Tax Data & PowerApps Associate — Low-Code Analytics

KPMG LLP; Detroit (MI); On-site; USD 75,000 - 105,000; Full time

Job summary

KPMG LLP in Detroit is seeking an Associate, PowerApps Developer to join the Data & Analytics practice. You will design and implement low-code solutions, integrate data from source systems, and contribute to the Power Platform program for KPMG Tax.

Working with seasoned architects and client teams, you will develop data-driven solutions, document procedures, and present findings while supporting data collection, loading, and modeling efforts to meet project objectives.

Qualifications

• Experience with relational databases (e.g., Access, MySQL).
• Bachelor's degree in analytics, data science, CS or related field.
• Proficiency with Python and SQL; exposure to Spark.
• Experience handling large data sets and analytics.
• Strong communication and collaborative skills.
• Ability to work independently and in a team.

Responsibilities

• Support development and data tasks including data collection/retrieval, loading, software development, analysis, and modeling.
• Collaborate with architects to build the Power Platform program for KPMG Tax.
• Design and develop Low-Code solutions for KPMG Tax Practice and clients.
• Prepare documentation and analytical reports summarizing procedures and conclusions.
• Interact with clients to obtain data, review deliverables, and resolve issues.

Skills

PowerApps

Python

SQL

Spark

Data analysis

Communication

Team collaboration

Education

Bachelor's degree in analytics or data management related field

Tools

Microsoft Access

MySQL

Power Platform

Job description

KPMG LLP in Detroit is seeking an Associate, PowerApps Developer to join the Data & Analytics practice. You will design and implement low-code solutions, integrate data from source systems, and contribute to the Power Platform program for KPMG Tax.

Working with seasoned architects and client teams, you will develop data-driven solutions, document procedures, and present findings while supporting data collection, loading, and modeling efforts to meet project objectives.