Business Intelligence Analyst

Business Intelligence Analyst: The ideal candidate will possess strong analytical skills, a passion for data-driven decision-making, and experience in transforming raw data into actionable business insights. This role will involve working closely with various departments to understand their data needs, generate reports, and develop dashboards to aid in strategic decision-making.

Key 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 is a plus.
• 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 an agile or fast-paced environments.

Preferred Qualifications:

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