Senior Analytics Engineer (Marketing)

Senior Analytics Engineer, Contract‑to‑Hire, Manhattan. Rate: $58.61–$91.15 per hour; W2 equivalence $121,900–$189,600. Marketing analytics organization seeks an experienced Business Intelligence professional to design and build complex dashboards, automate reporting, translate stakeholder needs into technical specifications, and ensure accuracy and usability of reporting outputs. Key Responsibilities Design and build complex dashboards with interactive features and strong visualization best practices. 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 (Git, Azure DevOps). 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 (tagging, platform integrations) and improve availability and usability of marketing platform datasets. 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. Maintain a growth mindset: receptive to feedback, proactive about learning, and continuously improving BI craftsmanship (accuracy, usability, documentation) through iteration. 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. Preferred Qualifications Master’s degree in Data Analytics, Business Intelligence, Computer Science, or related field. 7+ years of experience in BI / analytics engineering or a closely related domain. Experience with semantic layer concepts (e.g., LookML, MetricFlow) and workflow orchestration basics. Relevant certifications (e.g., Tableau Desktop Certified Professional, Microsoft Certified: Power BI Data Analyst Associate, dbt Analytics Engineering Certification, Snowflake SnowPro Advanced). Experience using AI tools to improve workflow productivity (e.g., accelerating research, summarization, analysis, documentation, and automation). Experience with marketing analytics and MarTech data sources, including tagging and web analytics (Google Analytics) and marketing platform data (ad‑buying platforms such as Campaign Manager 360/ Search Ads 360 and CRM tools such as Salesforce). Experience in Property & Casualty (P&C) insurance is preferred. #J-18808-Ljbffr