Programmer/Analyst

Programmer/Analyst

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Pontoon

At a Glance

  • Tasks: Collaborate on automation and data analysis in the retail industry.
  • Company: Join a dynamic employment consultancy focused on inclusivity.
  • Benefits: Competitive pay, professional growth, and a collaborative environment.
  • Other info: Exciting challenges await in a supportive team atmosphere.
  • Why this job: Make a real impact in fleet scheduling while enhancing your programming skills.
  • Qualifications: Proficiency in SQL and strong analytical skills required.

The predicted salary is between 36000 - 60000 £ per year.

Submit your CV and any additional required information after you have read this description by clicking on the application button.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

Are you ready to take your programming skills to the next level in the dynamic retail industry? Our client is on the lookout for a talented Analyst Programmer to partner with the EU Fleet Planning team. If you're passionate about automation and data analysis, this temporary role could be your next big opportunity!

Role: Analyst Programmer

Duration: 6 Months

Location: London (5 days on site)

Rate: £329 per day (PAYE)

What You’ll Do:

  • Collaborating with the EU Fleet Planning team to accelerate the execution of the automation roadmap.
  • Creating, testing, and analyzing User Acceptance Test (UAT) scenarios for the development of a science optimization model.
  • Operationalizing the science optimization model within fleet scheduling tools using real business data.

You’ll work closely with a Senior Fleet Supply Chain Manager based in central London, ensuring effective ramp-up and interaction. This role requires you to be in the office 3-4 days a week to foster collaboration and innovation.

What We’re Looking For:

  • Ownership: Take initiative and be accountable for your work.
  • Insist on the Highest Standards: Strive for excellence in everything you do.
  • Dive Deep: Analyze data and processes thoroughly to drive improvements.
  • Deliver Results: Focus on achieving goals and meeting deadlines.
  • Learn and Be Curious: Embrace new challenges and continuously seek knowledge.

The ideal candidate will demonstrate:

  • A curiosity to quickly learn team operations and work independently on specific tasks to expedite UAT phases.
  • Proficiency in building, managing, and analyzing complex data sets (basic requirement is through MS-Excel; SQL knowledge is mandatory, with proficiency being a plus).
  • An ability to grasp ambiguous technical and business concepts and requirements.
  • Strong critical thinking skills to operate and deliver independently with limited information.

Why Join Us?

  • Exciting Challenges: Dive into a role that offers real impact in fleet scheduling operations.
  • Professional Growth: Work alongside experienced professionals and enhance your skill set.
  • Collaborative Environment: Be part of a team that values communication and teamwork.

If you are ready to embrace this exciting opportunity and make a difference in the retail sector, we want to hear from you! Apply Now!

Candidates will ideally show evidence of the above in their CV to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Programmer/Analyst employer: Pontoon

At Pontoon, we pride ourselves on being an inclusive employer that values diversity and fosters a collaborative work culture. As an Analyst Programmer in London, you'll have the opportunity to tackle exciting challenges in the retail industry while working closely with experienced professionals who are committed to your growth. With a focus on innovation and excellence, we provide a supportive environment where you can thrive and make a meaningful impact.

Pontoon

Contact Details:

Pontoon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Programmer/Analyst

Get Involved in Data Science Meetups

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Show Off Your Projects

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Apply Directly through Our Website

When you find a suitable opening like Programmer/Analyst at Pontoon, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Programmer/Analyst

Programming Skills
Data Analysis
Automation
User Acceptance Testing (UAT)
SQL
MS Excel
Critical Thinking

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Pontoon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pontoon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Pontoon

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pontoon!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.