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Open nowPosted yesterday

Services Data Analytics Analyst

Vertiv2,254 open roles

Where
Westerville, OH, United States
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Your applicationOpen nowServices Data Analytics AnalystVertiv · Westerville, OH, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Vertiv's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Vertiv postings stay open a median of 15 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted yesterday

Vertiv median: 15 days open

The posting

Job 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)
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