M&A Data Analytics Manager

Manager, Strategy, Growth, And Transformation

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 creating lasting impact.

Work you'll do: As a Manager, Strategy, Growth, and Transformation on the M&A team, you will be a key member serving client M&A deal teams through 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 a given M&A deal. You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in regulated life sciences and healthcare environments and utilize your visual analytics skills to tell a compelling story of our findings around revenue quality, pricing realization, reimbursement exposure, and operational performance. You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transactions within 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 & key performance indicator deal data for trends and outliers Directly advise clients Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a 'back-office' position; this is front-line client interaction with significant opportunity for growth and advancement. You will also lead and mentor a team of consultants, fostering professional development, promoting collaboration, and establishing clear expectations when working together towards client deliverables on projects.

A successful candidate would possess these 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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and 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. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. 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, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at View email address on click.appcast.io.