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Deal Data Technology & Analytics, ManagerPRICE WATERHOUSE COOPERS • New York, New York, United States
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Deal Data Technology & Analytics, Manager

PRICE WATERHOUSE COOPERS
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

The Opportunity As a Deal Data Technology & Analytics Manager, you will play a pivotal role in helping organizations leverage technology and data to drive better Deal decisions and execute transactions more effectively. Within our Deals practice, you will be part of a team that originates, creates, executes, and realizes value from mergers, acquisitions, divestitures, and capital markets. Our team consists of creative professionals who are passionate about building technology‑driven solutions and pushing the boundaries of innovation in Deals, embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal‑focused solutions.
As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
Responsibilities
Leading data‑driven initiatives to enhance decision‑making in mergers and acquisitions
Managing and guiding teams in the execution of complex data analysis and machine learning projects
Utilizing advanced data analytics tools such as Alteryx, Power BI, and Tableau to develop insightful dashboards and reports
Overseeing the integration and validation of data from multiple sources to support transaction services
Developing and implementing data quality improvement plans to maintain data integrity and security
Conducting exploratory data analysis to identify trends and opportunities for value creation
Collaborating with stakeholders to understand business needs and translate them into actionable data solutions
Coaching team members to develop their skills in data science and analytics
Simplifying complex data insights into clear, concise recommendations for clients
Upholding ethical standards and business conduct in all data‑related activities
What You Must Have
At least a Bachelor's degree
At least 4 years of experience
What Sets You Apart
Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
At least one of the following: a certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
Demonstrating proficiency in data analysis and visualization tools
Utilizing advanced skills in machine learning and predictive analytics
Managing complex data projects with a focus on client outcomes
Excelling in strategic planning and execution within data‑driven environments
Leading teams to deliver innovative solutions in analytics and technology
The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, visit https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race, color, religion, national origin, sex (including pregnancy, sexual orientation, and gender identity), age, disability, genetic information (including family medical history), veteran, marital, or citizenship status, or any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H‑1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
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  • New York, New York, United States

Compétences linguistiques

  • English
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