Deal Data & Analytics Leader for Tech-Driven M&A

PwC; Washington (District of Columbia); On-site; USD 99,000 - 232,000; Full time

Benefits offered by this job

Annual discretionary bonus

Medical insurance

Dental insurance

Vision insurance

401k

Job summary

PwC's Deals practice seeks a Deal Data Technology & Analytics Manager to lead data-driven initiatives supporting M&A decision-making and transaction execution. You will guide teams, manage client projects, and apply advanced analytics tools to deliver insightful dashboards and data products.

Responsibilities include mentoring staff, ensuring data quality and security, and translating complex insights into actionable client recommendations.

Qualifications

• Bachelor's degree required.
• Minimum 4 years of experience in data analytics or related field.
• Proven ability to lead data-driven projects and teams.

Responsibilities

• Lead data-driven initiatives to enhance deal decision-making in mergers and acquisitions.
• Manage and mentor teams delivering complex data analytics and ML projects.
• Develop dashboards/reports using Alteryx, Power BI and Tableau.
• Oversee data integration/validation from multiple sources for transactions.
• Drive data quality and security improvement plans.
• Translate business needs into actionable data solutions for clients.
• Coach team members to grow in data science and analytics.
• Present clear recommendations from complex data insights to clients.

Skills

Data analysis

Leadership

Mentoring

Client management

Strategic planning

Data storytelling

Data governance

Education

Bachelor's degree

Tools

Alteryx

Power BI

Tableau

Databricks

Python

MS SQL

AWS/Azure/GCP

Job description

PwC's Deals practice seeks a Deal Data Technology & Analytics Manager to lead data-driven initiatives supporting M&A decision-making and transaction execution. You will guide teams, manage client projects, and apply advanced analytics tools to deliver insightful dashboards and data products.

Responsibilities include mentoring staff, ensuring data quality and security, and translating complex insights into actionable client recommendations.