DATA SCIENCE ANALYST (IVR/CHATBOT)

The Select Group is currently hiring for a Data Analyst to join as a resource for one of our clients within the Telecommunications industry that will be working a hybrid schedule local to the Charlotte metro area. This Analyst will be supporting the external Conversational IVR/Chatbot initiative specifically focusing on understanding data insights of the platform to improve the overall experience for customers. This role entails creating data pipelines from internal databases using Python and SQL to manipulate and standardize the data before it is inputted into visualization tools to create dashboards and reports to drive insights for the technical teams to make researched decisions on. If this is something you are a fit for and interested in please apply today!

DATA SCIENCE ANALYST (IVR/CHATBOT) REQUIREMENTS:

• Previous experience developing data pipelines focused on ETL needs to manipulate and validate data as needed for understanding customer behavior or customer pain points with the IVR system currently in place
• Proven ability to utilize Power BI and Tableau for data visualization needs – driving business insights through research driven data analysis and data investigations
• Proficient tracking data sources, pulling relevant data needed, and building dashboards/reports to tell the story of the data captured
• Experience with relational databases and knowledge of query tools and/or statistical software
• Previous experience with conversational chatbots or other phone related AI conversational technologies in the past
• Strong analytical and organizational skills for creating presentation decks and possess the ability to present findings

PLUS SKILLS:

• Experience supporting projects/analyzing data related to an (IVR) Interactive Voice Response system or Messaging Chatbot
• Telecommunications Industry Experience within the last 5 years

DATA SCIENCE ANALYST (IVR/CHATBOT) RESPONSIBILITIES:

• Performs data collection, analysis, validation and reporting.
• Designs, tests, and documents processes, SQL queries, and stored procedures.
• Extracts and analyzes data from various sources, including databases, manual files, and external websites.
• Responds to data inquiries from various groups within an organization.
• Creates and publishes regularly scheduled and ad hoc reports.
• Documents reporting requirements and processes and validates data components as required.