Front Office Strategy Consulting - PLS Customer Analytics - Manager

· Remote

Location

Remote

Type

Full Time

Job Description

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Front Office Strategy Consulting - PLS Customer Analytics - Manager

Front Office Strategy Consulting - PLS Customer Analytics - Manager

Posted 20 Minutes Ago
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9 Locations
Hybrid
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Lead customer analytics engagements using data manipulation visualization statistical and predictive modeling. Build and maintain data pipelines deploy scalable Power BI/Tableau solutions manage and mentor teams collaborate with client leadership to identify opportunities and drive technology-enabled data-driven decisions.
Summary Generated by Built In
The Opportunity
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
- Leading data analysis initiatives to extract insights and drive data-driven decision-making for clients
- Utilizing advanced analytics techniques to optimize client operations and achieve strategic goals
- Managing and mentoring teams to leverage their strengths and deliver quality outcomes
- Developing and implementing data manipulation visualization and statistical modeling strategies
- Building and maintaining data pipelines and confirming data integrity and security
- Creating and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting complex data analysis and predictive modeling to support client needs
- Collaborating with client leadership to identify opportunities for data-driven improvements
- Encouraging innovation and embracing technology to enhance project delivery
- Addressing conflicts and engaging in critical conversations with stakeholders to maintain project alignment
What You Must Have
- At least a Bachelor's degree
- At least 5 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 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: $99000 - $232000. 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: https://pwc.to/benefits-at-a-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: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-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 these factors thoughtfully to establish a secure and trusted workplace for all.

Skills Required

  • Bachelor's degree
  • 5+ years of experience
  • Degree in Accounting Engineering Data Analytics/Science Computer and Information Science Economics or Finance
  • Certification or experience with Databricks MS SQL Power BI AWS Azure GCP Python or SAS
  • Proficiency with Tableau
  • Experience with data manipulation visualization and statistical modeling
  • Experience building and maintaining data pipelines and ensuring data integrity/security
  • Experience creating and deploying scalable analytics and visualization solutions
  • Experience conducting complex data analysis and predictive modeling
  • Experience managing mentoring and developing teams

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The Company
HQ: New York NY
370000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance Advisory and Tax — powered by a global network of over 370000 people in 149 countries. You may know us for our business expertise but technology is core to how we help clients move faster build trust and deliver meaningful outcomes. As a technologist you’ll work on agile teams with experienced engineers and product thinkers — using AI cloud cybersecurity and more to design scalable real-world solutions. You’ll keep learning stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC our professionals include technologists engineers programmers and consultants working across AI cloud cybersecurity data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity unlocking value and shaping a more agile data-driven future.

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Date Posted

06/27/2026

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