At a Glance
- Tasks: Drive insights from data to optimise digital marketing strategies and customer journeys.
- Company: Join a forward-thinking company with a focus on innovation and autonomy.
- Benefits: Competitive salary, hybrid work, generous holiday, and employee benefits.
- Other info: Opportunity for career growth into an Analytics & Insight Manager position.
- Why this job: Be the first Insights Analyst and shape your role while impacting key business decisions.
- Qualifications: 2+ years in an insights role with strong analytical and storytelling skills.
The predicted salary is between 40500 - 49500 £ per year.
A business spends serious money every month on digital marketing, and it brings in a strong return. But they're now asking whether it could do better. Thousands of customers use their services each year, giving them loads of data points; the data exists but they need someone to drive the insights. We're helping them find an Insights Analyst who can help make sense of all the data.
Why this role is different
You won't be joining a team of analysts or picking up someone else's reports. You'll be the first, with complete autonomy to shape the role as you see fit. You'll report directly to the CEO, and your findings will go straight to the people who make the decisions. If you show what insight can do, there's a clear path to growing into an Analytics & Insight Manager role and building a team around you.
The small in-house tech team (an Ops/Tech Director and two developers) will help you get the data you need. That means your time goes on finding out what the data means, not on writing queries all day. You'll also have access to AI tools, including OpenAI, and a leadership team that's open to new ways of working.
The questions you'll be answering
- Is the business getting the most from its marketing spend, and where could Google PPC and acquisition do better?
- What happens to customers once they start?
- Who stays on track, who falls behind, and why?
- Where do customers drop out of the journey, and is it because of what we said, or how and when we said it?
- What patterns show up across different customer demographics?
- How can the existing reports and dashboards be joined up into one clear picture?
- Where could processes, automation or AI make the biggest difference?
What you'll bring
- At least 2 years in an insight-focused role, such as Commercial Analyst, Insights Analyst or BI Analyst
- Experience analysing customer behaviour, the customer journey, or marketing performance (Google PPC is a big plus)
- Experience with demographic analysis or customer segmentation
- Strong Excel skills, plus experience with Power BI or similar tools
- A habit of asking 'why?' and the confidence to put that question to senior leaders
- The ability to turn analysis into a clear story and recommendations people can act on
- Experience in a regulated environment, such as financial services, fintech or gambling, which will help you settle in quickly
- Pure SQL experience matters less here than commercial curiosity. They want someone who looks beyond the numbers.
The package
- £45,000 salary
- Monday to Friday, 9-5 (37.5 hours), with an hour of flexibility either side
- Hybrid working, 3 days in the office (once you've had time to get to know the business)
- 25 days' holiday plus bank holidays
- Company pension and an employee benefits scheme
- Free on-site parking (the office is best reached by car)
If this is of interest, submit your CV now to be considered. Or reach out for further information!
Insights Analyst employer: Lorien Resourcing Limited
Join a dynamic and innovative technology team in the heart of the City of London, where your expertise as an AI / Fullstack Engineer will be valued and nurtured. With a strong focus on employee growth, collaborative work culture, and exposure to cutting-edge AI technologies, this role offers not just a job but a meaningful career path. Enjoy competitive compensation and the opportunity to work on impactful projects that drive real business value while being part of a forward-thinking organisation.
StudySmarter Expert Advice🤫
We think this is how you could land Insights Analyst
✨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 Lorien Resourcing Limited!
✨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 Insights Analyst at Lorien Resourcing Limited.
✨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 Lorien Resourcing Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Insights Analyst at Lorien Resourcing Limited, 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 Insights Analyst
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 Lorien Resourcing Limited, 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 Lorien Resourcing Limited. 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 Lorien Resourcing Limited
✨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 Lorien Resourcing Limited!
✨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.
