Data & Analytics Lead

OverviewStanmoreis a progressive leader in the coal mining industry, dedicated to technological innovation, sustainability, and operational excellence.
As part of our digital transformation journey, we are seeking a dynamic, hands-on Data & Analytics Lead to take full ownership of our data platform, analytics, and reporting landscape.This is a unique opportunity to combine technical expertise (building pipelines, models, and dashboards) with leadership of outsourced teams and close collaboration with the business and driving real impact from data across the organisation.As Data & Analytics Lead, reporting to our Enterprise Systems Manager, your Responsibilities will include:Build and maintain data pipelines using Azure Data Factory, Synapse, Data Lake, and Fabric.Develop dashboards and reports in Power BI – from raw data modelling to business-ready insights.Write efficient SQL and Python code for transformations, analysis, and automation.Deliver rapid prototypes and MVPs that show early value, with a pathway to scale.Apply data science techniques pragmatically (e.g., anomaly detection, predictive modelling) where they add business value.LeadershipOperational ownership of the data environment, ensuring stability, performance, and security.Own the data platform backlog and ensure priorities are delivered on time.Lead and manage the outsourced data engineering/vendor team, providing direction, setting standards, and reviewing outputs.Establish and enforce data governance, quality, and lineage processes.Act as the subject-matter lead for data architecture, warehousing, and integrations across SaaS and on-premise systems (e.g. Minestar, SAP, ServiceNow, and other enterprise platforms).
Ensure alignment of data initiatives with enterprise architecture and data governance standards.Business EngagementWork with stakeholders to identify, frame, and prioritise use cases aligned to business goals.Translate technical outputs into clear business outcomes (ROI, cost reduction, operational efficiency).
Build credibility with senior leaders by communicating insights and progress effectively.To be a success it is expected you will have:Strong technical background in the Azure Data Platform (ADF, Synapse, Data Lake, Fabric, Databricks desirable).
Very strong data warehouse experience (cloud & on-premise)Proficient in Power BI, capable of independently delivering comprehensive reporting solutions.Efficient in data modelling, data analysis and data profilingAdvanced SQL and Python.Strong track record in data platform leadership, owning a backlog, prioritising, and delivering through a combination of hands-on work and vendor management.Proven track record of leading outsourced/offshore teams or small internal teams.Demonstrated ability to deliver tangible outputs quickly, not just long-term projects.Hands-on: doesn't just delegate, can deliver independently when needed.Ability to bridge strategy and execution: translating business needs into technical delivery without losing focus on outcomes.Proven experience with data governance, metadata management, and lifecycle processes.Excellent stakeholder engagement – able to work with both technical teams and business leaders.Experience8+ years of experience in data engineering, architecture, or a similar role, preferably in the mining or heavy industry sector.Proven track record of deploying data solutions in large-scale industrial settings.Exposure to AI/ML tools and applied analytics use casesKnowledge of SAP data structures and reporting.Soft SkillsStrong analytical and problem-solving skills.Excellent communication skills with the ability to convey technical concepts to non-technical audiences.Leadership and collaboration skills to manage multi-disciplinary teams.EducationBachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field.If this sounds like you, apply today
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