Senior Analytics Engineer - Business Intelligence
$95 - $120 per hourGlobal Technical Talent
SR Analytics Engineer/ BI Location: Chevy Chase, MD Contract Details
- Position Type: Right to Hire
- Contract Duration: 6 months
- Start: July 13, 2026
- Pay Rate: $95.00-$120.00 / Hour (USD)
- Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
- 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.
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or related field.
- Master's degree in Data Analytics, Business Intelligence, Computer Science, or related field (preferred).
- 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).
- 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.
- 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 (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.
- Medical, Vision, and Dental Insurance Plans
- 401k Retirement Fund
Vacancy posted 5 days ago
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