Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data analysis and create visualisations for impactful decision-making.
- Company: Join the Digital Data Foundation, a leader in data innovation.
- Benefits: Excellent salary, benefits, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and cutting-edge technology.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Degree in data science or related field with strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
James Carrera of Digital Data Foundation is sourcing a specialist to lead hands-on quantitative analysis and translating into visualisations for data-driven decisions, paving the way for data innovation.
Responsibilities
- Through mathematical and statistical methods collect, organize, interpret, and summarize data.
- Performing data analysis in support of finding trends, patterns, and useful outcomes.
- Create visual summary of information in dashboards, infographics and/or images that tell the story behind the data, presenting in written or verbal form to management and clients.
- Work with stakeholders to develop data analysis and project-related requirements to leverage data to solve business needs.
- Automate manual data analysis processes, streamline data intake and analytics.
- Analyse large amounts of raw information to find patterns in support of a business process.
- Build predictive models and machine learning algorithms.
Experience
- Degree level in data science, computer science, statistics or engineering with demonstrated data & analytics success in professional services.
- Experience with statistical programming languages (such as Python, SAS, R).
- Proficiency with data visualization tools such as Power BI, Tableau, Iridium.
- Demonstrated business analysis, solution design, consulting.
- Knowledge of statistics, machine learning and NLP.
- Experience in embedding dashboards within collaboration technologies (such as Microsoft SharePoint, Microsoft Teams, and HighQ).
For a confidential discussion contact James Carrera Digital Data Foundation.
Innovation Manager in London employer: Digital Data Foundation
Contact Detail:
Digital Data Foundation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Innovation Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and analysis projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and innovation. We recommend using the STAR method to structure your answers and highlight your achievements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Innovation Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Innovation Manager role. Highlight your experience with data analysis, visualisation tools, and any relevant projects that showcase your skills in a way that aligns with what we're looking for.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data innovation and how your background makes you the perfect fit for this role. Be specific about your achievements and how they relate to our needs.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in statistical programming languages and data visualisation tools. We want to see how you’ve used these skills in real-world scenarios, so include examples that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Digital Data Foundation
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analysis techniques and tools mentioned in the job description. Brush up on your knowledge of Python, R, and data visualisation tools like Power BI or Tableau. Being able to discuss specific projects where you've used these skills will impress the interviewers.
✨Showcase Your Visualisation Skills
Prepare a portfolio of your previous work that includes dashboards, infographics, or any visual summaries you've created. Be ready to explain the story behind the data and how your visualisations helped drive decisions. This will demonstrate your ability to translate complex data into understandable insights.
✨Understand the Business Context
Research the company and its industry to understand their business needs. Think about how data innovation can solve specific problems they might face. This will help you tailor your responses and show that you’re not just a data whiz but also someone who understands the bigger picture.
✨Prepare for Technical Questions
Expect technical questions related to statistical methods, machine learning algorithms, and data analysis processes. Practice explaining these concepts clearly and concisely. You might even want to prepare a few examples of how you've automated data processes or built predictive models in the past.