Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

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. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.

In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.

Responsibilities

• 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

• 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

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $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, 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.