Ben Sharkey Email & Phone Number

Experience leading a range of reporting, automation, analytics and data product initiatives, that have contributed insights, automation efficiencies, and revenue generation, across a number of well known Australian technology companies.Passionate about leveraging data to create tangible business outcomes utilising modern tools and practices. My personal philosophy to approaching analytics is to provide the key link between the business and technology, by having a deep understanding of the businesses most fundamental challenges and needs, and strategically implementing technology solutions within the context of the organisation.10+ years background across the ‘full stack’ of analytics capabilities, including:* Business Analysis - working closely with business stakeholders to understand needs, gather requirements, solution design, documentation.* Data Engineering - data warehousing, building an open sourced data lake, building ETL pipelines, building API data products, AWS cloud practitioner certified.* Software Engineering - Git, devops, CICD, extensive experience with Azure Devops, Github, VSCode, working with Python.* Analytics Engineering - implementing data modelling techniques, data governance, automated testing - certified dbt developer. Advanced SQL skills. Passionate about ‘the modern data stack’.* Data Analysis - exploratory analysis, statistical analysis, descriptive, diagnostic, and predictive methods.* Data Visualisation - visualisation best practices and techniques. Dashboard templating. Experience with Power BI & Tableau.* Agile - Leading agile squads, SAFe Agile certified Product Owner.Key competencies include:* Stakeholder Management - working closely with business stakeholders to understand their business and how reporting/automation/analytics can support them. Develop solutions, monitor and maintain, measure impact, maximise uptake and adoption.* Product Ownership & Product Management - outlining new projects and initiatives, assessing viability of initiatives.* Data Strategy - cloud based, centralised + decentralised approaches, building roadmaps, assessing adoption of tools.* Data Governance - access, handling sensitive data, documentation, stewardship, lineage, visibility, observability.* Team Leadership - leading cross functional teams, Agile practices guiding product development, focus on delivering incremental value. Foster a collaborative and innovative culture that encourages continuous learning, skill development, and knowledge sharing.

Listed skills include Project Estimation, Sap, Contract Management, Construction Management, and 21 others.