senior analyst

Job Summary

• Work with business clients and ProcureAbility advisory teams to understand the analytical objectives for each project and secure the data necessary to achieve those objectives
• Deliver spend analytics and procurement data solutions to clients directly and as a part of a larger procurement advisory engagement:
• Act as a procurement data subject matter expert in client and advisory discussions
• Gather internal and external client requirements
• Work directly with clients and advisory teams to collect data
• Assess data scope and validity for spend analytics / PureSpend
• Perform project management for the analytics projects (timelines, risks, resources, etc.)
• Perform data cleansing and enrichment – data transformation, loading, and manipulation, supplier normalization, categorization to procurement taxonomy
• Identify and implement process improvements / automation
• Support development and maintenance of data visualization / dashboards for client PureSpend instances and other digital modules
• Conduct user training
• Work closely with business stakeholders and consulting / delivery teams to understand reporting and analytics objectives and translate them into high-quality dashboards and visual insights
• Design, develop and maintain interactive dashboards and reports using Power BI to support business, operational and performance decision-making
• Develop and optimise complex SQL queries, views and data models to support analytics, reporting and visualization requirements
• Partner with data engineering and source system teams to ensure accurate, reliable and timely data availability for reporting
• Perform data validation, reconciliation and quality checks to ensure accuracy and consistency of dashboards and reports
• Design and maintain semantic models and datasets to enable self-service analytics for business users
• Create standardized reporting templates, KPI definitions and visualization best practices to ensure consistency across reports
• Support business users with ad-hoc analyses, data exploration and insight generation
• Identify opportunities to improve reporting efficiency through automation, reusable data models and optimized queries
• Contribute to documentation of data definitions, report logic and visualization standards
• Support user training and enablement on dashboards and self-service reporting capabilities
• Collaborate with product, analytics and digital teams to support enhancements to reporting and analytics platforms
• Support client and internal presentations, demonstrations and storytelling using data and visual insights
  
  

Education & Experience

Typically requires a 5 -8 years of experience.

Typically College or university degree required

• Strong experience in data visualization and business intelligence roles with a focus on dashboarding and reporting
• Hands-on expertise in Power BI, including data modeling, DAX, report development and performance optimization
• Strong working knowledge of SQL, including writing complex queries, joins, aggregations, window functions and performance tuning
• Solid understanding of data modeling concepts (star schema, fact and dimension tables, semantic layers)
• Experience working with large, multi-source datasets and enterprise data platforms
• Ability to translate business requirements into effective and intuitive visualizations and KPIs
• Strong understanding of data quality, validation and reconciliation practices
• Experience working with business, consulting and technical stakeholders to gather and refine reporting requirements
• Strong attention to detail and commitment to data accuracy and visual quality
• Excellent communication and presentation skills, with the ability to explain insights clearly to non-technical audiences
• Strong organisational skills and ability to manage multiple reporting and dashboard requests in parallel
• Experience in procurement, supply chain, finance or operations analytics is a strong plus
• Exposure to cloud data platforms (Azure, Snowflake, BigQuery, etc.) and ETL / data pipelines is a plus
• Knowledge of Python or advanced analytics tools is a plus
  
  

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