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- Tasks: Analyse complex datasets and create impactful data solutions.
- Company: A forward-thinking consultancy focused on engineering excellence and empowering people.
- Benefits: Flexible remote work, wellness programs, and support for personal projects.
- Why this job: Make a real difference with data while enjoying a supportive and fun work environment.
- Qualifications: Experience in data analysis, stakeholder management, and familiarity with tools like Python and Tableau.
- Other info: Join a stable, trusted team and thrive in a positive work culture.
The predicted salary is between 36000 - 60000 £ per year.
We are a new generation consultancy based across the UK and EU, founded on the premises of engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects.
About you: Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you.
Your key skills and capabilities:
- Gathering and documenting business and project requirements
- Managing stakeholders of differing levels
- Analysing and profiling large and complex datasets
- Managing a team backlog using tools like Jira or Azure DevOps
- Agile ways of working
- Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems
- Creating conceptual, logical and physical data models
- Creating mapping specifications for data migrations
- Coordinating User Acceptance Testing (UAT) with business stakeholders
- Knowledge of Python (pandas)
- Experience with Cloud platforms
- Creating data dashboards using Tableau, PowerBI or Qlik and storytelling
We expect you to work closely with the business to understand their current data problems, pain points, and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team.
Our promise to you: We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals, and the ability to work on personal projects.
We believe that a gelled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams – your team will be stable across different projects and you will work with people you trust and like.
We are committed to prioritising the wellbeing of our employees. To fulfil this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture.
We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burn-out. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.
Senior Data Analyst in London employer: The Dot Collective
Contact Detail:
The Dot Collective Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool stuff you've built with Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you would tackle real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! Share specific examples of how you've used data to make a difference in previous roles. We love seeing candidates who are genuinely excited about the transformational power of data.
Tailor Your Application: Make sure to customise your application to reflect the key skills and capabilities mentioned in the job description. Highlight your experience with tools like Jira or Azure DevOps, and don’t forget to mention your familiarity with OLTP and OLAP systems. We want to see how you fit into our world!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we’re looking for someone who can communicate effectively, so show us your best writing skills!
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 that it gets into the right hands. Plus, it shows us that you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at The Dot Collective
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you gathered and documented business requirements, managed stakeholders, and analysed complex datasets. This will show your passion for data and its transformational powers.
✨Familiarise Yourself with Agile Practices
Since the company runs agile scrum on all projects, brush up on agile methodologies. Be prepared to talk about how you've managed a team backlog using tools like Jira or Azure DevOps. Sharing examples of how you've adapted to agile ways of working will demonstrate your fit for their culture.
✨Showcase Your Technical Skills
Make sure to highlight your experience with OLTP and OLAP systems, as well as your proficiency in Python (especially pandas). If you've created data dashboards using Tableau, PowerBI, or Qlik, be ready to discuss these projects in detail. This will help you stand out as a strong candidate.
✨Communicate Effectively
As a Senior Data Analyst, you'll need to coordinate User Acceptance Testing (UAT) and communicate with both technical teams and business stakeholders. Practice articulating your thoughts clearly and concisely, and prepare to discuss how you've successfully navigated communication challenges in the past.
