At a Glance
- Tasks: Analyse real-world data to forecast trends and present insights to stakeholders.
- Company: Join a dynamic team focused on innovative data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact by shaping forecasting projects and collaborating with clients.
- Qualifications: Experience in analysis, strong statistical skills, and proficiency in SQL and Excel.
- Other info: Remote work with regular London meet-ups for team collaboration.
The predicted salary is between 33000 - 77000 ÂŁ per year.
Mid-level analytical role with a strong statistical focus. Work on meaningful forecasting projects using realâworld data. Blend hands-on analysis with stakeholder engagement and transition into working with a modernised data stack. Flexible working with regular collaboration and twiceâmonthly London office visit.
This analyst role is ideal for someone who enjoys statistical problem solving, working with real client data and presenting insight that informs decisions and helps stakeholders. You'll join a team that values thoughtful research, clear communication and strong analytical thinking. As an analyst in this team you'll manage your own workload, contribute to forecasting, and support a UKâwide team to deliver high-quality insight.
What you'll be doing:
- You'll join a growing data function at an exciting point of change, with the chance to shape new ways of working and a plan of an Azure based stack being introduced.
- You'll work within a collaborative team, focusing on forecasting and analytics and presenting to clients, stakeholders and internally.
- You'll work on forecasting projects built on fresh datasets gathered from clients.
- You'll extract and analyse data in SQL and Excel, applying statistical methods to understand trends and build models.
- You'll manage data from multiple sources, develop forecasting outputs and help design analytical approaches that keep evolving as the organisation progresses towards an Azure stack.
- You'll also play a key part in presenting insights, preparing reports, shaping presentations and communicating your findings to both technical and non-technical audiences.
- Over time, you'll take ownership of sections of client delivery, ensuring insights land clearly and confidently with stakeholders.
- You'll collaborate with colleagues across the UK, so being proactive and reliable in a remote working setup is essential.
The team meets twice a month in London, giving you the chance to build strong working relationships and contribute to in-person discussions.
What experience you'll need to apply:
- A few years of experience working in an analyst role.
- Strong background in statistics, economics or research-led analysis.
- Proven experience using SQL and Excel for data extraction and analysis.
- Experience working on forecasting projects.
- Solid understanding of analytical methodologies and applied statistical techniques.
- Clear and confident communicator who can explain complex ideas simply and present insights.
- Experience working in dispersed or remote teams.
- Ability to manage your own workload and work independently.
- Stakeholder engagement experience and confidence presenting to groups.
- Any exposure to Azure or Databricks is a bonus.
- Background in client facing environments, ideally within a charity, would be a bonus.
What you'll get in return for your experience:
A salary of up to ÂŁ55,000 per annum, depending on experience, plus a great package on top. The role is heavily remote but there is a requirement to be based in London twice a month, so ideally you'd live in or around London and happy to do this commute.
What's next?
If you're interested in this Analyst position, please apply using the button below and we'll get back to you to arrange a call if it's a good fit!
Data Forecasting Analyst in London employer: ADLIB Recruitment | B CorpTM
Contact Detail:
ADLIB Recruitment | B CorpTM Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Forecasting Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that arenât even advertised yet.
â¨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-world examples from your experience to demonstrate how youâve tackled forecasting projects.
â¨Tip Number 3
Donât underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation and reiterate your interest in the role.
â¨Tip Number 4
Apply through our website for the best chance! We love seeing candidates who are proactive and engaged with our platform. Plus, it makes tracking your application easier for us!
We think you need these skills to ace Data Forecasting Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience in statistical analysis and forecasting. Use keywords from the job description to show weâre on the same page about what you bring to the table.
Showcase Your Skills: Donât just list your skills; give examples of how youâve used SQL and Excel in real projects. We love seeing how youâve tackled data challenges and presented insights to stakeholders.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why youâre excited about this role and how your background aligns with our needs. Keep it conversational but professional, just like we do at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates from our team!
How to prepare for a job interview at ADLIB Recruitment | B CorpTM
â¨Know Your Stats
Brush up on your statistical knowledge and be ready to discuss how you've applied these methods in past projects. Be prepared to explain complex concepts in simple terms, as you'll need to communicate insights clearly to both technical and non-technical audiences.
â¨SQL and Excel Mastery
Make sure you're comfortable with SQL and Excel, as these are crucial for data extraction and analysis. Consider preparing a few examples of how you've used these tools in forecasting projects, and be ready to discuss the outcomes of your analyses.
â¨Engage with Stakeholders
Think about your experience with stakeholder engagement and prepare to share specific examples. Highlight how youâve presented insights and how you ensured that your findings were understood and actionable for your audience.
â¨Show Your Collaborative Spirit
Since this role involves working within a remote team, be ready to discuss how you manage your workload independently while still being proactive in collaboration. Share examples of how you've built relationships with colleagues, especially in a remote setting.