Senior Consultant, Decision Intelligence; Data Strategy​/Engg, BI

Position: Senior Consultant, Decision Intelligence (Data Strategy/Engg, BI)
In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity—not just answers—in all areas of business. We embrace diverse backgrounds and global perspectives, and we cultivate diversity by respecting, including, and valuing one another.

As part  of One team, One Kroll , you'll contribute to a supportive and collaborative work environment that empowers you to excel.

Kroll's Decision Intelligence Services provides seamless analytical advisory through the deal continuum, from transaction origination to closing.

We are looking at a Sr. Consultant, with proficiency in Data Strategy, Architecture, Engineering and Business Intelligence, to scale our Data, Analytics and AI team and offer industry/sector solutions (financial services, consumer, retail, healthcare) in addition to help build cloud based automation tools to accelerate due diligence, data driven insights and optimization models used in the service delivery.

This, being a core client facing delivery role, offers global exposure of working with other Kroll colleagues, across industries and competencies, with interesting client interactions and opportunities for medium and long term career progression.

At Kroll, your work will help deliver clarity to our clients' most complex governance, risk, and transparency challenges. Apply now to join  One team, One Kroll .

Responsibilities

Apply proprietary and industry leading methodologies to process and govern data assets for the client in a transaction or value creation opportunity

Able to implement frameworks and models covering data strategy components including but not limited to data governance, data quality, data monetization, data consumption and enterprise data management
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 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
Ability to communicate effectively with cross functional teams across regions and coordinate b/w the core functional and technology teams
Stakeholder management and experience of leading mid market deals from analytics point
Preparation of demo tools to a standard that can be shared directly with clients
Direct client engagement delivery.
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 work streams and tasks
A desire and ability to travel while working within the transaction advisory, financial accounting advisory and mergers and acquisition-oriented environment
Assisting clients with building solutions to unlock 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
Uphold the firm's code of ethics and business conduct.

Requirements

Minimum of 5-9 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

4 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 (Power

BI, Alteryx, Tableau etc) with familiarity of…