Contact Center Data Analyst

Job summary

CONTACT CENTER DATA ANALYST This position is not eligible for employer sponsorship. To ensure a fair and consistent evaluation process, candidates are expected to complete all interviews and assessments independently and without the use of artificial intelligence tools (including AI-generated responses, prompts, or real-time assistance).

Qualifications

• gather and validate information, apply judgment and statistical tests.
• Observe the current system in operation and gather and analyze information about each of the component problems, using a variety of sources.
• Breakdown systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
• Design, conduct, and evaluate experimental operational models in cases where models cannot be developed from existing data.
• Educate staff in the use of mathematical models.
• Specify manipulative or computational methods to be applied to models.
• Develop and apply time and cost networks to plan, control, and review large projects.
• Develop business methods and procedures, including accounting systems, file systems, logistics systems, and production schedules.
• Master’s degree from an accredited college/university in Business Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields, with 3 years of relevant experience
• Proven experience in SQL and Python
• Proven experience in Power BI and Databricks
• Proven experience processing and analyzing structured and unstructured data

Responsibilities

• Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs
• Creating interactive and drill-down dashboards to deliver key trends and insights to stakeholders
• Working with leaders and domain experts to identify business needs, create an analysis plan, identify deliverables, and communicate key insights
• Designing and implementing the data science model appropriate to the business challenge (classification, regression, unsupervised learning, recommendation systems, sentiment analysis, neural network, etc.)
• Communicating complex technical concepts to stakeholders with confidence and integrity
• Working with business stakeholders to determine metrics for evaluating the models
• Working with data engineers to create datasets for insight and prediction
• Building data visualizations, reports, and presentations
• Rapidly learning and implementing new
• under pressure and functioning independently
• Relevant tasks:
• Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.

Skills

Degrees

Travel

Industry

Company size

Contract length