M&A Data Analytics Manager

About the role

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges in complex and highly regulated environments, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions.

Responsibilities

• Serve client M&A deal teams by gathering, analyzing, validating, and normalizing transactional, commercial, and operational data (e.g., product-level sales, claims data, rebate and chargeback data, inventory, pipeline, and customer/channel data) to develop and test hypotheses for M&A deals.
• Work as part of cross-functional teams providing financial, accounting, operational, and commercial due diligence in regulated life sciences and healthcare environments.
• Analyze data to assess revenue quality, pricing realization, reimbursement exposure, and operational performance, utilizing visual analytics to tell a compelling story of findings.
• Use business intelligence tools and data analytics to provide meaningful insights crucial to clients' deal investment hypotheses.
• Leverage client service skills to interact directly with C-suite and private equity executives, advising on critical aspects of M&A transactions across various industries.
• Coordinate with client business and IT personnel to identify, collect, and validate transactional and operational data within highly regulated environments.
• Assess revenue quality, payer mix, reimbursement exposure, and contract dynamics within healthcare services and medical products businesses.
• Design and develop visualizations and dashboards that deliver crucial financial and operational buy- and sell-side insights.
• Analyze financial and key performance indicator deal data for trends and outliers.
• Lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations for client deliverables.

Skills

• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to mentor and provide clear guidance to others.

Qualifications

Required:

• Bachelor's Degree in Accounting, Finance, Mathematics, Statistics, Economics, or similar.
• Minimum 5 years of experience analyzing large datasets.
• Experience analyzing or managing accounting, financial, or transactional data.
• Strong understanding of multiple business cycles (e.g., Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.).
• Demonstrated knowledge of business analytics and relational database concepts.
• Experience leveraging AI tools to extract and visualize insights from large data sets.
• Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.).
• Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.).
• Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Preferred:

• Prior experience at a large or mid-size consulting firm focused on finance or accounting services.
• Minimum of 2+ years of experience managing teams in a consulting environment.
• Strong working knowledge of data structures and database design.
• Knowledge of how to use programming languages for data analyses: SQL, Python, R, or other languages.
• Experience presenting recommendations to senior executive stakeholders.
• Master of Business Administration or similar degree.
• CPA, CA certification.

Pay

The wage range for this role takes into account a wide range of factors including skill sets, experience, training, licensure, certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A reasonable estimate of the current range is $141,200 to $278,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, where an award, if any, depends on various factors, including individual and organizational performance.