Our Sales Planning team is looking for a Data Scientist to explore customer journey touchpoints, develop dashboards and reports that drive meaningful change in our Call Center. You’ll use your business acumen to turn data-driven insights and analysis into actionable strategies that enhance performance and customer experience.

RESPONSIBILITIES


Write SQL queries and Python code to retrieve, process, and analyze large datasets.
Construct efficient multi-threaded data models from large data sets.
Develop dashboards and create visual reports for both daily operations and executive-level insights.
Apply statistical analysis, predictive/prescriptive modeling, and forecasting to uncover business insights.
Analyze customer journey touchpoints to identify trends, behavior patterns, and areas for improvement.
Make data backed recommendations on Contact Center programs.
Correlate omnichannel data for KPI tracking and manage cross-platform reporting.
Collaborate with stakeholders to understand business needs and deliver clear, actionable solutions.


Requirements


A bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field
At least 2 years of experience in an analytical role
Advanced experience with SQL, Python, building data models, data validation, and QA
Strong data mining skills with an understanding of cross-platform integrations
Excellent Excel and PowerPoint skills
Strong attention to detail, analytical skills, and the ability to manage multiple tasks
Comfortable working in a fast-paced, dynamic environment with shifting priorities
Strong written and verbal communication skills, with a solid analytical mindset
Experience with Power BI, Azure Data Lake, Databricks, visual analytics, omnichannel data, Azure Cognitive Services, speech analytics, and sentiment analysis is a plus