Senior Insight Analyst

Datatech Analytics; Greater London; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

Datatech Analytics is seeking a Senior Insight Analyst in Central London. The role focuses on shaping regional strategy across EMEA by analysing customer needs, behaviours and preferences to drive data-led decisions and growth.

You will lead CRM and personalisation initiatives, manage reporting and forecasting, and collaborate with stakeholders across functions to translate complex data into meaningful insights that enhance customer experience and commercial outcomes.

Qualifications

• 4+ years' experience in customer analytics, business analytics or a related analytical position.
• Strong ability to communicate complex analytical findings clearly to a range of audiences.
• A curious, commercially minded approach with an interest in customer behaviour and driving business performance.
• Experience in fast-moving, collaborative environments with ability to contribute to team development.
• Excellent stakeholder engagement and influencing skills to translate insights into decisions.
• Advanced SQL capability for querying large datasets.
• Proficiency in Python or R for statistical analysis and modeling.
• Familiarity with Databricks, Snowpark or Airflow and BI tools like Power BI/Tableau.
• Experience with digital analytics platforms (Google Analytics, Adobe Analytics) would be beneficial.

Responsibilities

• Data Analysis & Insight Development to inform business strategy and customer engagement.
• End-to-End Project Delivery from problem identification to findings presentation.
• Insight Communication translating data into clear, actionable recommendations.
• Cross-Functional Collaboration with multiple teams to understand goals and challenges.
• Performance Reporting & Visualisation via dashboards and reporting solutions.
• Financial Forecasting & Performance Review supporting quarterly and annual targets.
• Analytics Strategy & Roadmap Development to enhance data capabilities.
• Data Infrastructure & Quality work with data engineering to improve data accessibility.

Skills

Communication

Stakeholder engagement

Commercial awareness

Analytical mindset

SQL

Python or R

Databricks/Snowpark/Airflow

Power BI/Tableau

Google/Adobe Analytics

Tools

Power BI

Tableau

Databricks

Snowpark

Airflow

Google Analytics

Adobe Analytics

Job description

Description

Senior Insight Analyst
Central London - 4 days per week in the office
£45,000 - £60,000 depending on experience
Ref: J13192

A leading lifestyle and performance brand, creating high-quality apparel and products designed to support a wide range of activities, from fitness and running to yoga and everyday movement. Combining innovative product development with a strong focus on customer experience, aiming to inspire people to lead active, balanced lives.

This role sits within a team which help shape the regional strategy across EMEA. The team focuses on understanding customer needs, behaviours and preferences to deliver actionable insights that support customer focused decision making and business growth.

As a Senior Analyst, you will combine analytical expertise with strong commercial awareness to identify the key drivers of customer behaviour, uncover opportunities to improve engagement and loyalty, and influence data-led business strategies.

You will contribute to the development of CRM and personalisation initiatives, lead reporting and forecasting activities, and work closely with stakeholders across multiple functions. Through your analysis, you will help translate complex data into meaningful insights that enhance the customer experience and support wider commercial objectives.

The Role:

• Data Analysis & Insight Development: Use analytical methods and data science techniques to explore customer and marketing data, identifying meaningful trends and opportunities that inform business strategy and improve customer engagement.
• End-to-End Project Delivery: Manage analytical projects from initial problem identification and methodology design through to analysis, recommendation development and presentation of findings to key stakeholders.
• Insight Communication: Turn complex data and analytical findings into clear, engaging insights and practical recommendations that support decision-making across both technical and non-technical teams.
• Cross-Functional Collaboration: Work closely with teams across the business to understand strategic goals, investigate complex commercial challenges and develop analytical approaches that improve understanding of customer behaviour and business performance.
• Performance Reporting & Visualisation: Build and maintain interactive dashboards and reporting solutions that provide visibility of key business metrics, customer engagement and performance trends.
• Financial Forecasting & Performance Review: Support quarterly and annual forecasting processes, monitor results against business targets, and present performance insights to senior stakeholders through regular business review meetings.
• Analytics Strategy & Roadmap Development: Identify opportunities to strengthen analytical capabilities, improve processes and introduce new approaches that maximise the value of data across the organisation
• Data Infrastructure & Quality: Partner with data engineering and wider analytics teams to improve data quality, establish reporting requirements and enhance the accessibility, reliability and usability of customer data across international markets.

Skills & Experience:

• 4+ years' experience in customer analytics, business analytics or a related analytical position, preferably within retail, e-commerce or another consumer-facing environment.
• Strong ability to communicate complex analytical findings in a clear and accessible way, delivering relevant insights and recommendations to a range of audiences.
• A curious, commercially minded approach, with a genuine interest in customer behaviour, identifying trends and uncovering opportunities to drive business performance.
• Experience working in a fast-moving, collaborative environment, with the ability to contribute to team development and continuous improvement.
• Excellent stakeholder engagement and influencing skills, with the confidence to build strong working relationships and turn analytical findings into actionable business decisions.
• Advanced SQL capability, with experience querying and analysing large, complex datasets to generate meaningful insights.
• Proficiency in Python or R for statistical analysis, data modelling and related analytical tasks, using relevant libraries and frameworks such as scikit-learn, Tidyverse or ggplot2.
• Familiarity with modern data platforms and workflow or transformation tools, such as Databricks, Snowpark or Airflow.
• Proven experience developing effective dashboards and visualisations using Power BI, Tableau or comparable business intelligence tools.
• Experience working with digital analytics platforms, such as Google Analytics, Adobe Analytics or similar solutions, would be beneficial.

Candidates must have the right to work in the UK without sponsorship requirements.