Senior Procurement Data Analyst

Motorola Solutions
Krakow, PolandPosted 31 March 2026

Tech Stack

Job Description

Company Overview At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview The primary purpose of the data analytics department is to provide valuable insights that enable the organization to optimize its supply chain and procurement operations, improve efficiencies, reduce costs, and ultimately enhance customer satisfaction. This department helps to identify areas for improvement, uncover opportunities for growth, and make data-driven recommendations that support the organization's goals and objectives. Additionally, the data analytics department plays a key role in shaping the data culture of the organization, promoting best practices in data management, and ensuring that data is accurate, timely, and actionable. This department collaborates with other business functions, such as finance and IT, to drive innovation and support the overall success of the organization. Job Description The Data Analyst will be responsible for analyzing complex data sets, identifying trends and patterns, and creating insightful reports and visualizations that will inform strategic decision-making. The ideal candidate should be comfortable working with large and diverse datasets, possess strong analytical and problem-solving skills, and have experience in gathering requirements, leading projects, and prioritizing tasks. As the Data Analyst, you will be accountable for designing and delivering critical analytics to support business operations and forecast key performance indicators such as revenue, cost, cash, and customer delivery. This highly technical role is embedded within the business organization and offers the opportunity to shape the analytics functions of supply chain and procurement. Currently, the organization predominantly uses Tableau for descriptive analytics, analyzing data stored in the Amazon Cloud Enterprise Data Hub. There are opportunities to identify areas for improvement. You can help our team prioritize investments, identify gaps in processes and technologies, and establish a roadmap for advancing the organization's data maturity. Responsibilities: - Participate in staff meetings with business partners to gain a deep understanding of their objectives and challenges - Collaborate with stakeholders to align on objectives and priorities - Prioritize tasks effectively and deliver high-quality work within mutually agreed-upon deadlines - Analyze and explore complex datasets to uncover insights and trends that inform business decisions - Gather requirements from stakeholders to design effective data analysis and reporting solutions - Lead and manage data analysis projects from inception to completion - Ensure data quality and accuracy by validating data sources and cleaning data as necessary - Develop reports and dashboards using data visualization tools that clearly convey insights and enable effective decision-making - Stay up-to-date with emerging trends and technologies in data analysis and visualization to continuously improve and optimize processes and tools. Basic Requirements - Strong understanding of Procurement Processes (Spend analytics, Cost Modelling, Supplier Management, etc..) and Previous working experience in procurement is mandatory for this role - Having experience in working with large and complex data sets, with the ability to extract insights and develop recommendations from data analysis. - Proficiency in SQL,Python,GitHub, AWS, and experience using data visualization tools such as Tableau or Power BI to create interactive reports and dashboar ... (truncated, view full listing at source)
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