Kohl's is seeking a Marketing Business Intelligence Analyst to leverage data for strategic decision-making. The role involves designing and optimizing BI solutions, developing data models and dashboards, and collaborating with cross-functional teams to transform complex datasets into actionable insights.
Responsibilities:
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
- Leverage SQL to retrieve, transform and prepare data for robust analyses
- Present findings to executive-level digital, marketing and merchandising leadership
- Develop best practices for BI and Self Service
- Directly query data in the Google Cloud Platform across different environments to prepare data for analytics
- Institute an environment of ongoing learning and sharing of skills and knowledge to the broader analytics pyramid
- Be a steward of customer, marketing and digital data and collaborate with IT and business stakeholders on projects related to using data and analytics
- Additional tasks may be assigned
Requirements:
- 5+ years of experience, preferably working within a digital, IT, marketing, e-commerce or other applicable field or analytics organization
- Advanced proficiency in SQL
- Expertise in Qlik, Tableau, PowerBI or Looker Studio
- Experience in Adobe Clickstream, Adobe Analytics
- Experience working directly with business stakeholders to translate between data and business needs
- Highly effective at communicating analysis and data visualizations with a non-technical audience
- Proven ability to independently determine approaches to efficiently completing projects and managing processes
- Knowledge of statistical analysis methods
- Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application
- Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar
- Experience with an object-oriented programming language (R, Python etc.)
- Ability to write functions and end-to-end programs
- Experience with Data Mining and Machine Learning methodologies
- Experience with Google BigQuery