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As a Business Intelligence Analyst, you will play a pivotal role in this transformation, directly impacting how the business understands its performance, identifies opportunities, and automates critical tasks. Your expertise will empower stakeholders with actionable insights, contributing directly to cost savings and improved operational workflows, making a tangible difference in the company’s success. We are seeking a dynamic Business Intelligence Analyst to join a forward-thinking team dedicated to process transformation. In this role, you will be instrumental in delivering meaningful insights, enhancing data quality, and improving accessibility across various service lines. This is an exciting opportunity to challenge existing processes, promote innovation, and contribute to significant operational advancements.
Job Responsibility:
Collaborate extensively with business stakeholders, IT partners, and the analytics community to identify, prioritize, and document opportunities for enhanced insights, address data gaps, and boost operational efficiency
Lead and actively support transformational projects from initial requirement gathering through to successful user-acceptance testing
Conduct in-depth analysis of substantial structured and unstructured datasets to generate critical insights that inform business use and strategic decisions
Provide comprehensive training and ongoing support to business users on self-service tools and dashboards, ensuring they understand available data fields and underlying logic
Prepare clear, concise documentation and analytical reports that effectively summarize results, assumptions, and conclusions
Requirements:
Minimum of 3 years of relevant industry experience
Bachelor’s degree in data analytics, engineering, computer science, operations management, supply chain, or a related field
Demonstrated ability to be a self-starter, capable of influencing others and working effectively both independently and as part of diverse teams across various locations
Proven experience using a dashboarding tool such as Power BI or Tableau to build impactful, customer-facing deliverables
Expertise in extracting large datasets using SQL
Working knowledge of Extract Transform Load (ETL) best practices and hands-on experience transforming data with tools like Python, Power Query, KNIME, or similar
Nice to have:
Experience using REST APIs to source data from cloud applications and skill in normalizing data from JSON files
Knowledge of Source to Pay processes
Experience using statistical programming languages such as Python, R, or SAS to create advanced analytics