We are seeking a Senior Analytics Engineer (Business Intelligence) to work in a contract to hire role in Bethesda, MD. The W2 rate while working for Roth Staffing (Ledgent Tech is a division of Roth), will be $58.61 to $91.15. The conversion salary is $121,900 to $189,600.
No 3rd party candidates can be considered for this role.
Role Summary
The 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.
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.
* Growth mindset: receptive to feedback, proactive about learning, and continuously improves 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 (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.
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 (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.
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