Apply proprietary and industry leading methodologies to process and standardize the activities across the engagement life cycle for the service lines Able to 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 Build and implement cloud / on-prem solutions to help with data driven decision intelligence – this may entail working on low to mid complexity ELT (extract, load, transform) techniques leading to 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 Ability to communicate effectively with cross functional teams across GCC 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 Good exposure on financial, accounting, analytical and communication skills, facilitating clear and concise messaging to teammates, clients and other technology personnel Uphold the firm's code of ethics and business conduct.
Minimum of 3-5 years related work experience in PL/SQL / Business Intelligence areas, developing an end to end integrated BI tools to automate the processes in the key services 2+ years of proven experience working on MS Azure (preferred) services – Azure Data Factory, Azure Data Explorer, Storage, Azure Data lake, Synapse Analytics, Azure Analysis services 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 Awareness of 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 Good understanding of BI practices, analysis, visualization and latest trends Basic awareness on statistical techniques like linear and non-linear regressions / classification and optimization areas Awareness of data orchestration, ingestion, ELT, data design patterns and reporting architecture for both on-prem and cloud (MS Azure preferred) Experienced 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 (preferred Azure) Businesss Intelligence layer (PowerBI – 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
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