Insights Tech Lead: AI-Driven Analytics & Automation

Reward

England

Hybrid

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Flexible working options (hybrid)
Pension contributions
Generous holiday
Life insurance
Wellbeing discounts

Job summary

Reward is seeking an Insights Tech Lead to drive analytical product development and automation across Insight Solutions. You will own the end-to-end delivery of high-impact data products, collaborating with Engineering and Data Product teams to scale capabilities and enable fast decision-making.

The role combines deep engineering with business acumen to accelerate innovation, standardise processes and deliver best-in-class client insights at scale.

Qualifications

  • Significant experience in Analytics/Engineering, BI, or software engineering.
  • Proven ability to deliver enterprise analytics and automation solutions.
  • Experience turning ideas into validated, adopted proof-of-concepts.

Responsibilities

  • Identify opportunities to enhance Reward's analytics through automation and scalable products.
  • Design and validate proof-of-concept data products for business challenges.
  • Prototype using cloud tech and AI tooling for rapid value delivery.
  • Collaborate with Insight Solutions, Engineering and Data Product teams.
  • Promote AI adoption and engineering best practices across teams.

Skills

Python development
Advanced SQL
Power BI development
Data modeling
CI/CD practices
Cloud platforms (AWS/GCP)
REST APIs
AI/ML knowledge
Agile methods
Mentoring

Education

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

Docker
AWS
GCP
Data warehousing
Power BI Service

Job description

Reward is seeking an Insights Tech Lead to drive analytical product development and automation across Insight Solutions. You will own the end-to-end delivery of high-impact data products, collaborating with Engineering and Data Product teams to scale capabilities and enable fast decision-making.

The role combines deep engineering with business acumen to accelerate innovation, standardise processes and deliver best-in-class client insights at scale.

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