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. 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.

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

• A Bachelor's degree
• At least 3 years of experience

What Sets You Apart

• Preference for a degree in Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, or Finance
• Experience with 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
• Expertise in customer analytics and forecasting methodologies
• Ability to navigate complex data environments with ease
• Strong ability to build meaningful client relationships through effective communication

Pay

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

Locations

• New York
• Los Angeles
• Atlanta
• Charlotte
• Chicago
• Boston
• Dallas
• San Francisco
• Seattle