Vertiv

Services Data Analytics Analyst

Vertiv Westerville, Ohio, United States

Appliances, Electrical, and Electronics Manufacturing · 10,001+ employees

4 h ago
Mid (2-5 yrs) Full-time United States
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About the role

The analyst will design, develop, and maintain scalable data analytics and BI solutions to drive strategic decision-making across various business functions. They will also integrate data from multiple sources and apply AI/ML models to uncover actionable insights and optimize business processes.

What they look for

Data Science Business Intelligence SQL Microsoft SQL Server Power BI Python C# JavaScript .NET Oracle EBS Machine Learning Data Analytics Statistical Modeling Data Visualization AI Frameworks SDLC

Requirements

Candidates must have a bachelor's degree in Information Technology or a related field and 1–3 years of experience working with large datasets. Proficiency in SQL, Microsoft BI stack, and programming languages like Python or C# is required.

Full description

POSITION SUMMARY

We are seeking a skilled Data Scientist / Business Intelligence Developer to join our Business Analytics team. In this role, you will design, develop, test, and support data analytics and BI solutions that drive insights and decision-making across multiple business functions. The ideal candidate is data-driven, analytical, and capable of transforming raw data into strategic business value

RESPONSIBILITIES

Primary Focus:

  • Collaborate with the Business Analytics team to build and maintain scalable analytics and BI solutions.
  • Work with large datasets to uncover actionable insights that support business strategies.

Data & Solution Development:

  • Collect and integrate data from legacy systems, Oracle EBS, cloud platforms, and emerging AI-powered data sources.
  • Design and develop scalable, AI-enabled analytics pipelines that support both structured and unstructured data.
  • Identify valuable data sources and implement automation for efficient data collection, transformation, and enrichment.
  • Create reports, visualizations, and dashboards that leverage AI-driven insights to support departments such as Sales, Finance, Operations, Marketing, Procurement, and Supply Chain.
  • Apply machine learning techniques and statistical models to uncover trends, detect anomalies, and predict future outcomes.
  • Conduct deep data analysis to understand customer behavior and business performance; use AI models to simulate scenarios and optimize business decisions.

Technical Development & Support:

  • Build, deploy, and maintain advanced BI and AI/ML-enabled dashboards and analytics tools using Microsoft SQL Server, Power BI, and Microsoft BI stack.
  • Develop AI-enhanced workflow solutions and recommendation engines that support business processes.
  • Ensure performance, scalability, and security of data products incorporating AI components when appropriate.
  • Support the integration of AI services with enterprise applications and data ecosystems.
  • Develop and maintain technical documentation, including documentation of AI models, data pipelines, and governance practices.
  • Monitor and continuously improve existing BI and AI systems for accuracy, relevance, and usability.
  • Explore and evaluate new AI technologies and frameworks, ensuring the organization remains at the forefront of intelligent analytics solutions.

General Expectations:

  • Support leadership with data-driven insights for strategic decision-making.
  • Continuously evaluate and enhance BI platforms.
  • Stay current with BI and analytics trends and recommend improvements.
  • Participate in cross-functional team collaboration and technical integrations.

QUALIFICATIONS

  • 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.
  • Experience with Oracle EBS and SharePoint is a plus.
  • 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.
  • Comfortable working in a matrixed organization and engaging with all organizational levels.
  • Strategic thinking with a results-oriented approach.
  • Ability to mentor, train, and foster cross-team collaboration.

WORKING CONDITIONS

  • Willing to work flexible hours
  • Requires ability to maintain overall productivity in an interrupt-driven environment
  • Travel as required (domestic & international)