IT Data Analytics Senior Analyst

POSITION SUMMARY:

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.

As IT Data Analytics Senior Analyst, 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.

JOB RESPONSIBILITIES:

• Support the Global month-end forecasting and budgeting process.
• Actively focus on automation opportunities, supporting (& driving) business performance.
• Support colleagues on transformation projects and develop reporting solutions to support existing and new processes
• Build strong relationships with the business in support of key business areas.
• Challenge and improve the current reporting ways to address offer the best support in automation to obtain relevant and insightful understanding.
• Identify opportunities to improve data usage in support of decisions to improve business performance.
• Act as a liaison between the business and finance teams.
• Continuously develop processes and reports that can be optimized and standardized using appropriate intelligence systems.
• Ensure 1 version of truth across all financial reporting systems.
• Work with the FP&A Function and Regional Managers and FP&A Analysts towards building new reports using different reporting systems to support financial planning, management reporting, and regular and ad-hoc analyses.
• 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.

JOB QUALIFICATIONS:

• Education: University Degree in Economics, Finance, Computer Science, Mathematics, Statistical Modeling or any equivalent courses.
• 3+ 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, 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 EBS, Excel, Smartsheet, SharePoint, etc.
• Experience managing and consolidating large data sets to drive a simplified message.
• Excellent communicator with the ability to understand and transpose financial data to various data analysis tools with help from financial analysts.
• Previous experience in an international and culturally diverse organization is a plus.
• High level of ownership and accountability.
• Language skills: English – Minimum C1 required.