** This role is based at our Corporate Office in Menomonee Falls, WI. You’ll 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