Senior Analytics Engineer - Business Intelligence

About the role

The client's Marketing department is seeking an experienced Business Intelligence professional to join the Marketing Analytics organization as a Senior Analytics Engineer (Business Intelligence). This role builds complex dashboards and automated reporting solutions, translates stakeholder questions into technical specifications, and ensures reporting outputs are accurate, well-designed, and aligned to definitional standards. At the Senior level, this role is expected to operate with general alignment, independently drive BI deliverables end-to-end, and serve as a go-to partner for stakeholders who need reliable reporting, strong visualization, and clear interpretation of results.

Contract details: Right to Hire, 6‑month contract starting July 13, 2026.

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.
• Growth mindset: receptive to feedback, proactive about learning, and continuously improves BI craftsmanship (accuracy, usability, documentation) through iteration.

Required Skills

• 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 Skills

• Experience with semantic layer concepts (e.g., LookML / MetricFlow) and workflow orchestration basics
• Relevant certifications (examples): 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 (e.g., Google Analytics) and marketing platform data (e.g., ad buying platforms such as Campaign Manager 360 (CM360) / Search Ads 360 (SA360) and CRM tools such as Salesforce)
• Experience in Property & Casualty (P&C) insurance is preferred

Qualifications

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or related field (required)
• Master's degree in Data Analytics, Business Intelligence, Computer Science, or related field (preferred)

Required Experience

• 5 years of experience in BI / analytics engineering or a closely related domain (may be adjusted, in whole or in part, at the Company's discretion, where a candidate demonstrates exceptional aptitude in other core skill areas)
• Nice‑to‑Have: 7 years of experience in BI / analytics engineering or a closely related domain

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

Pay

$95.00–$120.00 / Hour (USD)