Senior Data Analyst

Global Accounting Network; London; On-site; GBP 35,000 - 55,000; Full time

Job summary

A leading company in the travel/tech sector is seeking an Analyst in London. This role involves data and financial analysis to influence payment operations, requiring strong analytical skills and proficiency in tools like SQL and Python. The Analyst will partner with various stakeholders to provide insights that drive strategic decisions and optimize processes.

Qualifications

• Bachelor's degree in relevant field required.
• Advanced knowledge of SQL, Python, and R.
• Experience with large data sets and financial modelling.

Responsibilities

• Analyze large payment data sets to identify trends.
• Provide actionable insights for strategic decision-making.
• Develop reports and dashboards to communicate findings.

Skills

Data analysis

Financial modelling

Analytical skills

Problem-solving

Communication

Education

Bachelor's degree in Finance, Accounting, Economics, or a related field

Tools

SQL

Python

R

Job description

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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.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Strategy/Planning, Finance, and Analyst

• Industries

  Travel Arrangements and Technology, Information and Media

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