Assistant Manager - Data and Analytics

Germany (FS- D&A)- Assistant Manager -BLR

Job details

•Proposed designation 
Assistant Manager •Role type 
Individual contributor •Reporting to  
Assistant Manager/Manager •Geo to be supported 
Germany •Work timings: 9.30 to 6 or as per business requirement •Work mode: Hybrid •

 

Roles & responsibilities

 

Process

•Data Extraction, Preparation & Transformation (ETL) including Data Cleansing and Data Validation using KPMG Users D&A Tools, routines and scripts. •Coordinate with engagement teams and external clients to obtain the required data to perform audit D&A solutions. •Processing of Analyses in KPMG Artificial Intelligence,D&A tool and KCw Data Workbench (e.g.,IT Audit Data Analysis). •Troubleshooting and Bug fixing of Data Preparation and Data Transformation routines & scripts used & Data Validation Results generated in the D&A process. •Creation / Update / Review of Guidance and Training Materials •Audit D&A Solution Delivery – lead and be part of the team that is responsible for Audit D&A service delivery and ensure timely and quality audit deliverables

 

Technical & Functional

•Understand ERP systems from Functional or Techno-Functional perspective. •Content & Industry Focus – Build strong domain expertise (Accounting & Auditing), ERP specific and Industry knowledge to enable effective collaboration with International counterparts in KPMG and Clients •Coach and mentor, the team in every aspect of project management for effective client service •Using analytic & visualization tools (e.g., Alteryx, SQL, Azure, Python, Power BI, etc.) to perform and present analytic routines to the engagement team in a user friendly and insightful format. •Work with KPMG engagement teams to discuss results from the tool. •Participate in the design, development, and implement fixes and enhancements to existing modules or new modules. •Document processes and procedures for use by users / administrators •Maintain data confidentiality and adhere to the risk management policy. •Experience implementing data quality checks and anomaly detection using AI-driven techniques to ensure accuracy and reliability of data pipelines. •Hands-on experience with cloud-based AI services (e.g., Azure Cognitive Services, Azure OpenAI Service, Microsoft Purview). •Practical knowledge of NLP methods for text analytics and automated reporting solutions.

Educational qualifications

 

•Btech or Bachelor’s in Computer Application •ERP/ Data Analytics experience •

Work experience

•Minimum 5+ years of post-qualification experience •Experience with Big 4/leading Audit firms or their shared service center would be preferred

Proven technical project management skills / debugging skills 

Experience Level

Mid Level