Senior Data Analyst (Power BI) (CPT)

SUMMARY:
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POSITION INFO:
ENVIRONMENT: DRIVE data-led decision-making, focusing on delivering strategic insight, improving data maturity, and influencing key business outcomes as the next Senior Data Analyst sought by a thriving Managed Service Provider. You will translate complex data into actionable insights, playing a key role in shaping how data is used across the business, improving performance visibility, and enabling smarter, faster decisions. This is a hands-on yet strategic role, ideal for someone who combines strong technical expertise with business acumen and the ability to lead initiatives and mentor others. You will also require 5+ years of experience in Data Analytics or a related role including advanced experience in Data Visualisation tools such as Power BI (preferred), Tableau, or similar platforms & strong proficiency in T-SQL and\/or Python, Microsoft Fabric and Azure.   DUTIES: Data Strategy & Ownership - Take ownership of key data domains, contributing to the development of data models, standards, and best practices to support scalable analytics across the business.   Advanced Data Analysis - Apply advanced analytical techniques to uncover trends, patterns, and opportunities, proactively identifying insights that drive operational and commercial performance.   Reporting & Visualisation Leadership - Design, develop, and optimise Power BI dashboards within the Microsoft Fabric framework, ensuring reporting is scalable, user-focused, and aligned to business priorities.   Technical Expertise (T-SQL & Python) - Lead the development of complex T-SQL queries and Python-based data solutions to support advanced analytics, automation, and efficient data processing.   Stakeholder Engagement & Influence - Partner with senior stakeholders to understand business challenges, translate requirements into analytical solutions, and influence decision-making through data storytelling.   Mentorship & Collaboration - Provide guidance and mentorship to Junior Analysts, promoting best practices in analytics, data modelling, and reporting.   Process Improvement & Automation - Identify opportunities to streamline data workflows, automate reporting processes, and improve data quality and governance across systems.   Data Quality & Governance - Champion data accuracy, consistency, and integrity, establishing frameworks to improve trust and reliability in business data.   Insight Communication - Present complex findings clearly to both technical and non-technical audiences, including senior leadership, driving understanding and action.   Advanced Excel & Analytical Tools - Leverage Advanced Excel capabilities and analytical tools where appropriate to support deep-dive analysis and rapid insight generation.   REQUIREMENTS: 5+ Years of experience in Data Analytics or a related role. Advanced experience in Data Visualisation tools such as Power BI (preferred), Tableau, or similar platforms. Strong proficiency in T-SQL and\/or Python for data extraction, transformation, and analysis. Experience working with modern data platforms (e.g., Microsoft Fabric, Azure, or similar environments). Demonstrated experience in building and maintaining scalable reporting solutions. Strong analytical, problem-solving, and critical thinking skills. Experience engaging with senior stakeholders and translating business needs into analytical solutions. Advanced Microsoft Excel skills, including complex formulas, pivot tables, and automation techniques. Strong organisational skills with ability to manage multiple priorities and deadlines.   Nice-to-haves – Experience mentoring or leading Junior Analysts. Knowledge of Data Governance, Data Modelling, and Data Architecture principles. Experience in Construction, Plant Hire, Logistics, or Asset-heavy industries.   ATTRIBUTES: A strong passion for data, with the ability to connect analytics to real business impact. Proven ability to lead analytical initiatives and influence stakeholders at all levels. A proactive mindset with confidence to challenge assumptions and propose improvements. Strong attention to detail combined with a strategic perspective. Excellent communication and data storytelling skills. A collaborative approach with experience working across cross-functional teams.