At a Glance
- Tasks: Shape forecasting and bring fresh ideas to a dynamic insight team.
- Company: Join a growing data and insight team in a remote-first environment.
- Benefits: Flexible working, monthly meetups, and opportunities for professional growth.
- Other info: Collaborative culture encouraging innovation and fresh perspectives.
- Why this job: Make a real impact by influencing business decisions with your analytical skills.
- Qualifications: 4+ years in data analysis, strong SQL and statistical skills required.
Help shape forecasting, challenge thinking and bring fresh ideas to a great insight team. Remote first role with monthly meetups and plenty of flexibility. Opportunity to own and develop forecasting models that influence business and client decisions. Join a collaborative team where you'll be encouraged to challenge existing ways of working and drive innovation.
We're looking for a Data Analyst/Econometrician to join a growing Data & Insight team. This is a fantastic opportunity for someone who enjoys combining data analysis, forecasting and commercial thinking to solve real business problems. You'll work with an established insight function, helping to create meaningful analysis, improve forecasting capability and turn complex data into clear recommendations that support decision making across the business and its clients.
As a Data Analyst, you'll play a key role in maintaining and enhancing forecasting and econometric models that are key to the organisation's insight offering. You'll analyse large and varied datasets, identify trends and drivers, and help build a stronger understanding of future market performance. You'll work across a broad range of analytical projects including forecasting, benchmarking, market analysis and performance reporting. This role is about more than producing numbers. You'll be expected to interpret findings, spot opportunities for improvement and communicate complex insights in a way that non-technical audiences can easily understand. The team is keen to bring in someone who will offer a fresh perspective, challenge assumptions and identify smarter ways of working. In this role, you'll also contribute to improving processes, increasing efficiency and helping future proof the team's analytical capability.
What experience you'll need to apply:
- 4+ years of experience as a Data Analyst, Econometrician or similar role focusing on quantitative and forecasting projects.
- Strong experience working with forecasting models, statistical analysis and quantitative research.
- Experience using SQL and either Python, R or SPSS.
- Strong experience building, maintaining or interpreting forecasting models.
- Excellent statistical and analytical skills (ideally including regression analysis, forecasting and scenario modelling).
- Experience working with large and complex datasets from multiple sources.
- Ability to explain complex analysis clearly to non-technical stakeholders and experience presenting to technical and non-technical stakeholders.
- Commercially minded with the confidence to challenge thinking and influence decisions.
- Strong attention to detail and analytical attention.
- Experience with Power BI or Tableau would be beneficial.
- Experience within financial services, commercial analytics, consulting or research environments would be advantageous.
What you'll get in return for your experience:
This role offers a base salary of up to £ depending on experience, alongside a flexible remote first working environment with monthly office visits. You'll join a supportive and highly experienced team at an exciting stage of growth and transformation. There is genuine opportunity to influence the direction of analytical products, work on meaningful projects and develop your expertise in forecasting, modelling and advanced analytics.
What's next?
If this opportunity sounds like a good fit, we'd love to hear from you. Apply via the application button today and we’ll get in touch if it’s a good fit!
Data Analyst (Forecasting & Modelling) in London employer: ADLIB Careers
As a Tech Support Engineer, you'll thrive in a dynamic environment that prioritises employee growth and development. With a strong focus on mentorship and collaboration, our supportive team culture encourages you to take ownership of complex technical challenges while enhancing your skills through ongoing training opportunities. Located in vibrant Bristol or London, this role not only offers the chance to make a significant impact but also provides a unique work-life balance with flexible office days.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Forecasting & Modelling) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ADLIB Careers!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst (Forecasting & Modelling) at ADLIB Careers.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ADLIB Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst (Forecasting & Modelling) at ADLIB Careers, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst (Forecasting & Modelling) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ADLIB Careers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ADLIB Careers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ADLIB Careers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ADLIB Careers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
