[Hiring] Marketing Business Intelligence Analyst @KOHLS

Role Description

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

Qualifications

• 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

Requirements

• Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar (Preferred)
• Experience with an object-oriented programming language (R, Python etc.) (Preferred)
• Ability to write functions and end-to-end programs (Preferred)
• Experience with Data Mining and Machine Learning methodologies (Preferred)
• Experience with Google BigQuery (Preferred)