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 kpis
perform analyses on large data sets to understand drivers of marketing engagement and provide recommendations on campaign and product optimization
manage end to end process of analytic tooling feature development, including request intake, requirements evaluation, cross functional team alignment, feature execution, qa testing, and stakeholder communication
consult with marketers, analysts, and cross functional partners to understand their reporting and data needs, serving as the point of contact for requests, inquiries, and actions
interface 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 skill
big data analytics
other skill
python programming language
apache airflow
apache hive