At a Glance
- Tasks: Lead data analysis projects and create impactful reports for strategic initiatives.
- Company: Dynamic company in London with a focus on innovation and data-driven solutions.
- Benefits: Competitive daily rate, hybrid working model, and opportunities for professional growth.
- Other info: Join a collaborative team in a fast-paced environment with exciting challenges.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Extensive experience in data analysis, SQL, and data visualisation tools like Tableau.
The predicted salary is between 50000 - 65000 € per year.
Hybrid Working Model: 2 days in London City Office
Type: Daily rate contract
Term: 12 months
We are looking for a talented and experienced Data Analyst to take on a senior role in the team. This role requires someone that's well-versed in a range of tooling, ideally someone that's been in an environment where engineering excellence and product thinking has been applied to data.
- 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's driven business outcomes
- Experience of writing queries in Python to process, gain insight and visualise the data
- In-depth 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
Senior Data Analyst employer: Elwood Roberts
Join a forward-thinking company that values engineering excellence and product innovation, offering a dynamic hybrid working model in the heart of London. As a Senior Data Analyst, you'll thrive in a collaborative culture that prioritises employee growth and development, with opportunities to lead impactful projects and drive strategic initiatives. Enjoy the benefits of working in a vibrant city, where your insights will shape the future of our offerings and enhance customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 demonstrate your expertise but also give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills with data. Be ready to discuss how you've translated complex business requirements into actionable insights, just like the role demands. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a chance to showcase your enthusiasm for the role and the company culture.
We think you need these skills to ace Senior Data Analyst
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 problem-solving skills. We want to see how you’ve driven business outcomes!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story! Share why you're passionate about data analysis and how your background aligns with our needs. Don’t forget to mention your experience in creating impactful visualisations and dashboards.
Showcase Your Analytical Mindset:In your application, give examples of how you've tackled complex problems and delivered solutions. We love seeing candidates who can translate business requirements into actionable data insights, so make sure to highlight those experiences!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Elwood Roberts
✨Know Your Tools Inside Out
Make sure you're well-versed in the tools mentioned in the job description, especially Python and SQL. Brush up on writing and optimising queries, as you'll likely be asked to demonstrate your skills during the interview.
✨Showcase Your Storytelling Skills
Prepare to discuss how you've turned complex data into compelling narratives. Bring examples of your visualisations, perhaps using Tableau or similar tools, to illustrate how you've made data accessible and actionable for stakeholders.
✨Understand the Business Context
Familiarise yourself with the company's recent ventures and strategic initiatives. Be ready to discuss how your analytical skills can contribute to their goals, particularly in areas like customer behaviour and performance tracking.
✨Demonstrate Your Problem-Solving Approach
Be prepared to walk through a past project where you took a problem from ideation to solution. Highlight your analytical mindset and how you iteratively delivered results, showcasing your ability to adapt and focus on progress.
