RESPONSIBILITIES

• Write SQL queries and python code for pulling and working with large data sets.
• Construct efficient multi-threaded data models from large data sets.
• Create visual representations of data for executive reporting.
• Build dashboards for daily operational usage.
• Utilize Statistical analysis, Predictive and Prescriptive modeling, and forecasting to provide business insights.
• Design analytical models to identify areas of improvement, optimization of operational efficiencies, and increased revenue.
• Analyze customer touchpoints with the Contact Center.
• Identify trends and patterns in customer behaviors.
• Make data backed recommendations on Contact Center programs.
• Manage cross-platform reporting and data processing.
• Correlate omnichannel data for KPI tracking.
• Create and maintain data repositories.
• Work with stakeholders to identify needs and implement solutions.
• Clearly communicate understandings of business needs, results, and solutions.

Requirements

SKILLS AND EXPERIENCE

• Bachelor’s Degree from an accredited University.
• Minimum of 2 years of experience in an analytical role.
• Advanced experience with SQL, Python, building data models, data validation, and QA.
• Preferred experience with Power BI, Azure Data Lake, Databricks, and Visual Analytics.
• Preferred experience with omnichannel data and Azure Cognitive Services.
• Working knowledge of Excel and Powerpoint.
• Prior experience with speech analytics and sentiment analysis is a plus.
• Ability to work in a fast-paced dynamic environment with shifting priorities.
• Must have excellent attention to detail, strong analytical skills, and the ability to prioritize multiple tasks.
• Strong data mining skills with the ability to understand cross-platform integrations.
• Excellent written and verbal communication skills with an aptitude for analytical thinking.
• Must be proactive, self-motivated, and be able to work both independently and collaboratively.