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ing, experimental design, and causal inference techniques to evaluate impact and optimize resource allocation
Collaborate with cross-functional teams to define key metrics & KPIs for evaluating the effectiveness of CRM initiatives and marketing campaign
Design and execute experiments to quantify the incremental impact of various marketing channels, strategies and tactics on customer behavior and business outcomes
Analyze large dataset to identify trends, patterns and insights related to campaign performance, customer engagement and ROI to refine targeting strategies and justify investments
Build and maintain scalable data pipelines, dashboards and reporting tools to monitor and track incrementality measurement in real time
Work closely with data engineering and BI teams to ensure data integrity, accuracy and accessibility for analysis and reporting purposes
Provide actionable recommendations and insights to optimize marketing strategies, allocation of resources and campaign targeting efforts based on incrementality analysis
Communicate findings, results, and recommendations to stakeholders at all levels of the organization through clear and compelling presentations, reports, and visualizations to drive continuous improvement
Collaborate with internal and external partners to enhance data collection, attribution modelling and experimentation capabilities to advance incrementality measurement capabilities within the organization
What You'll Need:
Candidate must possess a Bachelor's degree in Computer Science, or related field, or equivalent experience
7+ years of experience with detailed knowledge of BI data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
Different database technologies, including Vertica, SQL Server, and Snowflake
Writing and tuning SQL scripts
Scripting for automation, including Python, and R
Experience must include 3 years in data analysis, experimentation, metrics, dashboard building and maintenance
Experience using business intelligence reporting and visualization tools, including Excel and Tableau
Experience with online & instore experimentations
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