This individual has proficiency in employing business intelligence solutions, excellent analytical abilities, strong business operations fundamentals, and good judgment. The role will be responsible for enhancing PV’s Global Marketing Operations data collection, operational metrics, and partner reporting capabilities in order to build the data infrastructure. In this role, you will be responsible for developing operational, marketing, and human capital data into an automated reporting suite, and leveraging tools and expertise that will enable PV to map enterprise strategies into actionable delivery plans. You will influence data driven business decisions that results in quantifiable outcomes, understanding complex business relationships, and developing a correlation between your work and PV’s financial drivers.Key job responsibilities
* Design, develop and maintain scaled, automated, user-friendly systems, ongoing metrics, reports, APIs, dashboards, etc. that will support our business needs.* Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.
* Prepare management reporting and monitor performance by collecting, analyzing and summarizing performance data and trends, identifying and resolving problems and developing recommendations
* Design and influence operational best practices for reporting and analytics to enable the team to scale as we grow presence in new and existing territories.* Help drive new initiatives and data integration projects.
* Serve as liaison between the Business and Product/Technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.* Create marketing campaign forecasting capability that optimizes budget and staffing to meet marketing needs
* Prioritize effectively in a fast-paced environment and highly-matrixed organization.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
משרות נוספות שיכולות לעניין אותך