At a Glance
- Tasks: Analyse data from campaigns, create visual reports, and drive data strategy improvements.
- Company: Dynamic company focused on data-driven solutions and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting environment with opportunities to work on diverse projects and advance your career.
- Why this job: Join a team that values innovation and make a real impact with your analytical skills.
- Qualifications: Experience in data analysis, strong communication skills, and proficiency in SQL or Python.
The predicted salary is between 35000 - 45000 £ per year.
The successful candidate will collaborate with our Account Management, Paid Media, Research and Finance teams on our client portfolio, analysing data from advertising campaigns and the market for trends and insights, producing visual reports for our clients and team, and actively experiment with solutions to challenges and improvements in ways of working.
They will participate directly in advancing our data strategy, by taking charge in creating new data products and evolving our data systems, being involved in winning new business, collaborating on market research, and promoting data literacy across business in daily activities and workshops.
Requirements
- Experience in presenting findings concisely and effectively
- Experience in working collaboratively with varied stakeholders
- An analytical and technical mindset, with ability to contextualise data
- Curiosity and initiative, with a drive for continual improvement
- Excellent personal and system organisational skills
- Advanced experience with SQL / DAX / Python / R / Excel
- Advanced experience with BI tools such as PowerBI / Tableau / Looker
- Experience with data modelling and machine learning techniques
Desirable
- Knowledge and experience in the Higher Education sector
- Experience in delivering commercial projects
- Experience working with Social advertising and PPC campaigns data
- Experience with cloud systems such as Azure / Google Cloud / AWS
Duties
- Deliver timely and high quality reporting, both live and historical
- Troubleshoot technical problems with data services
- Maintain high quality communication, in both detailed technical analysis and executive summarisation
- Drive business growth in data functions, by creating new data products and improving internal systems
- Engage in technical problem solving and process improvement
Data Analyst in Brighton employer: Education Cubed Ltd
As a Data Analyst at our company, you will thrive in a dynamic and collaborative work culture that values innovation and continuous improvement. We offer exceptional employee growth opportunities, including workshops to enhance data literacy and the chance to lead exciting projects that directly impact our clients and business strategy. Located in a vibrant area, our team enjoys a supportive environment that encourages curiosity and initiative, making it an excellent place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Brighton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 data analysis projects, visual reports, and any cool solutions you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your analytical mindset. Practice explaining complex data concepts in simple terms, as you'll need to communicate effectively with varied stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your experience aligns with our data strategy and business growth goals.
We think you need these skills to ace Data Analyst in Brighton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Analyst role. Highlight your experience with SQL, Python, and BI tools like PowerBI or Tableau, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analysis and how you can contribute to our team. Share specific examples of how you've collaborated with stakeholders and presented findings effectively.
Showcase Your Analytical Mindset:In your application, demonstrate your analytical and technical mindset. Talk about any projects where you've contextualised data to drive insights or improvements, as this is crucial for the 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Education Cubed Ltd
✨Know Your Data Tools
Make sure you're well-versed in SQL, Python, and any BI tools like PowerBI or Tableau. Brush up on your technical skills and be ready to discuss how you've used these tools in past projects. This will show that you can hit the ground running!
✨Showcase Your Analytical Mindset
Prepare examples of how you've analysed data to uncover trends or insights. Be ready to explain your thought process and how you contextualised the data to make informed decisions. This will demonstrate your analytical prowess and problem-solving abilities.
✨Collaborate Like a Pro
Since the role involves working with various teams, think of instances where you've successfully collaborated with different stakeholders. Highlight your communication skills and how you’ve managed to align diverse perspectives towards a common goal.
✨Emphasise Continuous Improvement
Express your curiosity and initiative by discussing how you've driven improvements in previous roles. Whether it’s through creating new data products or enhancing existing systems, showing your commitment to continual improvement will resonate well with the interviewers.
