Quik Hire Staffing
Senior Analyst – Logistics Intelligence

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Role: Senior Analyst – Logistics Intelligence
Employment Type: Full-Time
Location: London, United Kingdom
Work Model: Hybrid
Compensation: £65,000 – £85,000 per year + Bonus & Benefits
About the Role
On behalf of our client—a leading global online delivery and marketplace platform—we are seeking a Senior Analyst – Logistics Intelligence based in London. In this quantitative analytical role, you will leverage big data, spatial analytics, and algorithmic modeling to optimize fulfillment logistics, courier dispatch efficiency, delivery times, and fulfillment economics across the UK and international markets.
Key Responsibilities
- Analyze large-scale spatial, dispatch, and delivery datasets to identify operational bottlenecks and delivery time optimization opportunities.
- Build predictive dispatch models, courier supply-demand forecasting tools, and routing simulation frameworks.
- Develop automated BI dashboards, reporting pipelines, and KPI scorecards in Tableau/Looker to track delivery metrics in real time.
- Partner closely with Logistics Product Managers and Operations Directors to design and evaluate marketplace dispatch experiments.
- Investigate key unit economic drivers including cost per delivery, courier pay structures, and delivery distance thresholds.
- Present analytical insights, operational recommendations, and logistics intelligence directly to regional operational leadership.
- Formulate reproducible analytics workflows and mentor junior business analysts in data extraction and statistical analysis.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Required Skills & Qualifications
- 4+ years of advanced data analytics, logistics optimization, or business intelligence experience within tech, mobility, or supply chain platforms.
- Advanced proficiency in SQL and Python/R for complex data manipulation, statistical analysis, and spatial modeling.
- Extensive experience with data visualization suites (Tableau, PowerBI, Looker) and cloud data warehouses (Snowflake, BigQuery).
- Solid grounding in statistical analysis, hypothesis testing, and operational research methodologies.
- Demonstrated ability to translate intricate data patterns into clear, actionable business strategies.
- Degree in Engineering, Operations Research, Mathematics, Statistics, Data Analytics, or related field.
- Fluent in English.


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What the Role Offers
- Competitive base salary with annual performance bonus.
- Private health insurance, generous pension scheme, and wellness benefits in London.
- Hybrid work flexibility supporting remote focus and London office collaboration.
- Exposure to complex, petabyte-scale logistics datasets powering world-class on-demand delivery.
Equal Opportunity Employer
Our client is an equal opportunity employer committed to fostering an inclusive culture where diversity of thought and experience is celebrated. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected status under applicable European and UK labor laws.
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