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

• 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.

• 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

• 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