Data Analyst
Genesys
AWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformNoSQLPythonSQLTableau
About the role
- Develop, examine, extract, and transform data pipelines to increase efficiency, inform decision-making, and gain a competitive edge
- Conduct descriptive analysis on data to detect data quality problems
- Perform advanced statistical analysis on experimental or business data to confirm and quantify trends or patterns identified by the business
- Create predictive/prescriptive models, algorithms, and probability engines to support data analysis or product functions
- Support tactical decision-making by using predictive and prescriptive modeling and extracting actionable insights by identifying patterns in structured and unstructured data like images
- Evaluate the model and algorithm effectiveness based on real-world outcomes
- Design experiments and methodologies to generate and collect data for business use
- Build, deploy, automate, and maintain advanced analytics data pipelines
- Complete ad hoc analytic stakeholder requests and projects by assessing data requirements, designing analytical studies, and delivering results and recommendations
- Design and deploy data pipeline prototypes into multiple data and analytics platforms
- Optimize AI models for performance, scalability, and efficiency, using cloud-based resources and distributed computing frameworks
- Build OCR models, Vision Inspection, Anomaly detection, time series forecast, NLP, Classification
- Apply prompt engineering techniques to enhance the performance and accuracy of AI models
- Leverage GEN AI skills to create and fine-tune AI models for various applications
- Apply business area expertise to define and frame complex, multi-faceted projects and develop goals, direction, and work plans
- Analyze performance data trends to identify opportunities for advanced analytics, quality improvements, and/or cost savings
- Serve as a subject matter expert on the functionality and content of business products and tools
- Lead, guide, train, and execute advanced analytics projects that improve business decisions
Requirements
- Bachelor's Degree in Engineering, MCA, or MSc
- 8+ years’ relevant experience in Data Science
- Proficiency in programming languages including Python, R, SQL, and NoSQL
- Experience in visualizing advanced analytics models to business insights using tools such as Power BI and Tableau
- Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform
- Experience in designing and deploying distributed data processing frameworks including NoSQL databases and high-performance computing clusters
- Experience in GENAI especially prompt engineering is a plus
- Self-starter motivated to correctly interpret business needs, possessing strong problem-solving skills
- Technical expertise to perform hands-on data analysis, research, and programming work
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