Data & Analytics Lead – BizOps

Overview

Lead building data platform, analytics, and automation for Asseti's BizOps.

Key Responsibilities

• monitoring
• data pipelines
• power bi
• ai prototyping
• automation
• data modeling

Tasks

You'll improve reliability and visibility by implementing monitoring, logging, and data quality checks that build trust in our data and systems. And you'll experiment with AI and automation agents to unlock smarter operations - prototyping tools that can query data, summarise insights, trigger actions, and help teams work faster and more intelligently. You'll own our internal data platform and operational analytics - becoming the central architect of how Asseti collects, models, and activates data across the business. You'll distribute insights through Power BI dashboards and other channels, ensuring stakeholders across the company have accurate, self-serve access to the metrics and context they need. Beyond reporting, you'll automate workflows across systems and teams - integrating APIs, building event-driven processes, and removing manual bottlenecks that slow us down. This role is about building the intelligence layer that powers Asseti's growth - connecting the dots across the business and turning data into competitive advantage. You will design and maintain robust data pipelines that bring together information from AWS, GCP, and third-party sources like Fivetran into BigQuery. You'll model this data into clean, well-documented schemas that serve as the foundation for analytics, automation, and decision-making across all teams. -Implement monitoring, logging, and data quality checks to build trust and performance -Evolve our architecture and governance as we scale, including evaluation of tools like dbt and observability -Distribute insights via Power BI and other channels to enable accurate self‑serve access across teams -Build and maintain data pipelines from AWS, GCP, and third‑party sources (e.g., Fivetran) into BigQuery -Prototype internal AI or automation agents that query data, summarise insights, or trigger actions -Automate operations by integrating systems, APIs, and event‑driven workflows to remove manual work -Model and organise data into clear, well‑documented tables and views for analytics and automation

Requirements

• power bi
• python
• sql
• bigquery
• dbt
• ai/llm

What You Bring

We turn complex, fragmented asset information into a single source of truth - combining real-time condition insights with the operational context needed to prioritise work, manage risk, and drive efficient action across large property networks. Experience with AI/LLM automation, data observability, or dbt -Proficiency with Power BI or other BI tools -Familiarity with Fivetran, Python, APIs, or workflow automation tools -Strong SQL and data modelling experience (BigQuery or similar) -Experience integrating data from cloud sources -3–6 years in data engineering, analytics engineering, or BizOps

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