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Operations Data Analyst - Global Logistics

Datatech Analytics

Camden Town

On-site

GBP 40,000 - 60,000

Full time

Today
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Job summary

A leading logistics organization in Camden Town is seeking a highly motivated Operations Data Analyst to enhance baggage handling systems and streamline airport operations. The ideal candidate will have a Bachelor's degree, experience in data analysis, and knowledge of programming languages like SQL and Python. Familiarity with Power Platform tools is a plus. This role offers the opportunity to work with cutting-edge technologies and contribute to optimizing business performance.

Qualifications

  • Proven experience in data analysis, business intelligence, or operations analysis.
  • Knowledge of the aviation or transportation industry beneficial but not essential.
  • Familiarity with database querying, data manipulation, and data cleaning techniques.

Responsibilities

  • Collaborate closely with Data Engineers and Power Platform Developers.
  • Drive operational efficiency and streamline processes.
  • Enhance the efficiency of baggage handling systems.

Skills

Data analysis
Strong analytical skills
SQL
Python
R
Power Platform tools

Education

Bachelor's degree in a related field
Master's degree
Job description

A market leading global logistics organisation seeks a highly motivated and detail-oriented Operations Data Analyst to join their dynamic team based at Heathrow Airport. In this role, you will collaborate closely with Data Engineers and Power Platform Developers to drive operational efficiency, streamline processes, and optimize business performance. As a Business Operations Analyst, you will have the opportunity to work with cutting-edge technologies and contribute to the seamless functioning of airport operations worldwide. As an Operations Data Analyst, you will play a pivotal role in enhancing the efficiency of baggage handling systems, ensuring smooth and seamless travel experiences for millions of passengers and contribute to the success of our client's mission to revolutionise airport logistics.

  • Bachelor's degree in a related field. A master's degree is a plus.
  • Proven experience in data analysis, business intelligence, or operations analysis.
  • Knowledge of the aviation or transportation industry beneficial but not essential.
  • Strong analytical skills with the ability to work with complex datasets and identify patterns and trends, contributing to data-driven decision-making.
  • Knowledge of SQL, data modelling, and database management systems, facilitating effective data extraction and analysis.
  • Proficiency in programming languages like Python, R, or SQL is important for data analysis.
  • Familiarity with database querying, data manipulation, and data cleaning techniques is also beneficial.
  • Familiarity with Power Platform tools, such as Power Apps and Power Automate, is desirable, enhancing automation capabilities.
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