Senior Manager, Business Intelligence Engineer (Remote

About The Role

In this role you will drive the transformation of Kohl’s into a data-native organization by leveraging technical expertise and strategic insight. You’ll work with cross-functional teams and specialize in understanding how data is generated, transformed, and applied to drive business decisions. Your in-depth knowledge of the BI ecosystem will allow you to convert raw data into meaningful insights. You’ll help democratize the right data across the organization and ensure it is structured, scalable, and of high quality.

• Lead data and analytics strategies that span multiple balance teams and include the most complex cross-functional initiatives
• Guide a team of engineers and managers to promote strong data literacy
• Enable cross functional teams in identifying problem statements and areas for analysis prior to experiments or testing
• Independently perform analysis of complex data sources to determine value and use given specific problem statements
• Acquire and compile structured and unstructured data from disparate sources and verify its quality, accuracy and reasonableness
• Create data visualizations to enable data exploration and translate analytic insights into tangible, actionable solutions for business partners and leaders
• Actively seek opportunities to expand technical knowledge and solicit feedback internally and externally to drive usability of our enterprise data platform
• Align and deliver integrated solutions with analytics teams outside of the Kohl’s Technology department
• Collaborate with other BIE leaders to develop, document and share best practices and to collectively inform company strategic and tactical decisions
• Oversee and refine all processes for attracting, retaining, developing and coaching associates across multiple balanced teams
• Additional tasks may be assigned

• Experience with business intelligence tools such as Tableau or Qlik, including building interactive dashboards and visualizations for non-technical stakeholders
• Ability to communicate and convey complex technical information clearly to all types of audiences
• Strong problem-solving skills with a proactive approach to overcome challenges in data analysis
• Ability to collaborate effectively in cross-functional teams and work closely with stakeholders from different business units to promote data-driven decision-making
• Ability to manage multiple priorities and projects with strong attention to detail
• Experience leading more than 1 team of individual contributors and managers

• Undergraduate degree (BA/BS) in an analytic/quantitative field.
• A minimum of 10+ years of relevant professional experience in a data analysis role
• 3+ years of formal managerial or leadership experience in analytics or retail organizations
• Experience querying data using SQL and programming with Python and R
• Experience using any cloud data warehouses including Google Big Query, Amazon Red Shift, Snowflake, etc.
• Experience building data visualizations and dashboards using any of the enterprise grade BI tools like Tableau, Qlik, Power BI, etc.
• Experience in aggregate and semantic data modeling design for reporting.