Data Science Analyst

Job Summary

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: 3-5+ 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).