Data Analyst

- Build and maintain data pipelines and marketing datasets for segmentation and targeting. - Use Python and SQL to extract, clean, and analyze data from multiple systems. - Deliver insights on customer behavior, campaign performance, and lifecycle trends. - Create dashboards, reports, and tools to track marketing metrics and forecast performance. - Support experimentation and A/B testing with statistically sound analysis. - Work with marketers to design targeting models for acquisition, engagement, and retention. - Partner with Business Systems and Sales to align data infrastructure with commercial objectives. - Develop measurement plans for each marketing channel (Google Ads, email, paid social, etc.). - Establish best practices and SOPs for campaign execution, reporting, and analytics. - Lead the design and documentation of scalable processes to improve marketing effectiveness. - Identify inefficiencies and introduce continuous improvements across workflows. - Own and enhance the marketing tech stack—working with internal teams and external consultants. - Ensure smooth lead management across marketing and sales systems. - Train staff on new tools, processes, and changes.