Kohl's
Senior Marketing Business Intelligence Analyst
Kohl's, Menomonee Falls, Wisconsin, United States, 53051
This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.
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
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
Required
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
Preferred
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
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
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
Required
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
Preferred
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