Senior Finance Operations Analyst

Posted:
11/4/2024, 10:44:14 PM

Location(s):
Karnataka, India

Experience Level(s):
Senior

Field(s):
Operations & Logistics ⋅ Sales & Account Management

About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

At Tekion, we're building the only cloud-native platform that is transforming the automotive retail industry, leapfrogging it into the future and providing unparalleled customer experience. We're creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). We’re harnessing passion, entrepreneurial spirit, deep industry expertise and the latest technologies to create something very special. We're inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!
We are seeking a skilled Finance Operations Analyst with a focus on managing employee sales commissions. The ideal candidate should be meticulous, efficient, and able to work with cross-functional teams to ensure accurate and timely commission processing.

Responsibilities:

  • Manage and administer sales commission calculations for employees, ensuring accuracy and adherence to organizational policies.
  • Collaborate with Finance, Sales, and other departments to streamline the commission process and ensure data accuracy.
  • Review, validate, and process commission-related financial data with attention to detail.
  • Provide support during month-end and year-end close processes specific to commission calculations.
  • Analyze commission data to identify trends, address discrepancies, and propose improvements to the commission structure.

    Qualifications:
  • CA or 3 to 5  year of relevant experience; alternatively, a BCom (Hons.) graduate with experience in managing employee sales commissions.
  • Strong analytical skills and high attention to detail.
  • Proficiency in financial software and advanced skills in MS Excel.
  • Ability to manage confidential information with the highest level of professionalism and integrity.

    Perks and Benefits
    • Competitive compensation
    • Stock options
    • Medical Insurance coverage
    • Work with some of the brightest minds from Silicon Valley’s most dominant and successful
     

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics. 

For more information on our privacy practices, please refer to our Applicant Privacy Notice here.

Tekion

Website: http://www.tekion.com/

Headquarter Location: Pleasanton, California, United States

Employee Count: 1001-5000

Year Founded: 2016

IPO Status: Private

Last Funding Type: Series D

Industries: Artificial Intelligence (AI) ⋅ Automotive ⋅ Big Data ⋅ Machine Learning ⋅ Management Information Systems ⋅ Software