Sukrit Singh Arneja
About Candidate
Results-driven Senior Data Analyst with 5+ years of experience in data extraction, modeling, machine learning and
data visualization across Marketing, Healthcare and Retail industries. Mastered the ability to transform large, complex
datasets into actionable insights that drive business growth, operational efficiency, and strategic decision-making.
Education
GPA: 3.9/4.0
Work & Experience
- Engineered a multi-touch attribution model integrating Google Analytics, Salesforce, and ad data to optimize marketing spend, increasing ROI by 20%. Built predictive lead scoring model leveraging engagement metrics and historical conversion data, improving sales conversion rates by 18%. - Designed Looker dashboards to track marketing funnel performance and conducted lifetime value (LTV) analysis for paid media leads, reallocating budgets to high-performing channels, driving a 22% revenue uplift. - Implemented automated workflows using Google Apps Script and Python, for data extraction and campaign tracking eliminating manual reporting inefficiencies and reducing processing time by 50%. - Drove A/B testing initiatives across email campaigns, increasing email open rates by 20% and CTR by 12%. - Collaborated with data engineers to streamline Salesforce and Marketo data pipelines, resulting in enhanced campaign tracking and automated workflows. - Utilized Snowflake to extract, transform and analyze marketing campaign data, optimizing audience segmentation and targeting strategies. Developed SQL-based reporting pipelines to track campaign performance, engagement trends and conversion rates. - Designed and implemented automated campaign workflows in MessageGears, ensuring precise audience targeting, suppression logic, and triggered communications based on customer behaviors. - Built Looker and Tableau dashboards to provide marketing teams with real time, actionable data and insights for campaign performance, attribution, and engagement trends. - Coordinated with data engineers to optimize a Snowflake data warehouse, implementing efficient data models and integrating with AWS S3, resulting in a 40% improvement in query performance, 30% reduction in ETL processing time, and enabling real-time analytics for faster business insights. - Served as a strategic data partner for marketing, sales, and operations teams, aligning analytics initiatives with business goals and improved marketing-sales alignment.