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Manager - Data Analytics

Manager - Data Analytics

ConfidentialMumbai City, Navi Mumbai, Mumbai
1 day ago
Job description

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 clients
  • Experience working on data intensive fraud investigations and implementation of pro-active risk platforms
  • Proven experience in leveraging technology for automation products
  • 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 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

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