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Senior Data Analyst

Global Accounting Network
London
1 month ago
Applications closed

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Senior Data Analyst

Senior Data Analyst

Global Accounting Network are partnering with this high growth travel/tech client based in London on the search for their new Analyst. The role is broad covering data analysis, financial analysis, business partnering, insight and sits in a highly strategic area of the business (payments). You will have the opportunity to influence the future of payments operations by providing data driven insights and recommendations.


The Role -

  • Business Partnering Product and Engineering functions responsible for Payments, as well as a multitude of internal and external stakeholders.
  • Responsible for analysing large and complex payment data sets from various sources to identify trends, patterns, and opportunities for optimisation.
  • Provide valuable insights and recommendations that drive KPI improvements and support strategic decision-making.
  • Gather, clean, and analyse large and complex payment data sets from diverse sources..
  • Identify trends, patterns, and anomalies within the data to uncover insights.
  • Utilise advanced data analysis techniques (e.g., statistical modelling, machine learning) to extract meaningful information.
  • Develop comprehensive reports, dashboards and visualisations to communicate findings to stakeholders.
  • Provide detailed analysis including creation of financial models to support strategic and operational decision making.
  • Provide actionable recommendations based on data-driven insights to improve payment processes, reduce costs and increase revenue.
  • Identify opportunities for process automation, fraud prevention, and risk mitigation.


The Person -

  • Bachelor's degree in Finance, Accounting, Economics, or a related field.
  • Advanced knowledge of data analysis tools (e.g., SQL, Python, R).
  • Strong analytical and problem-solving skills.
  • Proficient in financial modelling, budgeting and forecasting.
  • Experience working with large and complex data sets.
  • Excellent communication and interpersonal skills.
  • Ability to translate technical findings into clear and actionable recommendations.
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