▷ 15h Left Senior Consultant, Decision Intelligence

Job Description

RESPONSIBILITIES:

- Apply proprietary and industry-leading methodologies to process and govern data assets for clients in transactions or value creation opportunities.
- Implement frameworks covering data strategy components, including data governance, data quality, data monetization, data consumption, and enterprise data management.
- Build and implement cloud/on-prem solutions for data-driven decision intelligence, including working with complex ELT (extract, load, transform) techniques, setting up modern data warehouses/data marts, and establishing business intelligence layers.
- Manage large data volumes using advanced techniques and data tools.
- Work on buy/sell-side due diligence engagements with a deep understanding of the sector and functions to identify value creation opportunities for analytics applications.
- Deliver and manage mid to large-size deals, ensuring smooth delivery across assigned engagements and regions.
- Communicate effectively with cross-functional teams across regions, coordinating between core functional and technology teams.
- Lead stakeholder management and experience with mid-market deals, particularly from an analytics perspective.
- Prepare demo tools to a high standard for client presentations.
- Direct client engagement and delivery.
- Demonstrate strong work initiative, high energy, adaptability to new challenges, proactive approach, and ability to manage multiple workstreams.
- Willingness and ability to travel while working within transaction advisory, financial accounting advisory, and mergers and acquisitions environments.
- Assist clients in building solutions that unlock value using data-driven approaches and business intelligence.
- Ability to work independently or as part of a team with strong communication skills.
- Possess strong financial, accounting, analytical, and communication skills, facilitating clear and concise messaging with clients and technology personnel.
- Uphold the firm's code of ethics and business conduct.

REQUIREMENTS:

- 5-9 years of experience in Data Engineering/Business Intelligence, focusing on developing and implementing data as an asset service and end-to-end integrated BI tools to deliver key project insights.
- At least 4 years of experience working with MS Azure services (preferred), including Azure Data Factory, Azure Data Explorer, Azure Data Lake, Synapse Analytics, Azure Analysis Services, and Databricks.
- Strong working experience with business intelligence tools such as PowerBI, Alteryx, Tableau, and familiarity with advanced techniques for Geo-Spatial analysis and dashboarding using tools like Azure Maps and ArcGIS.
- Experience with MS Azure-based deployment, with foundational knowledge of Azure Cognitive Services to interlock with the Data Science pillar.
- Ability to program using Python, NoSQL, and PL/SQL.
- Strong understanding of BI practices, analysis, visualization, and emerging trends.
- Basic knowledge of statistical techniques such as linear and non-linear regressions, classification, and optimization.
- 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 the Mergers & Acquisitions domain, including due diligence, deal structuring, financial reporting, value creation, and post-merger phases.
- A Bachelor's degree in Engineering from a tier-1 college (Master's in Business/Domain preferred).
- Experienced in programming, business intelligence (BI), and enterprise resource systems, including data collection, analysis, and presentation.
- Familiarity with analytics and data platforms (AWS, Azure, Snowflake), with a preference for Azure.
- Experience with Business Intelligence layers (PowerBI, Tableau).
- Strong programming skills in Python.
- Superior analytical and problem-solving abilities.
- Excellent interpersonal and client relationship management skills.
- Strong written and verbal communication skills.
- Dedication to teamwork and adaptability to changing client demands.
- Proficiency in Microsoft Office, with a focus on Word and Excel.
- Flexibility to travel as needed.