IT Data Analytics Specialist

At Vertiv, we build products that keep critical technologies running 24/7. We are proud we were the first to protect mainframes with precision cooling systems. We were the first to introduce an integrated enclosure system to distributed networks. We help some of the largest names in the industry bring new capacity online faster and at a lower cost when search and social media increased demand for storage and computing. Our portfolio spans power, thermal and infrastructure management products, software, and solutions, and is complemented by a network of nearly 250 service centers worldwide.

General Role Description

As IT Data Analytics Specialist with finance you will collaborate with all the FP&A Function and Regional Managers, Analysts, Finance Partners to automate the Global performance reporting processes, to automate, standardize and build finance reports to deliver the financial story line in a disciplined, meaningful way.

The work will be carried out within a highly motivated team that will offer support in daily tasks. The work is done in an environment which emphasizes customer satisfaction, entrepreneurship, ownership and achieving results.

Key responsibilities: In this role you will:

• Lead data analysis efforts by gathering, cleaning, and interpreting large datasets to support business operations and strategy.
• Develop and implement advanced data models, predictive analytics, and statistical methods to identify trends, patterns, and insights.
• Create and maintain interactive dashboards and reports to communicate findings to stakeholders in an easily digestible format.
• Provide actionable insights to business leaders and team members to drive data-driven decision-making across the organization.
• Collaborate with teams within Finance to understand data needs and deliver solutions.
• Mentor and guide junior data analysts, providing support with technical challenges and fostering their professional growth.
• Develop and automate data pipelines for regular reporting and analysis, ensuring data accuracy and consistency.
• Ensure data quality and integrity by applying data governance and best practices in data management.
• Present findings and recommendations to senior leadership, translating complex technical information into business language.
• Stay up-to-date with the latest trends, tools, and techniques in data analysis and apply them to improve processes.

Key competences expected for this role, to reach success and optimal performance:

• Focus on self-growth and challenge yourself in personal development: keep an open mind and learn from industry experts, participate in internal trainings, be part of technical developments related to your role and apply the knowledge in your day-to-day work.
• Be passionate about your work: show excellent business acumen, apply your knowledge of business to advance the organization's goals. Making the right calls at the right time.
• Be innovative: bring your own ideas of improvements inside the team, look at each process and task with the goal of constantly improving it to bring more value to you, the customer, to your team and the organization.
• Effective team player: contribute to healthy work climate & actively participate in team meetings where you share professional experiences driving common team improvement.
• Change agility: you enjoy experiencing change, viewing problems as an opportunity for change and improvement.
• Act like an owner: approach your daily work with ethics, responsibility, discipline, and ownership, knowing that everything you do has an impact on the customers, the company, and your own development.

Requirements:

Education: University Degree in Economics, Finance, Computer Science, Mathematics, Statistical Modeling or any equivalent courses.

Experience and key skills:

• 9+ years postgraduate experience in Data Analysis or Business Intelligence Analysis of financial data or Finance with developing of financial reporting solutions.
• Excellent understanding of and ability to use several programming languages including but not limited to Power BI, Python, SQL Server Reporting Services.
• Experience with back-end analysis and reporting tools as well as other financial planning & reporting systems.
• Understanding of large data systems and using appropriate techniques to retrieve, define and publish financial data models.
• Familiar with using a range of data sources including Oracle, Excel, Smartsheet, SharePoint, etc.
• Experience managing and consolidating large data sets to drive a simplified message.
• Strong analytical thinking and problem-solving skills, with the ability to manage multiple projects simultaneously.
• Excellent communicator with the ability to understand and transpose financial data to various data analysis tools with help from financial analysts.
• Strong project management skills.
• Previous experience in an international and culturally diverse organization is a plus.
• High level of ownership and accountability.
• Language skills: English – Minimum C1 required.