At a Glance
- Tasks: Lead data analysis projects and develop insightful reporting for strategic initiatives.
- Company: Dynamic company in London with a focus on engineering excellence.
- Benefits: Competitive daily rate, hybrid working model, and opportunities for career growth.
- Other info: Join a skilled team and tackle interesting challenges in a collaborative environment.
- Why this job: Make an impact by transforming data into actionable insights and solutions.
- Qualifications: Extensive data analysis experience, strong SQL and Python skills, and storytelling with data.
Location: London, UK Hybrid Working Model (2 days in London City Office)
Type: Daily rate contract
Term: 12 months
Rate: £400-475
We are looking for a talented and experienced Data Analyst to take on a senior role in the team. This role requires someone that is well-versed in a range of tooling, ideally someone that has been in an environment where engineering excellence and product thinking has been applied to data.
Key responsibilities & duties include:
- Developing comprehensive reporting, data, and analytical products
- Leading on the delivery of several types of work surrounding New Ventures, Global Currency and Business Transformation
- Serving as a senior level individual contributor
- Translating complex business requirements into data solutions that are high-quality
- Using customer data to create models that will be used to predict the size of the opportunity of potential strategic initiatives, including new and maturing ventures
- Instrumenting dashboards to track performance of these initiatives and ventures, and to compare performance to predictions
- Pulling insights from this performance data to help us better understand our customers' behaviour and to improve our offerings to them over time
- Incrementality analysis around existing products and services and the impact on key metrics such as acquisition, engagement, retention and financial contribution
- Producing partner facing analysis and reports that deliver meaningful insights in an easily comprehensible way for commercial stakeholders
Required Skills:
- Extensive experience taking a problem from ideation through to solution that drives business outcomes
- Experience of writing queries in Python to process, gain insight and visualise the data
- In-depth experience with writing and optimising SQL queries for data analysis and reporting
- Experience in telling great stories with data, with the ability to create powerful visualisations to bring it to life - Tableau or equivalent visualisation tool experience
- A problem solver with an analytical mind that focuses on progress to get things into our colleagues' hands sooner
- Experience with applying statistical methodologies
- Experience in designing and building in a complex environment with high volumes of data
- Worked with agility in mind, in an environment where you break work down and focus on delivering iteratively
This is a long term contract with excellent career potential. You will work alongside skilled team members on interesting and challenging projects. If you would be interested, please submit your CV to the link provided for immediate consideration.
Working Place: London, England, United Kingdom
Senior Data Analyst in London employer: Elwood Roberts
Join a dynamic team in London as a Senior Data Analyst, where you'll thrive in a hybrid working model that promotes work-life balance and flexibility. Our collaborative culture fosters innovation and professional growth, offering you the chance to work on exciting projects that drive meaningful business outcomes. With competitive daily rates and the opportunity to develop your skills alongside industry experts, this role is perfect for those seeking a rewarding career in data analysis.
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 your connections in the data analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a Senior Data Analyst.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data visualisations and analytical projects. This will not only impress potential employers but also give you a chance to demonstrate your storytelling abilities with data.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools to drive business outcomes in past roles. Practice common interview questions related to data analysis to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with data tooling, SQL queries, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Showcase Your Storytelling Skills:When writing your application, don’t just list your skills—tell us how you've used them to drive business outcomes. We love candidates who can turn complex data into compelling stories, so share examples of your visualisation work and insights.
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. Remember, clarity is key when translating complex requirements into data solutions!
Apply Through Our Website:We encourage you to submit your application through our website for immediate consideration. It’s the best way for us to receive your details and get you in front of the right people quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Elwood Roberts
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, especially SQL and Python. Brush up on your skills and be ready to discuss specific projects where you've used these tools to drive business outcomes.
✨Showcase Your Storytelling Skills
Prepare to demonstrate how you've turned complex data into compelling narratives. Bring examples of visualisations you've created, ideally using Tableau or similar tools, and be ready to explain the insights they provided.
✨Understand the Business Context
Familiarise yourself with the company’s industry and their strategic initiatives. Be prepared to discuss how your analytical skills can contribute to their goals, particularly around customer behaviour and performance tracking.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you’ve taken a problem from ideation to solution, and be ready to explain your thought process and the impact of your work on key metrics.
