Data Analyst (Marketing)

Data Analyst (Marketing)

The Data Analyst will be responsible for leading cross-functional reporting and campaign performance data aggregation across all partner and brand initiatives. In this role, you will pull and consolidate metrics from internal manager data exports and partner-facing platforms to build comprehensive post-mortem summaries and automated dashboards. You will be tasked with translating raw execution data into highly polished, executive-ready business reviews that track ROI and SLA compliance. This analytical role requires a detail-oriented professional who can transform complex datasets into clear, actionable commercial insights for leadership teams.

Responsibilities

- Aggregate and synthesize performance metrics across disparate partner channels, localized brand campaigns, and external retail footprints.

- Extract, clean, and consolidate marketing data utilizing direct data exports from internal managers and self-serve partner-facing platform metrics.

- Maintain a centralized performance data repository to ensure consistent, cross-functional visibility into marketing performance and ROI (Return on Investment).

- Build comprehensive post-mortem summaries and automated performance dashboards that clearly track key performance indicators (KPIs) against baseline Service Level Agreements (SLAs).

- Translate complex, raw execution metrics into polished, presentation-ready business reviews (QBRs) and executive summaries.

- Identify historical performance trends and data anomalies, providing actionable data-driven recommendations to help optimization efforts for future partner campaigns.

Requirements

- 4–6 years of experience as a Data Analyst, Marketing Analyst, or Business Intelligence Analyst—specifically working with multi-channel marketing campaigns, agency networks, or tech sector accounts.

- Bachelor's degree in Data Analytics, Statistics, Finance, Marketing Analytics, Business Administration, or a related quantitative field.

- Native or fluent bilingual proficiency in Spanish and English (written and verbal) to effectively manage regional stakeholders and vendor pools.

- Advanced proficiency in Google Sheets/Excel, data visualization tools (Looker Studio, Tableau, or Power BI), and familiarity with partner advertising platforms or CRM data environments.

#LI-Hybrid