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.