Business Data Analyst- Finance Team

Description:

We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.

With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.

Our Finance team is growing, and we're looking for a Business Data Analyst to join us! We manage everything from strategic planning to compliance, ensuring our infrastructure supports the company’s rapid growth. In this role, you will play a key role in transforming financial data into actionable insights, working closely with finance professionals and senior stakeholders to drive data-driven decision-making across the organization.

• Define and track finance-related KPIs to measure and optimize business performance while ensuring data quality, consistency, and integrity.
• Develop reports and dashboards using BI tools to visualize key financial data.
• Collaborate with stakeholders, including senior leadership, to inform strategic decision-making using data insights.
• Identify and implement data-driven opportunities to improve financial efficiency and business performance.
• Identify and automate manual or repetitive processes to improve accuracy, efficiency, and scalability across finance analytics workflows.
• Design and implement tools, scripts, and data pipeline enhancements that streamline reporting, reduce operational overhead, and enable continuous process improvement.

• 3-5 years of experience in a data analytics role, preferably within finance-related business areas.
• Bachelor’s degree in Computer Science, Data Analytics, Industrial Engineering, Information Systems, or a related field.
• Proficiency in SQL for data extraction, transformation, and analysis.
• Hands-on experience with BI tools such as Tableau, Power BI, or Looker for building insightful reports and dashboards.
• Familiarity with data warehousing concepts and techniques.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive meaningful insights.
• Strong communication skills, with the ability to bridge the gap between technical and non-technical stakeholders.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Excellent English – both written and verbal.