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- Tasks: Transform data into actionable insights and drive strategic decision-making.
- Company: Join Unbiased, an innovative AI-powered financial advice platform.
- Benefits: Generous training allowance, wellbeing support, flexible working, and ample holiday time.
- Why this job: Make a real impact by shaping data-driven decisions in a dynamic environment.
- Qualifications: 3+ years in analytics, strong problem-solving skills, and experience with SQL and Looker.
- Other info: Inclusive culture focused on diversity, collaboration, and personal growth.
The predicted salary is between 28800 - 48000 £ per year.
Unbiased is growing, and so are our data needs. In this role, you will be using your analytical expertise to transform data into actionable insights, which will help drive strategic decision-making and continued business success. We are looking for someone who is insanely curious, great at working at speed, and comfortable with ambiguity. You will have strong business and commercial knowledge and get to the 'so what' based on the analysis you do. You help shape the right analysis for the decision at hand.
Responsibilities
- Translating business questions into analytical work and presenting clear data "stories" to stakeholders.
- Producing high-quality analysis and building robust reporting – helping drive business decisions, single source of truth and uncovering actionable insights.
- Working closely with our Data Engineer to ensure the data needs of the business are being met.
- Democratizing data across the business – upskilling new and existing colleagues on data literacy and our BI tool, Looker.
- Assessing, profiling, and QA'ing datasets to identify patterns, gaps, and opportunities.
- Building and maintaining dashboards and analysis to provide timely insights across the business.
- Updating and improving regular reports.
Qualifications
- Min 3 years' hands-on experience in an analytics or consultancy role.
- Experience conducting analysis projects.
- Strong problem-solving skills – a highly analytical & commercially minded approach to deliver impactful results.
- Ability to communicate complex analysis clearly and manage stakeholders effectively.
- Understanding of marketing analytics, GA, GTM.
- Experience with a range of analytics tools and knowledge of SQL.
- Ideally experience with Looker and LookML.
- Curious, proactive, and able to propose new angles or untapped opportunities.
Our Shared Values
- Be relentless about progress – working at pace to solve problems, navigate around blockers and prioritising company OKRs.
- Own it and get it done – taking ownership of your projects, involving the right people at the right time and making meaningful contributions.
- Share and seek input – proactive in seeking and acting upon feedback. Being open, sharing knowledge and proactively communicating.
- Enjoy the journey – ensuring cross-team collaboration and celebrating achievements of your peers.
Benefits
- Investment in your Development – a generous yearly allowance for training.
- Supporting your Wellbeing – annual wellbeing allowance and private medical insurance for you and your family.
- Social Events – plenty of activities in our office in Farringdon.
- Holiday – ample holiday time, including your birthday off as paid annual leave.
- Flexible working – a mix of office and remote work.
- Pension – salary sacrifice scheme with Unbiased contribution above minimum.
- Private Medical Insurance – including dependents and spouse.
- Life insurance.
- Cycle to work scheme.
About Unbiased
Unbiased is an AI-enabled financial advice platform, empowering people to make confident financial decisions and delivering unrivalled growth for advice firms. With the greatest wealth transfer in history now underway, Unbiased connects people to trusted advice across pensions and retirement, inheritance planning, mortgages, accountancy, and more. The Unbiased platform applies advanced models trained on a rich dataset of user activity to intelligently match individuals with qualified advisers, providing the easiest and most reliable way to access financial expertise. Since 2010, Unbiased has generated over £100 billion in AUM opportunities for financial advisers, with 65% of prospects new to advice. Reaching more than 10 million consumers annually, it is the leading source of client demand in the industry.
We actively encourage women to apply and bring their diverse perspectives to our team, as we believe in fostering an inclusive and empowering workplace where everyone can thrive. We are a female-founded company with a culture focused on diversity and inclusion.
Equal Opportunity
We are a proud equal opportunity employer. We do not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. Personal information about unsuccessful candidates will be held for 12 months after the recruitment exercise has been completed and will then be destroyed or deleted.
Data Analyst in London employer: Unbiased
Contact Detail:
Unbiased Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Unbiased on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by practising your data storytelling skills. Think of examples where you've turned complex data into actionable insights. This will show that you can communicate effectively, which is key for the Data Analyst role.
✨Tip Number 3
Show off your curiosity! During interviews, ask insightful questions about the company’s data strategies and how they use analytics to drive decisions. This demonstrates your genuine interest in the role and the business.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Unbiased team!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Show Your Analytical Skills: When you’re writing your application, make sure to highlight your analytical expertise. We want to see how you've transformed data into actionable insights in your previous roles. Use specific examples to demonstrate your problem-solving skills and how you’ve driven business decisions.
Craft a Compelling Data Story: Remember, it’s not just about the numbers! We love candidates who can present clear data stories. In your application, explain how you’ve communicated complex analyses to stakeholders in a way that’s easy to understand. This will show us you can bridge the gap between data and decision-making.
Be Curious and Proactive: We’re looking for someone who’s insanely curious! In your application, share instances where you’ve proposed new angles or identified untapped opportunities. This will help us see your proactive approach and how you can contribute to our team’s success.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and culture while you’re at it!
How to prepare for a job interview at Unbiased
✨Know Your Data Tools
Make sure you're familiar with the analytics tools mentioned in the job description, especially SQL and Looker. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Craft Your Data Stories
Prepare to present clear and compelling data stories. Think about how you can translate complex analyses into actionable insights that resonate with stakeholders. Practice explaining your past work in a way that highlights the 'so what' of your findings.
✨Show Your Curiosity
Demonstrate your curiosity by asking insightful questions during the interview. This shows that you're not just interested in the role but also in how you can contribute to the company's growth and navigate ambiguity effectively.
✨Emphasise Collaboration
Highlight your experience working closely with others, especially data engineers or cross-functional teams. Share examples of how you've collaborated to meet business needs and how you can help democratise data literacy within the company.
