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For Companies At a Glance
- Tasks: Join us as an R Developer to enhance our analytics platform and build advanced models.
- Company: We're a dynamic analytics business in central London, focused on marketing ROI.
- Benefits: Enjoy flexible work with 2 days in the office and opportunities for growth.
- Why this job: Be part of a collaborative team transforming ideas into impactful solutions in marketing analytics.
- Qualifications: Proven R development skills, experience with data science libraries, and cloud knowledge preferred.
- Other info: Work closely with senior leadership and support analyst teams in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
R Developer
Central London 2 days per week
We are looking for an R Developer to join an analytics business based in central London. They have a bespoke in house tool which is used for building advanced models to help their customers understand their return on investment from marketing spend.
As an R Developer you will be responsible for maintaining and enhancing the analytics platform. You will be designing and developing new features for the customers that they license the product to.
Some of the other responsibilities will include:
Develop and maintain cloud solutions, ensuring speed, scalability, and security
Assist in the development of core analytical products and solutions
Support analyst teams to automate processes and workflows
Collaborate with senior leadership to transform ideas into development plans
Work with development teams to ensure seamless integration of solutions
Required Skills and Experience:
Proven track record in developing high-performance, secure applications using R and R Shiny
Experience with core data science libraries (tidyverse, devtools, roxygen2, testthat, R6, nloptr)
Experience developing web-based tools using R Shiny
Knowledge of cloud computing (GCP or AWS) would be beneficial
Experience with relational databases (MySQL or Postgres)
Familiarity with Git and Docker
Strong communication skills to convey complex ideas to non-technical stakeholders
Experience with Python libraries
Interest in marketing analytics techniques (Multi-Touch Attribution, Marketing Mix Modelling)
If you have the desired skills and experience and would like to find out more please respond to this advert by following the link below and attaching a copy of your most recent CV. If successful we will be in touch to discuss the opportunity in more detail.
R Developer employer: 105940
Contact Detail:
105940 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land R Developer
✨Tip Number 1
Make sure to showcase your experience with R and R Shiny in any conversations you have. Highlight specific projects where you've developed high-performance applications, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the company's analytics platform and think about how you could enhance it. Being able to discuss potential improvements or features during your interview will demonstrate your proactive approach and understanding of their needs.
✨Tip Number 3
Network with professionals in the analytics field, especially those who have experience with marketing analytics techniques. This can provide you with insights and potentially valuable connections that could help you land the job.
✨Tip Number 4
Brush up on your knowledge of cloud computing platforms like GCP or AWS, as well as relational databases like MySQL or Postgres. Being able to speak confidently about these technologies will set you apart from other candidates.
We think you need these skills to ace R Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R, R Shiny, and any relevant data science libraries. Emphasize your skills in developing high-performance applications and your familiarity with cloud computing.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to develop web-based tools and collaborate with teams.
Showcase Relevant Projects: If you have worked on projects involving marketing analytics techniques or cloud solutions, be sure to include these in your application. Provide links to any relevant work or GitHub repositories if possible.
Highlight Communication Skills: Since the role requires conveying complex ideas to non-technical stakeholders, make sure to mention any experiences where you've successfully communicated technical concepts to diverse audiences.
How to prepare for a job interview at 105940
✨Showcase Your R and R Shiny Skills
Be prepared to discuss your experience with R and R Shiny in detail. Bring examples of projects where you've developed high-performance applications, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Knowledge of Data Science Libraries
Familiarize yourself with core data science libraries like tidyverse, devtools, and testthat. During the interview, mention specific instances where you've utilized these libraries to enhance your projects or streamline processes.
✨Discuss Cloud Computing Experience
If you have experience with cloud platforms like GCP or AWS, make sure to highlight it. Discuss how you've implemented cloud solutions in past projects, focusing on aspects like speed, scalability, and security.
✨Prepare for Technical Questions
Expect technical questions related to relational databases, Git, and Docker. Brush up on these topics and be ready to explain how you've used them in your previous roles, especially in relation to developing web-based tools.
