Germany (FS- D&A)- Assistant Manager-BLR at KPMG Global Services

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 Sep, 26

Salary

0.0

Posted On

23 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, Data Cleansing, Data Validation, Alteryx, SQL, Azure, Python, Power BI, NLP, ERP Systems, Project Management, Data Visualization, AI-driven Anomaly Detection, Audit D&A, Cloud AI Services, Technical Debugging

Industry

Business Consulting and Services

Description

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 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 Key behavioral attributes/requirements •Excellent written and verbal communication skills. •Team player •Self-driven •Ability to work independently and motivate team players Key leadership competencies •Should drive engaged workforce and uphold positive relationships with employees, to foster a culture of collaboration, innovation, and inclusivity. •Quality: Must have the ability to oversee all aspects of quality control processes and ensure that the services provided to the clients meet the highest possible standards by being detail-oriented, analytical, and highly organized. •Continuous Improvement: Should be able to identify the areas of improvement and focus on continual improvement •Financial Knowledge: Must possess strong financial skills to ensure that the financials of their respective unit are managed to or better than budget. •Risk & Compliance: Should ensure all risk practices of the firm are compiled without any non-compliance.

Responsibilities

Lead the delivery of Audit Data & Analytics solutions, focusing on ETL processes, data transformation, and troubleshooting using AI tools. Collaborate with engagement teams and clients to extract data and present insightful analytic routines.