Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

Overview

As a Front Office Strategy Consulting - PLS Customer Analytics Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data‑driven decision‑making within our Management Consulting practice.

You will focus on data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. You will build meaningful client connections, manage relationships, anticipate client needs, and grow your technical and personal brand. You will contribute to optimizing client operations and achieving strategic goals by interpreting data to inform insights and recommendations.

• Leveraging advanced analytics techniques to extract insights from large datasets and drive data‑driven decision‑making
• Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
• Building meaningful client connections and managing relationships to anticipate and address client needs
• Navigating complex situations to grow personal brand and deepen technical skills
• Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
• Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
• Integrating data from various sources to enhance data quality and integrity
• Validating data security and compliance within analytics frameworks
• Creating dashboards and reports to communicate findings effectively to stakeholders
• Mentoring junior team members and guiding them in the use of data analysis tools and methodologies

What You Must Have

• At least a bachelor’s degree
• At least 3 years of experience

What Sets You Apart

• Preferred fields of study:
  Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
• Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
• Proficiency in data analysis and visualization tools
• Advanced skills in predictive analytics and machine learning
• Experience in customer analytics and forecasting methodologies
• Ability to navigate complex data environments easily
• Strong communication skills for building client relationships

Up to 60%

Salary range: $77,000 - $202,000. Compensation within the range is based on skills, experience, qualifications, and location. All hired individuals are eligible for an annual discretionary bonus. Benefits include medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more.

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, veteran or marital status, or any other status protected by law.