Note: The job is a remote job and is open to candidates in USA. Kohl’s is a retail organization transforming into a data-native business through technical expertise and strategic insight. The Senior Manager, Business Intelligence Engineer will lead data and analytics strategies, guide engineering and management teams, enable cross-functional analysis, and deliver high-quality data insights and solutions for business leaders.
Responsibilities
- 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
Skills
- 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 RedShift, 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
Benefits
- Remote work arrangement
Company Overview
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