Utilize strong sql python skills to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features.build reporting dashboards and visualizations to design, create and track campaign program kpisperform analyses on large data sets to understand drivers of marketing engagement and provide recommendations on campaign and product optimizationmanage end to end process of analytic tooling feature development, including request intake, requirements evaluation, cross functional team alignment, feature execution, qa testing, and stakeholder communicationconsult with marketers, analysts, and cross functional partners to understand their reporting and data needs, serving as the point of contact for requests, inquiries, and actionsinterface with other data engineering, product, and data science teams to implement client needs and initiatives.should be able to drive work independently after 1 month ramp up.primary skillbig data analyticsother skillpython programming languageapache airflowapache hive