Data Analyst
Role Overview
Permanent Data Analyst position supporting Bleckmann's logistics operations and its relationship with Amazon.
Monday to Friday, 08:00–16:00, with flexibility required during peak periods.
Pay is stated as £29,700 depending on skills and experience; no pay cadence is specified.
Key Skills for This Role
Full Job Posting
Role overview
Permanent Data Analyst position supporting Bleckmann's logistics operations and its relationship with Amazon.
Monday to Friday, 08:00–16:00, with flexibility required during peak periods.
Pay is stated as £29,700 depending on skills and experience; no pay cadence is specified.
Key responsibilities
- Perform data entry, data retrieval, database maintenance, and compile regular operational reports.
- Support management of the relationship between Bleckmann and Amazon and help maintain a strong long-term partnership.
- Monitor and analyze site KPIs, identify performance issues, and escalate breaches to relevant stakeholders.
- Prepare Weekly Business Review reports and support Monthly and Quarterly Business Reviews.
- Manage client expectations and maintain exceptional customer service.
- Work with site management to improve stock accuracy and service levels and deliver client-focused projects, including full physical stock counts.
- Liaise with warehouse management to prepare for volume fluctuations, promotions, peak trading periods, and other client-driven changes.
- Lead and deliver continuous improvement initiatives to enhance efficiency, quality, productivity, and capacity.
- Support the operation and undertake additional duties that advance site and business objectives.
Skills and experience required
- At least 2 years of administrative experience in a logistics, warehousing, or supply chain environment.
- Strong analytical and problem-solving skills, including interpreting operational data and trends.
- Excellent verbal and written communication skills and confidence engaging stakeholders at all levels.
- Experience monitoring KPIs and supporting continuous improvement initiatives.
- Advanced Microsoft Excel skills, including reporting, data analysis, and manipulation of large datasets.
- Ability to learn and develop expert-level knowledge of Warehouse Management Systems (WMS).
- Strong organizational skills, ability to manage multiple priorities in a fast-paced environment, and high attention to detail.
Benefits
- 33 days of annual leave, inclusive of bank holidays; life insurance; and a competitive pension scheme.
- Retail and other discounts, health and wellbeing initiatives, social events, client discounts, and on-site parking.
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