Job Roles & Responsibilities :
- Engagement Leadership & Project Management :
- 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 & Solution Development :
- Apply advanced data analytics techniques, tools, and methodologies (e.g., Python, R, SQL, Tableau, Power BI) to develop innovative solutions for complex disputes and investigations.
- 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 & Risk Management :
- 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 client satisfaction.
- Practice Development & Business Growth :
- 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 & Stakeholder Management :
- 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 relevant experience :
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 PE clientsExperience working on data intensive fraud investigations and implementation of pro-active risk platformsProven experience in leveraging technology for automation productsProven 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 on engagements.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.Skills Required
Machine Learning, Data Visualization, Data Mining, Big Data, Data Warehousing, Dashboarding, Sql, Python, Statistical Analysis, Etl