance, and 36 days annual leave.
- Other info: Flexible working hours and opportunities for professional growth.
- Why this job: Make a real difference by tackling challenges that matter in tech.
- Qualifications: Experience with Looker 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.
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.
- Help@Hand app: 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 in Manchester employer: Qodea
At Qodea, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to professional growth is evident through our extensive benefits, including competitive salaries, generous leave policies, and industry-recognised training opportunities. Located in a vibrant environment, we encourage our team members to engage in meaningful work that not only challenges them but also contributes positively to society, making every day at Qodea a rewarding experience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨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. Use platforms like GitHub or personal websites to display your work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data-related questions. Think about how you would explain complex concepts simply. Remember, it’s not just about what you know, but how you communicate it that counts!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your skills align with our mission and values. Let’s make an impact together!
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Analyst role. Highlight your experience with Looker and data processing, as well as any relevant projects that showcase your problem-solving skills. We want to see how you can make an impact!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've used BI tools like Looker or Tableau to solve real-world problems. This will help us understand your thought process and how you tackle challenges.
Be Clear and Concise:When documenting your experiences, keep it clear and to the point. We appreciate a structured approach, so make sure your application is easy to read and highlights your key achievements without unnecessary fluff.
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 shows you’re proactive, which we love!
How to prepare for a job interview at Qodea
✨Know Your Tools Inside Out
Make sure you have a solid understanding of the Looker BI Suite and Big Query. Familiarise yourself with their features and how they can be applied to solve real-world problems. This will not only help you answer technical questions but also demonstrate your proactive approach to learning.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data issues in the past. Be ready to discuss your thought process and the innovative solutions you implemented. This is crucial, as the company values creative thinking and the ability to resolve data quality and integrity issues.
✨Communicate Clearly and Effectively
Practice presenting your findings in a structured manner. You might be asked to explain complex data concepts to non-technical stakeholders, so being able to convey your ideas clearly is key. Use visuals if possible to make your points more relatable.
✨Emphasise Your Collaborative Spirit
Since the role involves working closely with clients and team members, highlight your experience in collaborative environments. Share instances where you’ve successfully worked in teams or conducted training sessions, showcasing your ability to connect and engage with others.
