Finance Data Analyst

Posted 2 Days Ago
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Cluj-Napoca, Cluj, ROU
In-Office
Mid level
Hardware • Software • Analytics
The Role
Build finance dashboards, KPIs, and standardized reporting in Power BI; develop SQL data transformations; automate reporting with Python, Power Automate, and RPA; and improve governed datasets, data quality, and analytics workflows. The role partners with Finance and technical stakeholders, supports cloud and on-premises data movement, applies LLMs responsibly, and contributes to AI/ML use cases such as anomaly detection, forecasting, and intelligent automation.
Summary Generated by Built In

Who are we?

At Vertiv, we’re on a mission to empower the people that will power the future. From a simple swipe to life-changing medicines, from push notifications to generative AI. We design, manufacture, and service the products and solutions that keep the world connected.  With $6.9 billion in sales, a strong customer base and global reach spanning nearly 70 countries, we are uniquely positioned to deliver greater value to our customers and create new opportunities for our people.


Join Vertiv’s new Finance Data & AI Analytics capability in Cluj-Napoca and help turn finance data into trusted, automated, decision-ready insight. The role combines financial analytics, BI reporting, data engineering concepts, process automation and practical AI/LLM usage. You will partner with Finance stakeholders to build scalable reporting, improve data quality, reduce manual work and accelerate insight generation across the organisation.


KEY RESPONSIBILITIES

  • Build and maintain finance dashboards, KPIs and standardized reporting in Power BI, applying strong DAX and visualization practices.
  • Aggregate, interpret and summarize financial statistics; translate business questions into clear, decision-ready reporting and insights.
  • Develop and optimize SQL queries and data transformations; work with large datasets across source systems, databases and reporting platforms.
  • Automate recurring reporting and data workflows using Python, Power Automate and other RPA/automation tools, reducing manual effort and cycle time.
  • Contribute to governed data products and reusable datasets/models, with clear documentation, controls, validation routines and data-quality checks.
  • Support finance data movement and analytics workflows across on-premises environments and cloud platforms; collaborate on integrations and performance improvements.
  • Use LLMs responsibly for productivity and analytics tasks, including prompt engineering and review/correction of AI-generated reports and outputs.
  • Partner with Finance and technical stakeholders to understand requirements, communicate trade-offs and deliver scalable solutions; document processes and standard operating procedures.
  • Support exploratory AI/ML use cases such as anomaly detection, forecasting and intelligent automation as the Finance Data & AI Analytics capability matures.

QUALIFICATIONS & EXPERIENCE

CORE REQUIREMENTS

  • Bachelor’s degree in Data Analytics, Business Analytics, Information Systems, Finance, Accounting, Computer Science, Engineering, or related field.
  • 3+ years of experience in data analytics, BI, process automation, financial systems or related disciplines.
  • Strong working knowledge of Power BI and DAX; experience publishing reports and automating workflows.
  • Practical SQL skills and experience handling, transforming and validating large datasets.
  • Demonstrated experience with Python and automation/RPA tools for repeatable analytics or reporting processes.
  • Strong analytical, problem-solving and process-improvement skills with high attention to detail and data quality.

PREFERRED / VALUE-ADD

  • Experience with Snowflake and/or Oracle; familiarity with cloud data platforms and serverless services (AWS a plus).
  • Experience with HFM, Oracle EPM, OneStream, ERP data or FP&A / financial reporting processes.
  • Experience with Grafana, Tableau or Google Analytics in addition to Power BI.
  • Basic knowledge of Linux CLI, virtual machines, OAuth and authentication/authorization concepts.
  • Basic ability to interact with LLMs, prompt engineering, and critical review of AI-generated analysis.
  • General knowledge of financial metrics; manufacturing-sector finance knowledge is a plus.
  • Excellent communication skills and willingness to expand into adjacent data, cloud and IT domains.

The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities.


OUR CORE PRINCIPALS:  Safety, Integrity, Respect, Teamwork, Diversity & Inclusion.


OUR STRATEGIC PRIORITIES 

  • Customer Focus 
  • Operational Excellence 
  • High-Performance Culture 
  • Innovation 
  • Financial Strength

OUR BEHAVIORS 

  • Own It 
  • Act With Urgency 
  • Foster a Customer-First Mindset 
  • Think Big and Execute 
  • Lead by Example 
  • Drive Continuous Improvement 
  • Learn and Seek Out Development

At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.


 Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected]. If you are interested in applying or learning more about this role, please visit the company’s career page located on Vertiv.com/Careers.


#LI-DG1

Skills Required

  • Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Finance, Accounting, Computer Science, Engineering, or a related field
  • At least 3 years of experience in data analytics, business intelligence, process automation, financial systems, or related disciplines
  • Strong working knowledge of Power BI and DAX
  • Experience publishing reports and automating workflows
  • Practical SQL skills and experience handling, transforming, and validating large datasets
  • Experience with Python and automation or RPA tools for repeatable analytics or reporting processes
  • Strong analytical, problem-solving, and process-improvement skills with high attention to detail and data quality
  • Experience with Snowflake and/or Oracle
  • Familiarity with cloud data platforms and serverless services, with AWS experience a plus
  • Experience with HFM, Oracle EPM, OneStream, ERP data, or FP&A and financial reporting processes
  • Experience with Grafana, Tableau, or Google Analytics in addition to Power BI
  • Basic knowledge of Linux CLI, virtual machines, OAuth, and authentication or authorization concepts
  • Basic ability to interact with LLMs, perform prompt engineering, and critically review AI-generated analysis
  • General knowledge of financial metrics; manufacturing-sector finance knowledge is a plus
  • Excellent communication skills and willingness to expand into adjacent data, cloud, and IT domains

Vertiv Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vertiv and has not been reviewed or approved by Vertiv.

  • Healthcare Strength — Health coverage is described as comprehensive, with standard medical, dental, and vision plans plus wellness and mental-health resources. Core offerings also include disability and life insurance and an Employee Assistance Program.
  • Leave & Time Off Breadth — Time off includes paid holidays and PTO typical of large employers, and many U.S. salaried roles feature flexible or "unlimited" PTO approaches. These programs are part of a structured, global total rewards framework.
  • Fair & Transparent Compensation — Pay is considered fair at start for many office-based, engineering, and field service roles, and total compensation packages are viewed as stable. In some hourly manufacturing settings, overtime opportunities help boost overall earnings.

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The Company
HQ: Columbus, OH
8,435 Employees
Year Founded: 2016

What We Do

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to ensure its customers’ vital applications run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs approximately 20,000 people and does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.

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