Junior Data Analyst

Data Analyst - 6 month contract - North London Based

My global client is currently looking for a Data Analyst to join their Supply Chain Analytics team. This role will report into the Logistics Manager - Supply Chain Analytics - you will primary be responsible for working on day to day data analysis, building datasets, and a strategic project to replace existing manual Excel reports with automated database sourced Power BI dashboards.

Some of your responsibilities will be to:

• Identify manual data inputs and map them to appropriate fields in new or existing databases
• Collaborate with data engineers and/or IT to establish data pipelines that replace manual data sources.
• Rebuild reports using automated connections (eg, Python, Excel Power Query, Power BI, Power Automate) linked to centralized data sources.
• Ensure data integrity, accuracy, and consistency across all reports during and after migration.
• Build and maintain automated dashboards and reports to support the day-to-day logistics operation.

In order to be successful you will have:

• Demonstrable ability to interpret data to provide clear, meaningful, and practical insights to non-technical business partners
• Proven skill set in SQL, Python, Excel. Visual Basic, Microsoft Access required. Power BI & Power Automate preferred
• Solid understanding of relational databases and SQL for querying and data validation.
• Experience mapping data fields from various manual sources into structured data models.
• Ability to reverse-engineer business logic from Excel reports.

If this role is the right one for you apply NOW for immediate consideration.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

• Demonstrable ability to interpret data to provide clear, meaningful, and practical insights to non-technical business partners
• Proven skill set in SQL, Python, Excel. Visual Basic, Microsoft Access required. Power BI & Power Automate preferred
• Solid understanding of relational databases and SQL for querying and data validation.
• Experience mapping data fields from various manual sources into structured data models.
• Ability to reverse-engineer business logic from Excel reports.