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- Tasks: Build data science solutions and collaborate on innovative analytics projects.
- Company: Join the Digital Data Foundation, a leader in data-driven transformation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by using advanced analytics and AI to solve real business problems.
- Qualifications: Bachelor's degree in Computer Science or STEM, with 3+ years in Data Science.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
James Carrera of Digital Data Foundation is recruiting an Analytics Developer to support the delivery of data-driven business transformation programmes in close collaboration with stakeholders across the firm, identifying business improvement opportunities utilising advanced analytics and AI.
Key responsibilities:
- Build data science solutions to support different areas of the business
- Collaborate with Data Services team to suggest, research and assess new ideas and perform exploratory data analysis.
- Discover data insights and share with the business
- Simulation and optimise operational processes
- Utilise Machine Learning algorithms to solve business problems
- Building from Proof of Concept data product to production ready solution
- Engage with technology and business teams to explain and illustrate advanced analytics concepts
- Communicate complex problems and analysis simply with a variety of stakeholders, both technical and non-technical
Experience and knowledge:
- Educated to Bachelors degree in Computer Science or relevant STEM field.
- 3+ years experience in Data Science / Machine learning / AI
- Experienced in: statistical modelling / signal processing / data visualisation / data wrangling
- High level of proficiency with SQL, Python and standard python-based data science libraries.
- Strong proficiency in Power BI Visualisation, Dashboards, Storytelling and DAX
- Experience of the Microsoft Azure Data & Analytics platform, especially Azure Synapse Analytics and/or Databricks
- Demonstrated ability to apply advanced analytical capabilities to break down complex issues
For a confidential conversation please contact James Carrera at Digital Data Foundation.
Analytics Developer employer: Digital Data Foundation
Contact Detail:
Digital Data Foundation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and visualisation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common interview questions. Be ready to explain complex concepts simply, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Analytics Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Developer role. Highlight your experience with data science, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used SQL, Python, or Power BI in past roles. We love seeing real-world applications of your expertise.
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language to explain complex concepts, especially if you're discussing advanced analytics. Remember, we want to understand your thought process without getting lost in jargon!
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 Digital Data Foundation
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and any data science libraries you're familiar with. Be ready to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've applied machine learning algorithms to solve real business problems. Think about the impact your solutions had and be ready to explain your thought process in a way that both technical and non-technical stakeholders can understand.
✨Engage with Data Visualisation
Since Power BI and data storytelling are key parts of this role, come prepared with examples of dashboards or visualisations you've created. Be ready to discuss how you tailored these to meet the needs of different audiences.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams. Prepare to discuss how you've collaborated with both technology and business teams, and how you effectively communicated complex analytics concepts to ensure everyone is on the same page.
