Deal Data Technology & Analytics, Manager

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