Live opening · Posted 7 hours ago
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About the role
Description supplied by the original job listing.
As a member of the O-I Data & Analytics Hub, this role is responsible for delivering, supporting, and enhancing O-I's global reporting and business intelligence solutions across standardized, ad hoc, and self-service reporting. The position leverages Power BI, SAP data (including BW and HANA), SQL, data modeling, analytics platforms, and strong business process knowledge to provide effective reporting capabilities and end-user support. Working closely with business leaders and technology teams, this highly visible role drives the adoption and continuous improvement of BI solutions, with success measured by the value delivered and overall end-user satisfaction.
PRINCIPAL ACCOUNTABILITIES
Design, develop, and maintain Power BI reports, semantic models, and datasets.
Partner with business stakeholders, data owners, stewards, and technical teams to gather requirements and deliver reporting solutions.
Establish and follow standards for data governance, KPI definitions, report design, performance, and usability.
Support the full reporting lifecycle, from ad-hoc requests to standardized enterprise solutions.
Monitor data quality, troubleshoot issues, and ensure reporting solutions remain reliable, secure, and scalable.
Provide user support, training, and advocacy for BI tools and self-service analytics.
Create documentation, testing plans, and technical specifications.
Drive continuous improvement by identifying innovative solutions and adopting industry best practices.
Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Analytics, or a related field.
3+ years of experience in BI reporting, data analytics, data modeling, or data management.
Strong experience with Power BI, SQL, dashboard development, and data visualization.
Ability to communicate effectively in English.
Understanding of modern data architectures, including data lakes, lakehouses, data warehouses, and cloud platforms.
Experience building scalable semantic models and datasets.
Strong communication, problem-solving, storytelling, and stakeholder management skills.
Experience with Microsoft Fabric, Databricks, Azure, AWS, or GCP.
Knowledge of Python, predictive analytics, and enterprise database technologies.
Employment type
Full-time
Work arrangement
Hybrid
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