946- Marketing Analytics & Data specialist

We need an English-fluent Marketing Analytics & Data specialist, based in Latin America, available to work remotely.
We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities:

• Lead the coordination of omnichannel analytics frameworks connecting CRM, media, web, and sales touchpoints.
• Manage delivery timelines, sprint planning, and project tracking to ensure execution is consistent and data transformations are correctly implemented.
• Support the Director of Analytics in defining KPIs, frameworks, and methodologies to align analytics outputs with client goals (ROI, CLV, engagement).
• Oversee data ingestion accuracy, audit transformation logic, and ensure consistency across datasets.
• Collaborate with engineering teams to streamline ETLs, automate repetitive processes, and build reliable data structures.
• Maintain data governance, naming conventions, and documentation to reduce rework and improve transparency.
• Build and refine dashboards (Power BI, Domo, Looker Studio) that visualize omnichannel performance and inform strategic decisions.
• Use SQL/Python to clean and transform datasets for marketing attribution, customer segmentation, and behavioral analysis.
• Translate complex data into clear stories and recommendations — making analytics actionable for both internal teams and clients.
• Mentor junior analysts; oversee their progress and ensure deliverables meet quality standards.
• Act as the operational bridge between the Director of Analytics, engineering partners, and client teams.
• Drive adoption of best practices in process documentation, sprint efficiency, and reporting optimization.

Requirements:

• 3-5+ years of experience in marketing analytics, data science, or data engineering — ideally within pharma, healthcare, or consumer goods.
• Proficiency in SQL and at least one analytical programming language (Python, R).
• Hands-on experience with ETL development, data validation, and BI tools (Domo, Power BI, Looker Studio).
• Strong understanding of omnichannel analytics and attribution modeling.
• Demonstrated ability to turn data insights into strategic business recommendations.
• Excellent verbal and written communication in English.
• Experience collaborating with remote or cross-time zone teams.

It´s a Plus:

• Advanced understanding of healthcare data (CRM, Veeva, IQVIA) and HCP engagement analytics.
• Familiarity with cloud platforms (GCP, BigQuery, Azure, or Snowflake).
• Knowledge of marketing mix modeling or predictive analytics.
• Exposure to machine learning or GenAI tools for analytical automation.
• Strong organizational skills and experience managing agile or sprint-based analytic workflows.