Business Intelligence Analyst

Electrolux - Charlotte, NC

Full-time - Mid Level

Charlotte, NC

Machinery Manufacturing

About the position

The Business Intelligence Analyst at Electrolux Group is responsible for transforming raw data into actionable business insights to support strategic decision-making across various departments. This role requires strong analytical skills and experience with BI tools to develop reports and dashboards that meet the data needs of stakeholders.

Responsibilities

• Collect, analyze, and interpret data to provide actionable insights and recommendations to stakeholders.
• Develop and maintain BI reports, dashboards, and data visualizations using tools like Excel, Power BI, or Python.
• Collaborate with cross-functional teams (e.g., product line, finance, sales) to understand business goals and align data strategies.
• Identify trends, patterns, and opportunities for improvement through data analysis.
• Work with large datasets and complex queries to build automated reporting and BI solutions.
• Ensure data accuracy and consistency by developing and maintaining data governance processes.
• Stay up to date with the latest BI tools, technologies, and best practices to improve analytical solutions.
• Provide training and support to team members and stakeholders on how to use BI tools and interpret data.

Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Business, or a related field.
• Proven experience as an Analyst or similar role.
• Strong knowledge of BI tools such as Tableau, Power BI, or Python.
• Proficiency in SQL and experience with database management.
• Proficiency in Microsoft Office tools, particularly Excel.
• Familiarity with data warehousing concepts and processes.
• Strong problem-solving and critical-thinking skills with the ability to turn data into actionable insights.
• Good communication skills, both verbal and written, with the ability to present findings to non-technical stakeholders.
• Attention to detail and a passion for data quality and accuracy.
• Experience working in agile or fast-paced environments.

Nice-to-haves

• Advanced proficiency in Python/R/SQL for data analysis and automation.
• Familiarity with cloud platforms like AWS, Google Cloud, or Azure.