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As a Data Analyst within the data team, your mission is to support logistics operations by turning business needs into actionable insights. Working closely with Qlik Developers, you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations.

You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions, process optimization, and operational visibility.

Key Responsibilities

• Business & Data Alignment: Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics.
• Data Exploration: Identify relevant data from Snowflake and conduct exploratory analysis to support business insights.
• Data Modeling: Build and maintain scalable, accurate data models that reflect logistics and operational needs.
• Dashboard Collaboration: Work with Qlik Developers to co-design and validate dashboards that meet business expectations.
• Data Quality: Ensure data consistency, accuracy, and completeness; support validation and UAT.
• Documentation & Knowledge Sharing: Maintain documentation of data models and metric definitions.
• Continuous Improvement: Stay up to date with Snowflake features, data best practices, and logistics trends.
• Cross-functional Collaboration: Partner with data engineers, developers, and business teams for seamless data integration and delivery.

Required Skills

• Strong experience in data analysis, business alignment, and KPI validation
• Proficiency with Snowflake, SQL, ETL, and data modeling
• Experience with Qlik Sense or similar BI tools
• Solid understanding of data visualization, UX, and dashboard design
• Analytical and problem-solving mindset
• Good communication skills and ability to work with technical/non-technical teams
• Awareness of data security and compliance best practices

Profile

• Education: Bachelor’s degree in IT, computer science, or related field
• Experience: Minimum 2 years in a Data Analyst role

Seniority : Senior

Mandatory work on site : remote is OK but with option to be on site in Liverpool, Manchester, London on a regular base

Seniority level

• Associate

Employment type

• Contract

Job function

• Supply Chain

Industries

• Boilers, Tanks, and Shipping Container Manufacturing and Digital Accessibility Services

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