What are the responsibilities and job description for the Marketing Business Intelligence Analyst (Remote) position at Kohl's?
About The Role
In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization.
What You’ll Do
What Skills You Have
In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization.
What You’ll Do
- 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
What Skills You Have
- 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