Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst

Pax2Pay Ltd
Bristol
11 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Contract Type:Permanent

Location:Hybrid Working policy (3 Days per week minimum)

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.

Benefits

  • Perkbox Benefits - Shopping and discount schemes
  • Cycle to work scheme
  • Gym/fitness subsidy
  • Hybrid working options
  • Regular social activities and events throughout the year

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.