About the position
Leverage data to unlock customer insights and drive strategic business decisions in a leading consulting environment. Is this you? What you'll be doing Where you'll be doing it What you'll need What you'll get
You're an analytical thinker who thrives on solving complex problems and transforming raw data into meaningful insights. Detail-oriented, proactive, and passionate about enabling data-driven decisions, you enjoy working across business and technical teams to deliver impactful solutions. You're a strong communicator, natural collaborator, and always keen to innovate, learn, and lead.
As a Data Modeller, you'll work with diverse data sources, cleaning, transforming, and modelling data to support customer insights initiatives. You'll bridge the gap between business requirements and technical solutions, advising on solution designs and ensuring high-quality data outputs. Your role will involve creating and optimising data models, designing customer segmentation strategies, and contributing to product segmentation aligned with customer behaviours. You'll collaborate with stakeholders, mentor team members, and help unlock new features to enhance customer insights, all while working within Agile frameworks.
You'll join a pioneering data insights team within a dynamic retail technology environment, committed to delivering real-time, actionable insights. The company fosters a collaborative culture where innovation, continuous improvement, and knowledge-sharing are valued, offering opportunities to work on meaningful projects that directly impact business strategy.
You'll bring experience in data modelling, data analysis, and customer insights, with proficiency in Python, Java, Hive, Apache Spark, and SQL. Hands-on experience with Azure Virtual Machines (Linux and Windows), ETL processes, and BI tools and AWS knowledge is key. A relevant degree in Physics, Computer Science, or a related field is essential, along with strong communication, stakeholder management, and coaching skills. Certification in SAFe methodologies will be an advantage.
A competitive salary, opportunities to work with cutting-edge technologies, and the chance to drive data initiatives in a fast-paced, supportive environment. You'll benefit from professional growth opportunities and the ability to influence how customer insights shape business decisions.
Desired Skills:
- Data modelling
- Data analysis
- customer insights
- Python
- Java
- Hive
- Apache Stark
- SQL
- AWS
Desired Work Experience:
- 5 to 10 years
Desired Qualification Level:
- Degree