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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 solutions.
- 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: Experience in R, R Shiny, and cloud computing is essential; strong communication skills are a must.
- Other info: Work closely with senior leadership and analyst teams to drive innovation.
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: Levy Associates
Contact Detail:
Levy Associates 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
Brush up on your knowledge of cloud computing, especially GCP or AWS. Be prepared to discuss how you would ensure speed, scalability, and security in cloud solutions, as this is a key part of the role.
✨Tip Number 4
Since communication with non-technical stakeholders is crucial, practice explaining complex concepts in simple terms. This will help you stand out as someone who can bridge the gap between technical and non-technical teams.
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 relevant data science libraries. Emphasize any projects where you've developed high-performance applications or worked with cloud solutions.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific skills that align with the job description, such as your experience with marketing analytics techniques and collaboration with non-technical stakeholders.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your skills in R development, cloud computing, or web-based tools, include them in your application. This can help illustrate your capabilities to the hiring team.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at Levy Associates
✨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 Data Science Knowledge
Familiarize yourself with core data science libraries like tidyverse and devtools. During the interview, highlight how you've used these tools in past projects to solve complex problems or improve processes.
✨Discuss Cloud Computing Experience
If you have experience with cloud platforms like GCP or AWS, make sure to mention it. Discuss any relevant projects where you developed cloud solutions, focusing on aspects like speed, scalability, and security.
✨Communicate Complex Ideas Simply
Since strong communication skills are essential for this role, practice explaining technical concepts in a way that non-technical stakeholders can understand. Use analogies or simple terms to convey your ideas effectively.
