Data Analyst at Pax2Pay – Bristol, England, United Kingdom

Job Description

About Us

Pax2Pay is a dynamic and growing company specialising in virtual card issuing solutions for travel businesses. We offer secure, scalable, and efficient payment solutions tailored to meet the needs of our global clientele. As a part of our team, you’ll be contributing to a business at the forefront of innovation in the financial technology space.

The Role 

As a Data Analyst at Pax2Pay, you’ll be at the heart of our data-driven decision-making process. You’ll work with large, complex datasets to uncover valuable insights that drive business growth and innovation.

Responsibilities

• Data Analysis & Engineering: Analyse complex datasets to identify trends and insights, ensuring data integrity, accessibility, and quality through effective data pipelines. Develop and maintain SQL queries in BigQuery for multi-source data integration.
• Data Visualization & Reporting: Create and maintain dashboards, charts, and visualisations that effectively communicate insights to support data-driven decision-making. Prepare regular reports for stakeholders.
• Collaboration & Problem Solving: Work closely with cross-functional teams to understand business needs and translate them into actionable data solutions. Support evolving commercial terms by ensuring accurate customer setups and logical condition coding.
• Process Automation & Improvement: Automate and enhance business processes through analytical solutions, including experimentation with statistical and machine learning techniques for forecasting and predictive analytics.
• Quality Control & Data Governance: Conduct data quality checks, including cleansing, auditing, and validation, to maintain high standards across all data projects within Pax2pay.

Technical Skills

• SQL: PostgreSQL and BigQuery dialects.
• Data Engineering: Experience with data engineering concepts, including ETL processes, data pipelines, and data warehousing.
• Programming: Knowledge of at least one programming language (Python or R) and relevant libraries (Pandas, NumPy, SciPy, Matplotlib).
• Data Visualisation: Ability to create clear and informative visualisations using tools like Tableau, Power BI, or Python libraries.

Non-Technical Skills

• Analytical Thinking: Strong analytical and problem-solving skills.
• Business Acumen: Understanding of business processes and the ability to translate business needs into data solutions.
• Communication Skills: Effective communication skills to convey complex technical concepts to non-technical audiences.
• Attention to Detail: Meticulous attention to detail to ensure data accuracy and consistency.