Senior Data Analyst transforming how Genesys leverages data to enhance customer experience and operational excellence. Collaborating with teams to create impactful Tableau dashboards and analyze large-scale data.
Responsibilities
play a pivotal role in transforming how Genesys leverages data to enhance Customer Experience (CX) and operational excellence
retrieve, analyse, and visualize large-scale data from enterprise data sources to deliver insights that improve Support efficiency, customer satisfaction, and strategic decision-making
translate complex datasets into actionable insights through compelling Tableau dashboards, text analytics, and machine learning models
extract, transform, and analyse data from Snowflake, relational databases, and other data warehouses
write and optimize complex SQL queries to support data exploration, reporting, and advanced analytics
work with both structured and unstructured data to derive meaningful business insights
partner with stakeholders to understand business challenges and design analytical approaches to solve them
apply statistical methods, text analytics, and machine learning techniques (e.g., classification, sentiment analysis, clustering) to uncover patterns and opportunities
leverage Python or R for automation, predictive analytics, and integration with ML or GenAI models
build scalable data pipelines and workflows to support both traditional analytics and AI-driven solutions
design and maintain impactful Tableau dashboards and reports that provide clear, actionable insights
present analytical findings in a way that supports decision-making and drives measurable business outcomes
Requirements
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or related discipline
5+ years of experience in data analytics, with at least 4+ years in advanced analytics or BI roles
Proven expertise in SQL and data modelling for analytics
Strong proficiency in Tableau (or Power BI) for visualization and dashboard design
Solid grounding in statistical and analytical methods—profiling, regression, trend analysis, segmentation, forecasting
Experience working with Genesys Cloud data or analytics is a strong plus
Exposure to the AWS ecosystem (e.g., S3, Redshift, Lambda, Glue, SageMaker) is a significant advantage
Excellent communication and data storytelling skills, with the ability to influence business and technical stakeholders
Exposure to text analytics/NLP tools or LLM integrations for business applications
Benefits
larger tech companies perks and benefits
independence to make a larger impact on the company
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