Data Scientist
Tatu City, Kiambu County, KenyaRemote
AI Summary
A Data Scientist who explores customer journey touchpoints, builds data models, and develops dashboards and reports to drive performance and improve customer experience in a call center environment.
About this role
Do you enjoy telling stories through data and working with large datasets?
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
Skills
Azure Cognitive ServicesAzure Data LakeDatabricksData ModelingData ValidationOmnichannel DataPower BIPythonQASentiment AnalysisSpeech AnalyticsSQL
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