Key Responsibilities

Data Retrieval Analysis
- 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.
Advanced Analytics 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.
Visualization Storytelling
- 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.

Qualifications

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

Senior Data Analyst

Job Description