Front Office Strategy Consulting - PLS Customer Analytics - Manager
Listed on 2026-07-06
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
The Opportunity
Specialty/
Competency:
Customer
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 60%
As a Manager in Front Office Strategy Consulting within our Customer Analytics practice, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will utilize skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring 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.
In this role at PwC, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will partner with team leadership to validate collective ownership of quality, timelines, and deliverables. Embracing technology and innovation, you will enhance your delivery and encourage others to do the same, fostering a culture of continuous improvement and innovation.
Responsibilities- 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 visualization tools like Tableau
- Utilizing advanced data analytics techniques for customer insights
- Excelling in complex data analysis and predictive modeling
- Leading teams in strategic planning and execution
- Embracing technology and innovation in client solutions
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, please visit the following link: (Use the "Apply for this Job" box below).-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: .
Learn more about how we work: -work
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…
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