Job Title: Data Analyst (Temporary – 6 Weeks)Location: Remote (Initial Onboarding in Scotland – Travel & Accommodation Covered)Rate: £15.00 – £18.00 per hour (depending on experience)Start Date: Ideally Next WeekInterview Process: 1 x 20-minute video interview via MS TeamsA leading logistics organisation is looking for up to four Data Analysts to support their planning team during a high-demand period. This is a fantastic short-term opportunity for anyone with strong data skills looking to gain experience in a fast-paced, analytical environment.The Role You’ll be working closely with a team of planners responsible for designing delivery routes used by major carriers. Each plan takes several days to complete, and due to increased workload, there is a backlog to work through between now and September.As a Data Analyst, your focus will be on:
- Crunching large data sets to support route planning
- Working closely with planners to understand the planning process
- Analysing trends and patterns to inform planning decisions
- Handing over your insights to a separate team who will build the plans
- Contributing to a potential review of the overall process for improvement
Key Skills & Experience
- Strong Microsoft Excel skills
- Experience in data analysis, ideally within logistics or operations
- Python or other coding experience is highly desirable
- Backgrounds as a Data Analyst, Business Analyst, or Engineering Analyst are all considered relevant
- Strong analytical mindset and attention to detail
Additional Information
- This role is remote, but the first 3–4 days will require working on-site in Scotland for onboarding and shadowing – all travel and accommodation costs will be covered
- Full-time hours: Monday to Friday, 9:00am – 5:30pm
- Initial 6-week contract, with up to four hires being made
This is a great opportunity to contribute to a time-sensitive project with real business impact.JU109840Tiger is B Corp Certified. We are part of a global movement of businesses committed to improving social and environmental conditions around the world.