Services Data Analytics Analyst

Vertiv Group • Westerville, OH

1d

About The Position

The Services Data Analytics Analyst will join the Business Analytics team to design, develop, test, and support data analytics and business intelligence solutions that inform decisions across multiple business functions. The role transforms raw data into business insights and strategic value by working with large datasets and creating scalable analytics solutions, dashboards, and AI-enabled tools.

The position involves integrating data from legacy systems, Oracle EBS, cloud platforms, and emerging AI-powered sources; developing analytics pipelines for structured and unstructured data; and applying machine learning and statistical methods to identify trends, anomalies, and potential outcomes. The analyst will build and maintain solutions using Microsoft SQL Server, Power BI, and the Microsoft BI stack, support AI-service integrations, document data pipelines and models, and continually assess new technologies and improve existing systems.

The analyst also supports leadership with data-driven insights, collaborates across teams, and works in an interrupt-driven environment. Flexible hours and domestic and international travel as required are part of the working conditions.

Requirements

• Bachelor’s degree in Information Technology or a related field.
• 1–3 years of business domain experience working with large datasets and solving complex business problems.
• Strong command of SQL and relational databases.
• Experience with Microsoft SQL Server, Power BI, and the Microsoft BI stack.
• Programming skills in .NET, Python, C#, or JavaScript.
• Familiarity with SDLC methodologies.
• Familiarity with AI/ML frameworks and experience applying machine learning models to real-world business problems.
• Exceptional analytical and problem-solving skills.
• Strong communication and presentation abilities.
• High attention to detail and time management.
• Ability to work independently and manage multiple priorities.
• Strong customer focus and interpersonal effectiveness.
• Comfort working in a matrixed organization and engaging with all organizational levels.
• Strategic thinking and a results-oriented approach.
• Willingness to work flexible hours.
• Ability to maintain overall productivity in an interrupt-driven environment.
• Willingness to travel domestically and internationally as required.

Nice To Haves

• Experience with Oracle EBS and SharePoint.

Responsibilities

• Collaborate with the Business Analytics team to build and maintain scalable analytics and BI solutions.
• Analyze large datasets to uncover actionable insights that support business strategies.
• Collect and integrate data from legacy systems, Oracle EBS, cloud platforms, and AI-powered data sources.
• Design and develop scalable analytics pipelines for structured and unstructured data.
• Identify valuable data sources and automate data collection, transformation, and enrichment.
• Create reports, visualizations, and dashboards using AI-driven insights for Sales, Finance, Operations, Marketing, Procurement, and Supply Chain.
• Apply machine learning techniques and statistical models to uncover trends, detect anomalies, and predict outcomes.
• Analyze customer behavior and business performance, and use AI models to simulate scenarios and optimize decisions.
• Build, deploy, and maintain BI and AI/ML-enabled dashboards and analytics tools using Microsoft SQL Server, Power BI, and the Microsoft BI stack.
• Develop AI-enhanced workflow solutions and recommendation engines to support business processes.
• Ensure data products incorporating AI components are performant, scalable, and secure.
• Support integration of AI services with enterprise applications and data ecosystems.
• Maintain technical documentation for AI models, data pipelines, and governance practices.
• Monitor and improve existing BI and AI systems for accuracy, relevance, and usability.
• Explore and evaluate AI technologies and frameworks for intelligent analytics solutions.
• Support leadership with data-driven insights for strategic decision-making.
• Evaluate and enhance BI platforms, stay current with analytics trends, and recommend improvements.
• Participate in cross-functional collaboration and technical integrations.
• Mentor and train others and foster cross-team collaboration.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level