Senior Specialist, Marketing Data & Reporting, R2Net

Responsibilities:

• Implement, configure, and maintain various Multi-Touch Attribution (MTA) models (e.g., Position-Based, Data-Driven Attribution) within our analytics platforms.

• Ensure the accuracy and integrity of marketing data across all touchpoints by rigorously implementing and managing UTM parameters, conversion pixels, and other tracking mechanisms.

• Collaborate with relevant teams to integrate data from diverse sources, including web analytics, CRM, ad platforms, and sales systems, to create a centralized view of marketing performance.

• Develop and maintain automated dashboards and reports for weekly tactical performance monitoring, focusing on KPIs such as ROAS, CPA, CVR, and online conversion volume.

• Assist in preparing comprehensive monthly and quarterly strategic reviews by synthesizing performance trends, brand KPI dashboards (e.g., Reach, Engagement Rates, Branded Search Volume), and MTA insights.

• Support the setup and analysis of incrementality tests to validate the causal impact of marketing activities.

• Contribute to the ongoing evaluation and refinement of our attribution models and measurement methodologies, ensuring they adapt to evolving marketing strategies and data availability.

• Contribute to the ongoing evaluation and refinement of our attribution models and measurement methodologies, ensuring they adapt to evolving marketing strategies and data availability.

• Proactively identify data discrepancies, troubleshoot tracking issues, and implement solutions to maintain high data quality.

• Translate complex data findings into clear, actionable insights and recommendations for marketing stakeholders.

• Support Marketing by providing assistance with ad-hoc requests for SQL queries and create custom dashboards in Tableau.

• Analyze campaign performance across digital channels including paid search, paid social, email, affiliate, and SEO.

• Partner with internal teams and external vendors to ensure accurate tracking, data hygiene, and attribution modeling.

• Provide insights and recommendations to improve campaign targeting, audience segmentation, and budget allocation.

• Support A/B testing and experimentation with data-driven analysis and reporting.

• Support UX team by creating dashboards to gain valuable insights that aim to improve conversion rate, bounce rate, and overall user experience.

• Collaborate with BI, product, and finance teams to align on cross-functional metrics and reporting standards.

Requirements and Qualifications:

• Strong proficiency in SQL, Python, and Snowflake.

• Strong proficiency in Excel/Google Sheets and at least one visualization tool
  (e.g., Looker, Tableau, Power BI).

• Familiarity with marketing platforms such as Google Ads, Meta Ads, Klaviyo,
  GA4, and affiliate networks.

• Experience using different attribution models to measure success (last-click,
  first-click, multi-touch, etc.).

• Experience working with large datasets and translating data into clear
  business insights.

• Exceptional attention to detail and strong organizational skills

• Comfortable working in a fast-paced, collaborative environment.

• Bonus: Experience with eCommerce analytics, jewelry/fashion retail, or DTC
  brands.