KPMG Recruitment 2024

KPMG is a global network of professional firms providing Audit, Tax and Advisory services. We're looking for a bright and curious individual to join our growing Data Analytics team as a Data Analysis Assistant (Remote).

In this role, you'll play a vital role in supporting our data-driven decision making by assisting senior analysts with collecting, cleaning, and visualizing data. You'll have the opportunity to work on a variety of projects across different industries, gaining valuable exposure to the latest data analysis tools and techniques.

Why Join KPMG in this role?

• Make an Impact: At KPMG, you'll be part of a team that uses data to solve complex problems and drive real business results.
• Learning & Development: We're committed to your professional growth and offer a wide range of training and development opportunities to help you hone your skills and advance your career.
• Remote Work: Enjoy the flexibility of working remotely and create a work-life balance that suits you.
• Collaborative Culture: We foster a collaborative and supportive work environment where you'll be encouraged to learn from your colleagues and share your ideas.

Job Summary

Are you a detail-oriented individual with a passion for data? Do you enjoy working with numbers and have a knack for identifying patterns and trends? If so, we want to hear from you!

In this role, you'll be responsible for a variety of tasks to support our data analysis team. You'll work closely with senior analysts to understand their needs, gather data from various sources, clean and prepare data for analysis, and create clear and concise visualizations.

This is a great opportunity for someone who is eager to learn and gain experience in the field of data analysis. No prior experience is necessary, but a strong foundation in math and a willingness to learn are essential.

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We offer a competitive salary and benefits package, including health insurance, paid time off, and a retirement savings plan. We're also committed to creating a diverse and inclusive workplace where everyone feels valued and respected.

Key Responsibilities:

• Assist senior analysts with data collection, cleaning, and manipulation.
• Use SQL to query databases and extract relevant data.
• Perform basic statistical analysis and create data visualizations using tools like Excel and Tableau.
• Document data analysis processes and methodologies.
• Stay up-to-date on the latest data analysis tools and techniques.
• Communicate effectively with colleagues from all levels of the organization.

Required Skills and Qualifications:

• Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science) or a related field.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Proficient in Microsoft Office Suite (Excel, Word, PowerPoint).
• Basic understanding of SQL.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.

Experience:

• This is an entry-level position, so no prior experience in data analysis is required. However, a strong foundation in math and a willingness to learn are essential.

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Why Join KPMG?

At KPMG, you'll have the opportunity to work with some of the brightest minds in the business and gain exposure to a wide range of industries. We offer a competitive salary and benefits package, as well as a strong commitment to professional development. We're also proud to be a diverse and inclusive workplace where everyone feels valued and respected.

Benefits & Work Environment:

• Competitive salary and benefits package
• Paid time off
• Health insurance
• Retirement savings plan
• Opportunities for professional development
• Collaborative and supportive work environment
• Remote work flexibility

Application Process:

If you're interested in joining our team, please submit your resume and cover letter online.

Motivate to Join

We're looking for a talented and motivated individual to join our growing team. If you're ready to take your career to the next level and make a real impact, we encourage you to apply!

In Conclusion

This is a great opportunity for someone who is eager to learn and gain experience in the field of data analysis. If you're a detail-oriented individual with a strong foundation in math and a passion for data, we encourage you to apply!

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