Job description
JOB Title: Data Engineer
Working Experience: 5+ years
Key Skills : SQL, Python, Data Visualization, ETL, Celonis , ERP Systems, data extraction, data analysis, reporting, etc.
Role & responsibilities
- Experience with SQL, database technologies, ETL, and/or programming (Java, Python, R, etc.)
- Experience working with ERP systems (e.g. Microsoft, Oracle, SAP), data extraction, data analysis, reporting, etc.
- Process mapping and identifying non value add steps to create lean and agile processes.
- Responsible for identifying business problem areas and aligning themselves to the pain areas through Continuous Improvement Projects
- Strengthen and enhance internal processes to make them more efficient and effective by identify process improvement/re-engineering opportunities.
- Help our clients to simplify and improve their operations by developing business cases, analysing clients as-is processes and create end-to-end automation solution blueprints
- Responsible for working with the clients Business excellence & Operations teams to hunt down processes for RPA & conducting initial RPA process investigation, priority, assessment & fitment analysis. You will be responsible for PDD (Process design document)
- Provide quality consulting service by applying PDCA, lean, 6 sigma and other relevant quality methodologies with the objective to reduce cost/cycle time, improve productivity, increase revenue, improve product/service quality, and/or realign organizational practices with business strategies
- Hands-on experience on Celonis Process Mining/UI Path Process Mining/ Signavio Process Mining/Minit Process mining or any other process mining tool experience
- Ability to identify opportunities, create solutions, present them as business cases to key stakeholders and execute the solution proposed.
- Understanding of key customer processes, such as Order-to-Cash, Procure-to-Pay, Issue-to-Resolution, etc.
Role: Data Science & Analytics - Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
Education
UG: B.Tech/B.E. in Any Specialization
