Data Engineer
hace 3 días
About the Role"
"Job Title": Data Engineer/BI
Key Responsibilities
- Develop, maintain, and scale reporting dashboards and data pipelines to monitor performance of global paid media campaigns across channels (e.g., display, video, search, and affiliate).
- Partner with stakeholders across marketing, analytics, and product teams to define KPIs and develop metrics frameworks that support customer acquisition goals.
- Perform deep-dive analysis on paid media effectiveness and customer behavior to identify growth opportunities and present actionable insights.
- Support marketing attribution modeling, experimentation, and campaign incrementality measurement in collaboration with data science partners.
- Build automation and self-service tools to enable faster, more accurate campaign decision-making.
- Translate complex data into clear narratives and visualizations for stakeholders at all levels, from marketing specialists to senior leadership.
- Ensure data accuracy, integrity, and governance across multiple sources including campaign management tools, internal data lakes, and third-party platforms.
Basic Qualifications
- Bachelor's degree in Business, Marketing, Analytics, Computer Science, or related field.
- 3–5+ years of experience in BI, marketing analytics, or data engineering, preferably in a digital media or e-commerce environment.
- Proficient in SQL, data modeling, and querying large-scale datasets.
- Experience with data visualization tools such as Tableau, QuickSight, or Power BI.
- Strong understanding of marketing analytics, including paid media attribution, funnel metrics, CAC/LTV, and ROI measurement.
- Demonstrated ability to manage multiple projects and deadlines in a fast-paced, cross-functional environment
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