Insights Tech Lead

Join Reward as an Insights Tech Lead, where you will be responsible for identifying, designing, and delivering innovative analytical products that enhance the efficiency, scalability, and quality of our insight capability. You will work at the intersection of various teams, rapidly developing proof-of-concept applications and configurable analytical solutions that address real business challenges. Your expertise in engineering and commercial understanding will drive innovation and enable Reward to deliver best-in-class client insights at scale.

• Identifying, designing, and delivering innovative analytical products that improve the efficiency, scalability, and quality of Reward's insight capability.
• Rapidly developing proof-of-concept applications, automation, and configurable analytical solutions that solve real business problems.
• Partnering with Engineering and Data Product teams to transition successful proof-of-concepts into scalable production solutions.
• Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption
• Experience identifying opportunities to improve operational efficiency through technology and automation
• Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering or a similar technical discipline
• Proven experience developing enterprise analytical solutions, automation and reusable technical products
• Experience working across multidisciplinary teams including Insight, Engineering, Product and Commercial functions
• Experience working with AI technologies to accelerate software development and business capability is highly desirable
• Experience with Docker, AWS and/or Google Cloud Platform
• Advanced SQL (Amazon Redshift, T-SQL) and data modelling
• Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial AI platforms (e.g. OpenAI, AWS Bedrock)
• Experience building scalable data products and analytics solutions
• Expert Power BI development, including semantic models and Power BI Service administration
• Expert Python development for data, analytics and automation
• Experience integrating REST APIs and multiple data sources
• Knowledge of traditional machine learning techniques, including tree-based models (e.g. Random Forest, CatBoost), feature engineering techniques such as TF-IDF, and experience evaluating and deploying AI/ML solutions in commercial environments
• Excellent problem-solving, communication and stakeholder management skills
• Strong software engineering practices (OOP, testing, Git, documentation)
• Understanding of modern analytics engineering and scalable solution architecture
• Experience working within agile product or engineering teams
• Passionate about continuous improvement, automation and building scalable solutions
• Naturally curious with a passion for emerging technology and innovation
• Collaborative and approachable, with a desire to enable others through technology
• Commercially minded with a focus on solving real business problems
• Pragmatic, delivery-focused and comfortable working with ambiguity
• Experience developing internal developer tools or self-service analytical products
• Experience with CI/CD pipelines
• Experience with modern JavaScript frameworks such as React
• Passion for evaluating emerging technologies and identifying opportunities to improve Reward's analytical capability
• Experience mentoring technical colleagues and promoting engineering best practices