Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

The Opportunity:

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.

In this role you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. You will build meaningful client connections, manage and inspire others, and grow your personal brand.

• 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

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

• 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 predictive analytics and machine learning
• Excelling in customer analytics and forecasting methodologies
• Navigating complex data environments with ease
• Building meaningful client relationships through effective communication

Up to 60% travel may be required.

Salary range: $77,000 - $202,000. 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, 401(k), holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit (Use the "Apply for this Job" box below)..

PwC is an equal‑opportunity employer; all qualified applicants will receive consideration for employment 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: .

For qualified applicants 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. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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