This SaaS company is a global leader in connected retail and immersive shopping technology, the company empowers brands and retailers to engage customers through interactive experiences that deliver measurable results. Its flagship product integrates AI, conversational intelligence, and rich media to revolutionize how shoppers discover, explore, and purchase products online.
About the Role
The company seeks an experienced Data Analytics Engineer for a short-term contract to design and build a scalable reporting and automation layer for their platform. The role involves creating a ClickHouse-powered, Metabase-visualized dashboard system for brands, retailers, and internal teams.
The engineer will own the full data framework—dashboards, AI-driven feedback loops, and automated reporting triggers—delivering real-time insights and alerts. Working closely with Product, Tech, and Leadership, they will ensure all outputs are production-ready, scalable, and aligned with the platform’s rollout roadmap.
Responsibilities
Owns the architecture, setup, and delivery of a complete dashboard ecosystem in Metabase, integrated with ClickHouse.
Develops scalable reporting layers for brands, retailers, and internal teams, covering engagement, performance, and conversion metrics.
Builds automated insight layers, including AI-driven feedback loops for talktime alerts, content gap analysis, and automated reporting triggers.
Collaborates with engineering teams to integrate data events from the Sales Ambassador platform and related tools.
Defines best practices for layout, filtering, and data visualization across multi-tenant dashboards.
Translates product KPIs and campaign metrics into actionable insights for stakeholders.
Designs dashboards and data models for long-term scalability across retailers, campaigns, and data sources.
Implements secure and scalable access models for internal and external users.
Delivers weekly progress updates and iteration reviews to the Product Director and key stakeholders.
Requirements
Proven experience building Metabase dashboards connected to ClickHouse or similar high-performance data stores
Strong proficiency in SQL, data modelling, and visualisation design
Advanced proficiency in Python
Experienced in designing automated data insight pipelines and AI-driven reporting systems
Familiar with AI product ecosystems, including GPT-based tools, conversation data, and transcript analysis
Comfortable collaborating with both technical and non-technical stakeholders to define data stories and outcomes
Deep understanding of data visualisation best practices, dashboard structure, and metric storytelling
Self-sufficient, delivery-focused, and able to work independently with regular check-ins and collaborative review cycles
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