Category Analytics Lead, Roundel - Consumer Electronics

Target Target · Retail · Minneapolis, MN

Target's Roundel media business is seeking a Category Analytics Lead to own the category-level insight agenda and act as a strategic thought partner. This role involves translating complex data into scalable insights that shape category direction, inform go-to-market decisions, and drive measurable performance outcomes. Requires deep category expertise, strong analytical rigor, and the ability to influence decisions without direct people leadership. The role requires hands-on experience building and applying statistical and predictive models, understanding of the digital media marketplace, and advanced SQL/Excel/PowerPoint skills.

What you'd actually do

  1. Serve as a senior individual contributor and category authority, owning the category-level insight agenda and acting as a strategic thought partner to performance & insights peers, sales teams, merchants, and other enterprise stakeholders.
  2. Operate at the intersection of business strategy, advanced analytics, and influence, translating complex data into scalable insights that shape category direction, inform go-to-market decisions, and drive measurable performance outcomes.
  3. Translate ambiguous business questions into structured analytical approaches and to influence decisions in a matrixed environment.
  4. Build and apply statistical and predictive models (e.g., regression, time-series, uplift/causal models, propensity/scoring, forecasting).
  5. Analyze and provide insights on the digital media marketplace, including proven experience with incrementality and multi-touch attribution methodologies.

Skills

Required

  • digital media analytics
  • insights
  • consulting
  • marketing experience
  • client engagement
  • senior-level stakeholder engagement
  • statistical and predictive models
  • regression
  • time-series
  • uplift/causal models
  • propensity/scoring
  • forecasting
  • digital media marketplace
  • incrementality
  • multi-touch attribution methodologies
  • analytical rigor
  • influence
  • structured analytical approaches
  • advanced SQL
  • complex queries
  • large transactional datasets
  • large media datasets
  • large digital datasets
  • Microsoft Excel
  • Microsoft PowerPoint
  • data visualization tools
  • web analytics tools

Nice to have

  • category expertise

What the JD emphasized

  • Minimum 7 years of proven digital media analytics, insights or consulting, marketing experience or equivalent experience engaging directly with clients including senior-level stakeholder engagement
  • Hands-on experience building and applying statistical and predictive models (e.g., regression, time-series, uplift/causal models, propensity/scoring, forecasting)
  • In-depth understanding of the digital media marketplace, including proven experience with incrementality and multi-touch attribution methodologies
  • Proven ability to translate ambiguous business questions into structured analytical approaches and to influence decisions in a matrixed environment.

Other signals

  • advanced analytics
  • statistical and predictive models
  • digital media analytics