Business Intelligence Analyst scaling SaaS reporting solutions for E - Commerce analytics. Collaborating with cross - functional teams to implement data transformations and optimize business intelligence projects.
About the role
- Business Intelligence Analyst at McKesson transforming raw data into actionable insights for strategic decision-making and operational improvements. Develop and maintain reporting solutions in a hybrid work environment.
Responsibilities
- Design, develop, and maintain interactive dashboards, reports, and data visualizations using BI tools (Power BI, Tableau) to monitor key performance indicators (KPIs) and operational metrics
- Gather and analyze business requirements from various departments to translate them into technical specifications for BI solutions
- Extract, transform, and load (ETL) data from diverse sources, ensuring data accuracy, consistency, and integrity
- Perform in-depth data analysis to identify trends, patterns, and anomalies, providing insights into business performance, customer behavior, and operational efficiency
- Collaborate with IT and data engineering teams to optimize data warehousing solutions and data pipelines
- Develop and implement data models to support reporting and analytical needs
- Present analytical findings and recommendations to both technical and non-technical audiences in a clear, concise, and compelling manner
- Support ad-hoc data requests and perform root cause analysis for operational issues
- Ensure data security and compliance with relevant regulations and company policies
- Continuously research and evaluate new BI tools, technologies, and best practices to enhance our analytical capabilities
Requirements
- BA in Business Analytics, Computer Science, Information Systems, Statistics, or related quantitative field
- 2+ years of experience in a Business Intelligence, Data Analyst, or similar analytical role
- Proven proficiency with at least one major BI tool (Microsoft Power BI, Tableau) for dashboard and report development
- SQL skills for data extraction, manipulation, and analysis
- Experience with data warehousing concepts and ETL processes
- Excellent analytical and problem-solving skills with the ability to interpret complex data and derive meaningful insights
- Solid understanding of data modeling principles
- Exceptional communication and presentation skills, with the ability to convey complex information clearly to various audiences
- Ability to work independently and collaboratively in a fast-paced environment
- Experience in the logistics, supply chain, or pharmaceutical industry is a plus.
Benefits
- Competitive compensation package
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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