Business Data Analyst

Randstad Technologies Recruitment; Greater London; Hybrid; GBP 44,000 - 59,000; Full time

Job summary

Randstad Technologies Recruitment in the United Kingdom is seeking a Data Analyst to join the Customer Success Data Science team in Victoria, with a hybrid schedule (two days in the office per week). The role focuses on building core data capabilities, automating insights, and tackling analytics gaps across non-US global markets.

This position offers the opportunity to work with Generative AI and automation to streamline data pipelines, uncover operational trends, and improve customer experience

Qualifications

• Minimum 5+ years of hands-on experience in Data Analytics or Data Science.
• An enthusiasm for AI technologies with Gen AI & LLMs to accelerate analytics workflows.
• Ability to bridge technical analytics with commercial strategy to frame insights clearly.
• Comfortable managing multiple projects in a fast-paced environment with minimal supervision.

Responsibilities

• Collaborate with engineering teams to develop robust SQL pipelines, improve data integrity, and establish clear metric definitions built for downstream AI consumption.
• Create, maintain, and scale user-friendly dashboards (Tableau, Qlik, or similar) to map end-to-end customer journeys and measure performance outcomes.
• Conduct root-cause analysis and evaluations to uncover drivers behind customer pain points, adoption challenges, and efficiency gaps.
• Apply Gen AI tools and LLMs to automate recurring reporting, streamline insight generation, and eliminate manual workflows with a data-driven mindset.
• Measure performance outcomes for digital experiences and AI-assisted support through A/B testing, statistical evaluation, and baseline monitoring.
• Translate complex data findings into clear, persuasive narratives for both technical and non-technical stakeholders to influence business strategy.

Skills

Analytical thinking

Communication

Business acumen

Project management

Tools

SQL

Tableau

Qlik

Python

R

Snowflake

Databricks

Spark

Job description

Job title: Data Analyst - Customer Success

Location: Victoria (Hybrid - 2 days in office per week)

Duration: 10 months

Day Rate: 280 per day

About the role

We are looking for a highly motivated, self-driven Data Analyst to join a global Customer Success Data Science team based out of central Victoria. In this role, you will play a pivotal role in building core data capabilities, automating insights, and tackling analytics gaps across non-US global markets.

This is an opportunity to join a forward-thinking team that is actively embedding AI into its core workflows. Beyond standard reporting, you will leverage Generative AI and automation to streamline data pipelines, uncover operational trends, and improve customer experience, digital adoption, and service delivery across international regions.

Key Responsibilities

• Collaborate with engineering teams to develop robust SQL pipelines, improve data integrity, and establish clear metric definitions built for downstream AI consumption.
• Create, maintain, and scale user-friendly dashboards (Tableau, Qlik, or similar) to map end-to-end customer journeys and measure performance outcomes.
• Conduct root-cause analysis and evaluations to uncover the drivers behind customer pain points, digital adoption challenges, and operational efficiency gaps.
• Apply Gen AI tools and LLMs to automate recurring reporting, streamline insight generation, and eliminate manual workflows with a critical, data-interrogating mindset.
• Measure performance outcomes for digital experiences and AI-assisted support through A/B testing, statistical evaluation, and baseline monitoring.
• Translate complex data findings into clear, persuasive narratives for both technical and non-technical stakeholders to influence business strategy.

Technical Toolkit:

• Expert proficiency in SQL for data extraction, transformation, and pipeline development.
• Strong proficiency with modern dashboarding/visualization tools (e.g., Tableau, Qlik).
• Knowledge of Python or R for advanced analytics and automation is highly desirable.
• Familiarity with cloud/big data platforms (Snowflake, Databricks, Spark) is preferred.

Key Requirements

• Minimum 5+ years of hands-on experience in Data Analytics or Data Science (experience within Customer Success, Operations, or Digital Experience domains is a strong advantage).
• A genuine enthusiasm for AI technologies paired with practical curiosity about how Gen AI and LLMs can accelerate analytics workflows. Crucially, you possess strong critical thinking skills to interrogate and validate AI outputs for accuracy.
• Demonstrated ability to bridge technical analytics with commercial strategy, framing insights in a clear and actionable way.
• Comfortable managing multiple projects in a fast-paced environment with minimal supervision.