Data Analyst

SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and manage everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company’s 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON.

Visit us at https://www.softwareone.com/en

• Data Analyst will be responsible for collecting, analyzing, and interpreting data to provide actionable insights that drive decision-making and business strategies.
• You will collaborate with cross-functional teams to identify trends, optimize processes, and ensure data accuracy and integrity.
• Data Analysis: Extract, clean, and analyze large datasets from various sources.
• Identify trends, patterns, and anomalies in data to provide actionable insights.
• Reporting and Visualization: Create dashboards, reports, and visualizations to communicate data findings.
• Present insights to stakeholders in a clear and concise manner.
• Collaboration: Work closely with business teams to understand their data needs and requirements.
• Provide recommendations based on data findings to improve business processes and outcomes.
• Data Integrity: Ensure data accuracy, consistency, and reliability across systems.
• Identify and resolve data discrepancies and quality issues.
• Process Optimization: Identify opportunities for process improvements through data analysis.
• Develop and implement data-driven solutions to optimize workflows and performance.

• Minimum of Bachelor’s degree in any stream
• 3-5 years of experience in data analysis, business intelligence, or a similar role.
• Prior experience on data quality, data analysis and data management.
• Familiarity with data quality frameworks and data governance principles (Optional).
• Understanding of Software Asset Management processes and procedures.
• Understanding of Procurement Lifecycle.
• Familiarity with data quality frameworks.
• Strong proficiency in Data analysis and reporting tools (e.g., Excel, Power BI)
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment.