We are looking for a Data Science Analyst with expertise in mining data for insights, KPI trend analysis, ROI measurement, and data-driven decision-making. This role requires a strong analytical mindset, hands-on experience with QlikSense and Tableau (optional), and the ability to work with structured and unstructured data to drive business impact.
Key Responsibilities:
· Analyze and mine large datasets to uncover trends, correlations, and actionable insights.
· Develop models and statistical techniques to track KPI trends, ROI measurement, and forecasting.
· Conduct data-driven analysis to optimize business strategies and operational efficiency.
· Build, maintain, and optimize codebases for reporting automation and analytics workflows.
· Develop visualizations and dashboards in QlikSense / Tableau to present insights to stakeholders.
· Work cross-functionally with business, finance, and product teams to support data-backed decision-making.
· Ensure data integrity, quality, and governance while handling large datasets.
Required Skills & Qualifications:
· Experience: 6+ years in data analytics, data science, or a related field.
· Technical Skills: Proficiency in SQL, Python/R, QlikSense, and Tableau (optional).
· Analytics & Modeling: Strong understanding of data mining, statistical modeling, and predictive analytics.
· Automation & Codebase Management: Ability to build and maintain reporting pipelines and analytics codebases.
· Strong Business Acumen: Ability to translate data insights into strategic recommendations.
· Excellent Communication: Strong storytelling and visualization skills for data presentation.
Preferred Qualifications:
· Experience with ETL, data warehousing, and reporting automation.
· Background in A/B testing, regression modeling, and statistical analysis.
· Familiarity with front-end UI development for data visualization dashboards (a plus)