L-Acoustics Applications Team, exemplifies technical mastery and innovation, acting as the definitive product experts. They ensure the seamless deployment and peak performance of L-Acoustics’ cutting-edge audio solutions on a global scale. The team excels in providing specialized regional support, comprehensive customer service, and advanced training programs.  

Reporting to the Executive Director of Applications, the Data & KPI Analyst will be responsible for collecting, analyzing, and interpreting data to provide actionable insights and support data-driven decision-making. This role involves developing and maintaining key performance indicators (KPIs) to measure and improve business performance. 

Key Responsibilities: 

Data Collection, Analysis, and Interpretation:

• Collect, analyze, and interpret large datasets to identify trends, patterns, and insights. 

• Perform statistical analysis and quantitative techniques to derive meaningful insights. 

• Utilize programming languages such as Python, R, and SQL for data manipulation and analysis. 

Developing and Maintaining KPIs: 

• Develop and maintain KPIs to monitor business performance and support strategic decision-making. 

• Regularly track and report on these KPIs to assess and improve business performance. 

Creating Reports and Dashboards: 

• Create and present detailed reports and dashboards to stakeholders using tools like Tableau, Power BI, or Excel to visualize data. 

• Ensure visualizations are clear, informative, and tailored to the audience’s needs.

Collaboration with Cross-Functional Teams: 

• Collaborate with cross-functional teams to understand data needs and provide analytical support. 

• Communicate insights and recommendations effectively to stakeholders. 

Ensuring Data Accuracy and Integrity: 

• Perform regular data audits and validation to ensure data accuracy and integrity. 

• Prepare and clean data to ensure its quality and reliability. 

Identifying Process Improvements: 

• Identify opportunities for process improvements and recommend data-driven solutions. 

• Stay up-to-date with industry trends and best practices in data analysis and KPI management. 

Business Intelligence (BI): 

• Apply knowledge of BI tools and techniques to transform data into actionable information. 

• Use BI tools to support strategic planning and decision-making processes. 

Qualifications: 

• Technical Proficiency: Expertise in statistical methods, quantitative analysis, and programming languages (Python, R, SQL). 

• Data Management: Experience in using and managing database systems. 

• Data Visualization: Proficiency in creating clear and informative visualizations using tools like Tableau, Power BI, or matplotlib. 

• Business Intelligence: Knowledge of BI tools and techniques.