At a Glance
- Tasks: Solve complex problems and deliver analytics solutions in a dynamic environment.
- Company: Join a leading tech company focused on innovation in eCommerce logistics.
- Benefits: Competitive day rate, flexible work arrangements, and a supportive culture.
- Other info: Inclusive recruitment process with support for all candidates.
- Why this job: Make a significant impact while working with SQL and Python on strategic initiatives.
- Qualifications: Expertise in SQL, Python knowledge, and experience with large datasets.
Location: London or Manchester 4-5 times per week (Candidate choice)
Contract Duration: 6-months
Day Rate: To be discussed (PAYE)
We are seeking a Senior Technical Business Analyst with brilliant SQL & Python knowledge to play a critical role in our client's Tech SME team, focused on EU Routing & Smart Delivery operations. This position is ideal for a mature, experienced analyst who thrives in an ever-evolving environment and can make an immediate impact within a 6-month timeframe.
Key Responsibilities:
- Solve Complex Problems: Identify, scope, and deliver end-to-end analytics solutions in areas where challenges may be ill-defined. Balance short-term needs against long-term goals.
- Influence Strategy: Generate recommendations that directly inform business decisions. Own key items on the team's roadmap while contributing to operational planning inputs.
- Drive Operational Excellence: Streamline processes and improve data quality by working with data owners and production systems.
- Lead Programmes: Work on strategic initiatives to drive long-term organisational decisions.
Key Technical Requirements:
- Expert level Business Analysis background within large corporate environments, any logistics would be a bonus but not essential.
- Expert-level SQL: Proven experience with SQL is essential.
- Python Experience: Familiarity with Python for data analysis is highly desired.
- Large Datasets Experience: Comfort working with extensive datasets and enhancing their efficiency.
- Intermediate Architecture Comprehension: Understanding of database architecture and performance improvement strategies.
Work Environment:
The role requires a commitment of five days per week in the office, although we are open to exceptional candidates who may prefer a four-day on-site arrangement.
If you are ready to take on this challenge and make a significant impact, we encourage you to apply. Join our client's journey towards innovation and excellence in eCommerce logistics!
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
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.
Snr Data Business Analyst (SQL, Python Knowledge) in London employer: Pontoon
Pontoon is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration in the heart of London. With flexible working arrangements and a strong emphasis on professional development, employees are empowered to grow their skills while contributing to innovative AI-driven solutions in the banking sector. Join us to be part of a team that values your input and encourages meaningful contributions to customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Snr Data Business Analyst (SQL, Python Knowledge) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Pontoon before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Pontoon.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Pontoon.
We think you need these skills to ace Snr Data Business Analyst (SQL, Python Knowledge) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pontoon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pontoon.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pontoon.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Pontoon.
