Senior Analytics Engineer (Marketing)

Key Responsibilities

• Design and build complex dashboards with interactive features and strong visualization best practices (chart selection, usability, and stakeholder clarity).
• Develop and maintain complex SQL queries and Python-based automation to support reliable data extraction, transformation, QA checks, and scheduled reporting delivery; maintain shared codebases in version control (e.g., Git, Azure DevOps), following team standards for commits, reviews, and documentation.
• Implement automated reporting pipelines and repeatable delivery patterns that reduce manual effort and improve reliability.
• Independently source and integrate datasets; document data lineage and identify gaps, inconsistencies, or definitional misalignment.
• Clarify vague requirements by asking the right questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
• Partner with Marketing and enterprise stakeholders to support MarTech data acquisition strategies (e.g., tagging/collection requirements, platform integrations) and improve availability and usability of marketing platform datasets for reporting and analytics.
• Perform strong self-QA and milestone reviews to ensure accuracy in filters, calculations, and alignment to definitional standards.
• Present BI outputs and insights to stakeholders with clear narrative framing, explaining assumptions, limitations, and tradeoffs.
• Mentor entry-level BI engineers on tools, best practices, documentation, and stakeholder communication.
• Manage projects concurrently, accurately scoping timelines and proactively flagging risks.

Required Qualifications

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or related field.
• 5+ years of experience in BI / analytics engineering or a closely related domain.
• Expert SQL; advanced experience with BI tools (Tableau/Power BI/Looker).
• Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
• Strong communication skills with experience translating stakeholder needs into technical specifications.