Design and implement frameworks and models covering lean / six sigma approaches to identify gaps and run a as-is and to-be state of data / automation maturity to build scope of automation and digitization opportunities in the services Design and apply proprietary and industry leading methodologies to process and standardize the activities across the engagement life cycle for the service lines Ability to perform maturity assessments on data management capabilities and operating models of the service lines; and advise on tools and roadmaps to implement them Build and implement cloud / on-prem solutions to help with data driven decision intelligence – this may entail working on complex ELT (extract, load, transform) techniques leading to modern data warehouse / data mart setup and establishing a business intelligence layer on it Able to build automation solutions using Power platform suite of products and identify AI opportunities for the service lines Able to handle large data volumes using most latest techniques and data tools Ability to communicate effectively with cross functional teams across GCC and coordinate b/w the core functional and technology teams Stakeholder management and experience of leading mid to large transformation opportunities to digitize the service delivery model in GCC Preparation of demo tools to a standard that can be shared directly with client serving teams Review of technical work of junior colleagues Coaching and development of junior colleagues A strong work initiative, high-energy level, and ability to adapt to new challenges and concepts, including a proactive approach and capacity to perform multiple workstreams and tasks Ability to work both independently and as part of a team, including robust communication skills Strong financial, accounting, analytical and communication skills, facilitating clear and concise messaging to teammates, clients and other technology personnel Advise stakeholders on relevant technical issues for their business area Uphold the firm's code of ethics and business conduct.
Minimum of 8-12 years related work experience in Data Engineering / Business Intelligence areas, developing end to end integrated BI tools to automate the processes in the key services 5+ years of proven experience working on MS Azure (preferred) services – Azure Data Factory, Azure Data Explorer, Azure Data lake and Databricks Strong working experience using business intelligence tools (PowerBI, Alteryx, Tableau etc) with familiarity of advanced techniques of Geo Spatial analysis and dashboarding through inbuilt or specific tools like Azure Maps, ArcGIS etc Experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services to provide an interlock for the Data Science pillar Ability to program using Python, NoSQL, PL/SQL Strong understanding of BI practices, analysis, visualization and latest trends Basic awareness on statistical techniques like linear and non-linear regressions / classification and optimization areas Working knowledge of data orchestration, ingestion, ELT, data design patterns and reporting architecture for both on-prem and cloud (MS Azure preferred) Strong experience in Merger & Acquisition domain areas like due diligence, deal structuring, financial reporting, value creation and post-merger phases A Bachelor’s degree in Engineering from tier 1 college (Master’s in Business / domain would be nice to have) Experienced in programming, business intelligence (BI) and enterprise resource systems, including data collection, analysis and presentation: Analytics and data Platforms (Azure – must have) Businesss Intelligence layer (PowerBI, Tableau etc – must have) Programming languages (Python – must have)
Superior analytical and problem-solving skills Excellent interpersonal and client relationships skills Strong written and verbal communication skills Dedication to teamwork Proficiency in Microsoft Office, with focus on Word and Excel Ability to adapt to ever changing client demands Flexibility to travel, as needed Supervisory experience, willingness to mentor team members and contribute towards scaling up the practice.
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