Executive - Data Analytics

•Proposed designation: Executive

•Role type: Individual contributor

•Reporting to : Assistant Manager

 •Geo to be supported:Germany

•Work timings: 11.30 to 8 or as per business requirement

•Work mode: Hybrid

Responsibilities

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 (Mindbridge) D&A tool and KCw Data Workbench (e.g., Planning Analytics, Journal Entry 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 of Guidance and Training Materials

•Audit D&A Solution Delivery – 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

•Using analytic & visualization tools (Data Bricks, .NET, SQL, Azure, 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.

Qualifications

This role is for you if you have  the below

Educational qualifications

 

•Btech or Bachelor’s in Computer Application

•ERP/ Data Analytics experience

Work experience

•Up to 1 year 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

Mandatory  technical & functional skills

•Experience in ETL & Data Analytics tools like – Advanced Excel, Alteryx, Power BI, SQL, Azure

•Be a critical thinker with strong analytical and problem-solving skills

•Be comfortable with manipulating and combining large, high dimensional datasets from multiple sources

Key behavioural 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.