Business Intelligence Analyst

McKessonShepherdsville, KY

About The Position

The Business Intelligence Analyst will play a crucial role in transforming raw data into actionable insights, supporting strategic decision-making and operational improvements across the organization. This position will focus on developing and maintaining reporting solutions, analyzing complex datasets, and presenting findings to stakeholders to drive efficiency and optimize our third-party logistics operations.

Requirements

  • BA, Business Analytics, Computer Science, Information Systems, Statistics, or a 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.

Nice To Haves

  • Experience in the logistics, supply chain, or pharmaceutical industry is a plus

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

Benefits

  • competitive compensation package
  • annual bonus
  • long-term incentive opportunities

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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