Manager - Data Analytics

Job Roles &Responsibilities:

• Engagement Leadership & ProjectManagement:

• Lead end-to-end delivery of data analytics engagements integrated, managing client relationships, timelines, budgets, and scope.
• Ensure the timely and high-quality execution of deliverables, from data collection and analysis to final reporting and presentations.
• Serve as the main point of contact for clients, effectively managing expectations, addressing concerns, and providing strategic insights.

Technical Excellence & SolutionDevelopment:

• Apply advanced data analytics techniques, tools, and methodologies (e.g., Python, R, SQL, Tableau, Power BI) to develop innovative solutions for complex disputes andinvestigations.
• Oversee the development of data-driven insights and reports that address client needs, ensuring both technical accuracy and business relevance.
• Drive the use of cutting-edge analytics tools, machine learning models, and AI-driven solutions to enhance the value of our offerings.

Team Leadership &Mentoring:

• Mentor and manage junior data analysts and interns, providing guidance on both technical and professional development.
• Foster a collaborative and supportive team environment that encourages knowledge sharing, innovation, and continuous improvement.
• Conduct regular performance reviews and offer constructive feedback to enhance the team's skills and contributions.

Quality Assurance & RiskManagement:

• Ensure the delivery of high-quality, accurate, and actionable work products by reviewing analysis, reports, and presentations before they are shared with clients.
• Develop and implement best practices for data analytics and reporting, ensuring consistency and technical superiority across engagements.
• Proactively identify and mitigate risks related to data quality, project timelines, and clientsatisfaction.

Practice Development & BusinessGrowth:

• Contribute to the development of the Data Analytics practice by identifying opportunities for service expansion, process improvements, and new business development.
• Collaborate with senior leadership to build and enhance the firm's reputation in the Disputes & Investigations market, including thought leadership and marketing initiatives.
• Support the recruitment and training of new team members, ensuring the practice continues to build strong technical capabilities.

Client & StakeholderManagement:

• Build strong relationships with clients, understanding their business needs and helping them navigate through data-driven insights for dispute resolution or investigation purposes.
• Work closely with senior leadership, consultants, and subject-matter experts to deliver tailored solutions that meet client expectations and objectives.
• Ensure seamless communication across multiple teams and client stakeholders, ensuring alignment throughout the engagement lifecycle.

Qualifications and relevantexperience:

• 5+ years of experience in data analytics, management consulting, or related fields, with a focus on disputes, investigations, or forensic analysis. Experience with consulting business at Big4 firms would be preferred.
• Experience working on data analytics led forensic due diligence engagements for PEclients
• Experience working on data intensive fraud investigations and implementation of pro-active riskplatforms
• Proven experience in leveraging technology for automationproducts
• Proven track record of leading complex, data-driven projects from inception to completion, with hands-on experience in managing client relationships and delivering high-quality work products.
• Expertise in data analytics tools and techniques, including but not limited to Python, R, SQL, Tableau, Power BI, and machine learning models.
• Ability to perform hand on work onengagements.
• Strong understanding of the legal, regulatory, and financial landscape related to disputes and investigations is highly preferred.
• Exceptional problem-solving and analytical thinking capabilities, with the ability to translate complex data into actionable insights.
• Proven ability to mentor and lead teams, with experience in managing people, providing feedback, and fostering professional development.
• Excellent communication skills, both written and verbal, with the ability to interact with clients, senior stakeholders, and team members effectively.
• Ability to thrive in a fast-paced, client-driven environment, balancing multiple priorities and delivering under tight deadlines.