Innovation Manager - Data Specialist

Innovation Manager - Data Specialist

Full-Time 43200 - 72000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead hands-on data analysis and create visualisations for impactful decision-making.
  • Company: Join a forward-thinking digital data foundation in London.
  • 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: Drive data innovation and make a real difference in business outcomes.
  • Qualifications: Degree in data science or related field with experience in analytics.

The predicted salary is between 43200 - 72000 £ per year.

About the job

£ Excellent Salary + Benefits - London

James Carrera of Digital Data Foundation is sourcing a specialist to lead hands-on quantitative analysis and 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 summaries 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).

Innovation Manager - Data Specialist employer: Digital Data Foundation

At Digital Data Foundation, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As an Innovation Manager - Data Specialist in London, you will benefit from excellent salary packages, comprehensive benefits, and ample opportunities for professional growth, all while working alongside a team of passionate data experts dedicated to driving meaningful change through data-driven insights.

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Contact Details:

Digital Data Foundation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Innovation Manager - Data Specialist

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 that applications alone can’t.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data visualisations and analysis projects. We love seeing real examples of what you can do, so make sure to highlight your best work.

Tip Number 3

Prepare for interviews by practising common questions related to data analysis and innovation. We recommend doing mock interviews with friends or using online platforms 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 by the right people. Plus, we’re always looking for passionate candidates who want to make an impact.

We think you need these skills to ace Innovation Manager - Data Specialist

Quantitative Analysis
Data Visualisation
Statistical Methods
Data Interpretation
Trend Analysis
Dashboard Creation
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Innovation Manager - Data Specialist 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 mentioned in the job description. Brush up on your knowledge of statistical programming languages like Python or R, and be ready to discuss how you've used them in past projects.

Showcase Your Visualisation Skills

Prepare to demonstrate your proficiency with data visualisation tools such as Power BI or Tableau. Bring examples of dashboards or infographics you've created, and be ready to explain the story behind the data they represent.

Understand the Business Context

Research the company and its industry to understand their business needs. Be prepared to discuss how your data analysis can solve specific problems they face, and think about how you can leverage data to drive innovation within their organisation.

Practice Your Presentation Skills

Since you'll need to present your findings to management and clients, practice explaining complex data insights in a clear and engaging way. Use storytelling techniques to make your data relatable and impactful during the interview.