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Marketing Analytics Consultant

Right Side Up

Austin, TXRemote

About Right Side Up

Please note, this posting is to highlight joining Right Side Up's talent collective specifically and is not representing an internal full-time role, or a current opportunity with a client.

Right Side Up is a collective of premium marketing talent—with all of the marketing chops, and none of the agency fluff. We’re trusted by the most respected early-stage ventures, the fastest-growing tech companies, and well-established Fortune 500 teams to do one thing better: Growth. We have over 250+ clients including Stitch Fix, Sephora, Yelp, Sun Basket, Crunchbase, DoorDash, Calm, and more.

About the Role

Responsibilities

  • Design and implement marketing analytics frameworks to measure performance across channels
  • Set up and manage tracking systems (e.g., GA4, AppsFlyer, Segment, Mixpanel)
  • Build and maintain dashboards and reporting to monitor KPIs and campaign performance
  • Analyze data across paid, organic, lifecycle, and product channels to identify insights and opportunities
  • Develop and refine attribution models to better understand channel impact
  • Support Media Mix Modeling (MMM) and other advanced measurement approaches
  • Partner with marketing, product, and data teams to ensure data accuracy and alignment
  • Translate data into clear recommendations for stakeholders

Requirements

  • Strong foundation in marketing analytics and performance measurement
  • Experience with analytics and attribution tools (e.g., GA4, AppsFlyer, Mixpanel, Amplitude, Segment)
  • Experience building dashboards using tools such as Looker, Tableau, or similar
  • Familiarity with attribution methodologies (multi-touch attribution, incrementality testing, MMM)
  • Ability to synthesize large datasets into actionable insights
  • Strong communication skills with the ability to present findings clearly to stakeholders
  • Comfort working across multiple channels and marketing functions

Nice to Have

  • Experience with SQL or data modeling
  • Familiarity with data warehouses (e.g., BigQuery, Snowflake)
  • Experience in high-growth startup environments

Seen 19 days ago.

Original posting on Right Side Up's site ↗

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