Data Analyst for Business Performance
2 weeks ago
L-Acoustics Applications Team is a hub of 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 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.
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