Assistant Manager - Indirect Tax Data Analytics
Kpmg India Services LlpJob Description
Assistant Manager KDNI-Tax Tech-IDT
What you will do:
- Preparing and reviewing indirect tax returns including GST/HST and QST returns for financial institutions using data analysis tools such as Microsoft Excel, Alteryx, Copilot, Datasnipper and Power Query.
- Assisting senior staff members in all aspects of indirect tax initiatives.
What you bring to the role:
- 1 to 2 years of data analytics experience, including a degree specialized in data analytics or similar.
- Highly self-motivated individual.
- Advanced Microsoft Excel and Alteryx data analysis skills. Prior experience with Power Query, Copilot, and Datasnipper.
- Proficiency in coding, particularly with Python to develop and maintain automation scripts.
- Experience with Robotic Process Automation (RPA) tools, such as Power Automate, to streamline and automate internal processes.
- Strong knowledge of PowerBI for data visualization and reporting.
- Excellent written and verbal communication skills.
- Excellent research and analytical skills.
- Ability to effectively manage conflicting demands and priorities.
- High level of drive, enthusiasm and a positive attitude.
- Excellent interpersonal skills and demonstrated ability to work effectively in teams and meaningfully contribute towards attaining team goals.
Keys to your success:
Individuals who take deep personal accountability for their work, have a passion for excellence, driven to achieve their full potential and understand the value of building relationships with clients, future clients, their communities, the global firm and each other. A KPMG professional should have all the following characteristics:
- Strong work ethic
- Thrive on challenges
- Dedicated to providing outstanding client service
What you will do:
- Preparing and reviewing indirect tax returns including GST/HST and QST returns for financial institutions using data analysis tools such as Microsoft Excel, Alteryx, Copilot, Datasnipper and Power Query.
- Assisting senior staff members in all aspects of indirect tax initiatives.
What you bring to the role:
- 1 to 2 years of data analytics experience, including a degree specialized in data analytics or similar.
- Highly self-motivated individual.
- Advanced Microsoft Excel and Alteryx data analysis skills. Prior experience with Power Query, Copilot, and Datasnipper.
- Proficiency in coding, particularly with Python to develop and maintain automation scripts.
- Experience with Robotic Process Automation (RPA) tools, such as Power Automate, to streamline and automate internal processes.
- Strong knowledge of PowerBI for data visualization and reporting.
- Excellent written and verbal communication skills.
- Excellent research and analytical skills.
- Ability to effectively manage conflicting demands and priorities.
- High level of drive, enthusiasm and a positive attitude.
- Excellent interpersonal skills and demonstrated ability to work effectively in teams and meaningfully contribute towards attaining team goals.
Keys to your success:
Individuals who take deep personal accountability for their work, have a passion for excellence, driven to achieve their full potential and understand the value of building relationships with clients, future clients, their communities, the global firm and each other. A KPMG professional should have all the following characteristics:
- Strong work ethic
- Thrive on challenges
- Dedicated to providing outstanding client service
Education:
- Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related field.
Experience:
- 1 to 2 years of hands-on experience in data analytics, preferably in a tax, finance, or consulting environment.
Technical Skills:
- Advanced proficiency in Microsoft Excel, including Power Query.
- Experience with Alteryx, Datasnipper, and Copilot for data transformation and review.
- Proficiency in Python for developing and maintaining automation scripts.
- Familiarity with Robotic Process Automation (RPA) tools such as Power Automate.
- Strong knowledge of Power BI for data visualization and reporting.
Soft Skills:
- Excellent written and verbal communication skills.
- Strong research and analytical abilities.
- Ability to manage conflicting demands and priorities effectively.
- High level of drive, enthusiasm, and a positive attitude.
- Strong interpersonal skills and ability to work collaboratively in teams.
Experience Level
Mid LevelJob role
Job requirements
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