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Lead - Data Analyst and Research Team

AppZen

AppZen

IT, Data Science
Pune, Maharashtra, India
Posted 6+ months ago
AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.com.
Passionate about data and want to ensure the best customer experience are looking for people who can ensure success with our fast-growing list of Fortune 500 customers. This position’s primary focus is analysing customer data and working with cross-functional teams. If you are looking to make an immediate impact, this is the role for you!

About You:

  • Number crunching to derive critical trends driving business value
  • Strong communication skills including both verbal and non-verbal skills
  • Working under pressure, delivering a sense of urgency Strong analytical and problem-solving skills
  • Leading a team of Data Analysts to generate training/testing datasets for annotations, aimed toward increasing the AI model accuracy
  • Performing analysis and measuring the existing accuracy of AI models as well as providing inputs to the Data Science team

Responsibilities:

  • Work with business stakeholders and functional teams, fulfilling their data needs and helping them to leverage analytics to improve their domains act faster, and make better decisions
  • Contribute to the enhancement of data-driven culture within Data Operations teams by extending data marts, adopting data quality standards, and developing actionable dashboards and ad-hoc research projects
  • Proactively come up with initiatives on projects enhancing top-notch data analytics or improving business performance
  • Support management reporting, by providing with the best user experience and ready to consume dashboards
  • Participate in ad-hoc projects and data requirements with functional and operations teams and become a part of initiatives driving global impact
We are equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.