Data Science Analyst

Summary

Join Intuit as a Data Science Analyst and leverage your expertise in data mining, KPI trend analysis, and ROI measurement to drive data-driven decision-making. This full-time remote position requires strong analytical skills, experience with data manipulation, and the ability to translate insights into actionable strategies. You will analyze large datasets, develop predictive models, build visualizations, and collaborate with cross-functional teams. Proficiency in SQL, Python/R, and QlikSense is essential. Experience with ETL and data warehousing is preferred.

Requirements

• Have 3-5+ years of experience in data analytics, data science, or a related field
• Be proficient in SQL, Python/R, QlikSense
• Have a strong understanding of data mining, statistical modeling, and predictive analytics
• Be able to build and maintain reporting pipelines and analytics codebases
• Have the ability to translate data insights into strategic recommendations
• Possess strong storytelling and visualization skills for data presentation

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

Preferred Qualifications

• Have experience with ETL, data warehousing, and reporting automation
• Have a background in A/B testing, regression modeling, and statistical analysis
• Be familiar with front-end UI development for data visualization dashboards