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Senior Marketing Business Intelligence Analyst (Onsite)

AT Kohl's
Kohl's

Senior Marketing Business Intelligence Analyst (Onsite)

Menomonee Falls, WI

** 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

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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

Client-provided location(s): Menomonee Falls, WI 53051, USA
Job ID: kohls-KLHKUSR401516
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Long-Term Disability
    • HSA
    • On-Site Gym
    • Pet Insurance
    • Short-Term Disability
    • FSA
    • HSA With Employer Contribution
    • Mental Health Benefits
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • On-site/Nearby Childcare
    • Fertility Benefits
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • On-Site Cafeteria
    • Company Outings
    • Commuter Benefits Program
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Leadership Training Program
    • Associate or Rotational Training Program
    • Tuition Reimbursement
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Promote From Within
    • Shadowing Opportunities
    • Internship Program
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program

Company Videos

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