Senior Specialist, Marketing Data & Reporting, R2Net

About the Role

Key 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 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 SQL queries and creating 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.
• Collaborate with UX team by creating dashboards to gain insights that 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

• 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.

Nice to Have

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

Qualifications

• No specific formal educational qualifications specified in the description.

Benefits & Perks

• Paid time off
• Medical, Dental, Vision and Prescription Insurance
• 401(k) Retirement Plan with company match
• Flexible spending account
• Health savings account
• Tuition Reimbursement
• Employee discount
• Parental leave
• Life insurance