Lead Product Analytics Consultant at Wells Fargo analyzing customer interactions with a focus on cloud data platforms and NLP techniques. Collaborating with teams to enhance decision-making and operational efficiency.
Responsibilities
Collect, clean, and analyze contact center performance data from multiple sources (CRM, telephony systems, workforce management tools).
Develop KPIs and insights such as Average Handle Time (AHT), Service Level, First Call Resolution (FCR), and Customer Satisfaction (CSAT).
Identify trends, anomalies, and root causes impacting operational performance.
Provide actionable insights to improve agent productivity, call routing efficiency, and overall customer experience.
Partner with operations leaders to recommend process improvements based on data-driven findings.
Forecast call volumes and staffing needs using historical data and predictive models.
Design and implement analytics solutions for cloud-native applications and services.
Collect, process, and analyze product usage data from distributed cloud environments.
Collaborate with product managers, engineers, and data teams to define key metrics and success criteria.
Build and maintain scalable data pipelines leveraging cloud-native tools (e.g., Azure, GCP).
Present analytical findings to leadership in clear, actionable formats.
Translate complex data into business-friendly insights for non-technical stakeholders.
Develop SQL queries and analyze call transcriptions to identify patterns and trends.
Use speech analytics tools and NLP frameworks—including machine learning—to extract insights from customer interactions and recommend business improvements.
Debug and optimize complex queries, leveraging AI coding tools to enhance productivity.
Mentor other analytics consultants in NLP techniques, cloud-native coding practices (e.g., GCP), and result interpretation.
Requirements
5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Fluent in Spanish.
4+ years of SQL experience.
Experience with industry-standard speech analytics tools (e.g., Nexidia, Verint).
4+ years of hands-on experience with Python or R.
Knowledge of statistical research methods and analysis.
2+ years leading projects independently from ideation to delivery
Strong data visualization skills using tools like PowerPoint, Think-cell, Looker, Tableau, Flask/Shiny, Matplotlib, or GGPlot.
Experience querying databases and creating ad hoc reports in Google Cloud Platform (GCP).
Ability to perform root-cause analysis for process improvements.
Ability to thrive in a fast-paced, high-demand environment while managing multiple priorities.
Benefits
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
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