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Senior Associate, Front Office Strategy Consulting – Customer Analytics
PwCSenior Associate utilizing advanced analytics techniques to drive data-driven decision-making at PwC. Building client connections, conducting analysis, and mentoring team members.
Posted 6/26/2026full-timeCalifornia, Illinois, New York, North Carolina • 🇺🇸 United StatesSenior💰 $77,000 - $202,000 per yearWebsite
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
data manipulationdata visualizationstatistical modelingpredictive modelingexploratory data analysisdata analysispredictive analyticsmachine learning
Soft Skills
client relationship managementmentoring
Tools & Technologies
Power BITableauDatabricksMS SQLAWSAzureGCP
Certifications & Qualifications
database certificationvisualization tools certificationcloud platforms certificationpredictive modeling certification
Industry Keywords
data processingdata sciencecustomer analyticsforecasting methodologies
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
About the role
Key responsibilities & impact- Leverage advanced analytics techniques to extract insights from large datasets
- Utilize skills in data manipulation, visualization, and statistical modeling to support clients
- Build meaningful client connections and manage relationships
- Develop and deploy scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conduct exploratory data analysis and predictive modeling
- Create dashboards and reports to communicate findings to stakeholders
- Mentor junior team members in data analysis tools and methodologies
Requirements
What you’ll need- At least a Bachelor's degree
- At least 3 years of experience
- Preference for fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- Certification in 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
- Customer analytics and forecasting methodologies
Benefits
Comp & perks- medical
- dental
- vision
- 401k
- holiday pay
- vacation
- personal and family sick leave
- annual discretionary bonus