Senior Analytics Engineer (Marketing)

We are seeking candidates with Senior Analytics Engineering experience to work on a team at our client site in either NYC or Bethesda, MD.

This is a contract to hire role with Roth Staffing (Ledgent Tech is a division of Roth), so no 3rd party candidates can be considered.

W2 hourly rate range: $58.00 - $91.00

Salary range upon conversion: $121.9K - $189.6K

Role Summary

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 / anal

  All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.