Data Analyst

Data Analyst – Power BI, Azure, and Python London - Hybrid Working £45-55,000 Are you passionate about data and ready to create meaningful impact on project controls projects. We are seeking a Data Analyst specialising in Power BI, Azure, and Python to join our team. This role offers great collaboration with innovative teams on cutting-edge data solutions. What You’ll Do:

• Design & Build Dashboards: Create dynamic and insightful reports and dashboards in Power BI to empower decision-making.
• Leverage Azure Services: Use tools like Azure or seamless data integration and transformation.
• Optimise with Python: Write and optimize Python scripts for data preprocessing, advanced analytics, and workflow automation.
• Maintain Data Pipelines: Build and maintain efficient ETL pipelines to ensure uninterrupted data availability.
• Uncover Insights: Perform statistical and predictive analysis to reveal trends patterns, and actionable insights.
• Collaborate with Stakeholders: Engage with diverse teams to gather requirements and deliver tailored data solutions.
• Ensure Data Integrity: Maintain high standards of data accuracy, integrity, and compliance with security protocols.

What You’ll Bring:

• Technical Mastery: Proficiency in Power BI (DAX, Power Query), Azure analytics services, and Python for scripting and automation.
• Data Expertise: Strong knowledge of SQL and data modeling for effective database management.
• Problem-Solving Skills: Analytical mindset to tackle complex challenges and present clear solutions.
• Communication Skills: Ability to articulate complex insights to both technical and non-technical audiences.

Why Join Us? Be part of a forward-thinking team that values creativity, innovation, and collaboration. This is your chance to work on exciting projects, using cutting-edge technology to make a real difference. Apply Today To learn more or to apply. PACE is committed to being an Equal Opportunity Employer and Disability Confident Committed. We welcome applications from all backgrounds and celebrate diversity, fostering an inclusive culture where everyone’s unique strengths and perspectives thrive. Let’s shape the future of data analytics together!