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Vice President - Decision Intelligence (Data Strategy / Engg, BI)

Vice President - Decision Intelligence (Data Strategy / Engg, BI)

ConfidentialDelhi
9 days ago
Job description

RESPONSIBILITIES :

  • Design and apply methodologies to process and govern data assets for the client in a transaction or value creation opportunity
  • Able to build frameworks and models to implement data strategy components including but not limited to data governance, data quality, data monetization, data consumption and enterprise data management
  • Ability to perform maturity assessments on data management capabilities and operating models of the client; and advise on tools and roadmaps to implement them
  • Build, review 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 handle large data volumes using most latest techniques and data tools
  • Work on buy / sell-side due diligence engagements; with a strong understanding of sector and functions to be able to identify value creation opportunities for analytics application
  • Hands on deliver and manage mid to large size deals and ensure smooth delivery on assigned engagements, products with regions
  • As a SVP / VP, you would also be required to provide expert reviews and thought leadership on your areas of specializing including helping mentor, build and scale the team
  • Ability to communicate effectively with cross functional teams across regions and act as techno-functional bridge to coordinate b / w the core functional and technology teams
  • Go to Market / Stakeholder management and experience of leading mid market deals from analytics point
  • Preparation of pursuit materials, demo tools to a standard that can be shared directly with clients
  • Direct client engagement both on pre-sales activities, competitive pursuit / presentation situations and client engagement delivery.
  • 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
  • A desire and ability to travel while working within the transaction advisory, financial accounting advisory and mergers and acquisition-oriented environment
  • Experience of assisting clients with building business cases and identifying value using data-driven approaches and business intelligence
  • 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 firms code of ethics and business conduct.

REQUIREMENTS :

  • Minimum of 12-16 years related work experience in Data Engineering / Business Intelligence areas, developing and implementing data as an asset service and end to end integrated BI tools to deliver key insights on projects
  • 8+ 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
  • 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 Data Strategy, Architecture and BI practices, analysis, visualization and latest trends
  • Awareness on statistical techniques like linear and non-linear regressions / classification and optimization areas
  • Strong experience on 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 (AWS, Azure, Snowflake  any one or more of these, preferred Azure  )
  • Businesss Intelligence layer (PowerBI, Tableau etc  must have  )
  • Programming languages (Python  good to 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.
  • TECHNICAL Requirements :

    Should have in depth understanding on one more industry / sectors and associated KPIs from a transaction lens; across the entire deal life cycle

  • Analyzing cyclicality of target s business and working capital trends
  • Analyzing quality of earnings and non-recurring items
  • Able to run business performance management techniques including financial reporting, scenario and optimization models
  • Participating in discussions held with Management to determine data analytics needs, data requests and potential impacts on the buy-side / sell-side diligence process, as well as prospective on-going projects
  • Skills Required

    Data Governance, Data Strategy, Data Quality, Business Intelligence, ELT, Data Architecture

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