Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work® Certified employer in (insert country name)
As a Finance Business Process Analyst on the Finance team in our Gurugram Office, you’ll play a vital role in transforming how Finance operates by leveraging process improvement, automation, and AI-driven solutions. You will help reduce manual work, improve efficiency and accuracy, and enable Finance to become a more scalable, data-driven, and strategic business partner. You’ll work across global teams to identify opportunities, standardize processes, and drive meaningful operational improvements.
To thrive in this role, you'll need:3+ years of professional experience in business analysis, finance operations, process improvement, or a similar function.
Strong understanding of finance processes such as Record-to-Report (R2R), Procure-to-Pay (P2P), Order-to-Cash (O2C), or related cycles.
Hands-on experience using Generative AI tools (ChatGPT, Gemini, Claude, Copilot, or similar) to solve business and operational problems and scale successful solutions across Finance teams.
Proven experience mapping, documenting, and improving business processes.
Basic SQL knowledge and proficiency in Excel or Google Sheets.
Experience working with NetSuite.
Experience in a Shared Service Center (SSC), global finance operations environment, or ERP implementations.
Support the transformation of Finance operations by documenting processes, identifying risks, gaps, and inefficiencies, and helping design scalable solutions.
Identify high-volume, repetitive finance activities and drive automation and AI-based solutions to improve efficiency and accuracy.
Partner with Finance, IT, and business stakeholders to translate operational challenges into actionable improvements.
Contribute to improving financial data quality, controls, and process standardization across global operations.
Help define and monitor KPIs, SLAs, and performance metrics across finance processes.
Build analyses and dashboards to provide visibility into process performance and improvement opportunities while supporting Finance’s evolution into a more strategic, insight-driven function.
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
Well-being: With an office culture that’s international, social and supportive, Taboola offers very generous benefits including 30 days holiday, excellent health insurance, some flexible working, and stock options to name just a few.
Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia.
Ready to realize your potential?Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About TaboolaTaboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
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