Principal, Data Analyst/BI Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal, Data Analyst/BI Engineer based in the United States.

This role offers the opportunity to build advanced data solutions that transform complex media and creative performance information into actionable business insights.
You will design scalable data models, reliable pipelines, and intuitive reporting tools that help teams make smarter decisions.
The position combines hands-on engineering expertise with strategic data ownership in a collaborative technology and marketing environment.
You will work closely with data scientists, creative teams, media specialists, and engineers to solve complex measurement challenges.
This is a high-impact opportunity to define data practices, improve analytics capabilities, and create trusted reporting systems from the ground up.
You will play a key role in connecting technology, data, and business strategy to drive measurable outcomes for clients.

Accountabilities:

The Principal, Data Analyst/BI Engineer will own the architecture, modeling, pipelines, and reporting infrastructure that powers media and creative performance measurement. This role requires a hands-on technical leader who can translate business needs into reliable data solutions while establishing best practices for a growing data function.

• Own the end-to-end creative and media data function, including architecture, data models, pipelines, reporting, and measurement solutions.
• Design, build, and maintain data models that integrate media, creative, and performance data from multiple platforms.
• Develop and manage ETL/ELT processes that ingest data from various sources into cloud data warehouses with a focus on automation, reliability, and efficiency.
• Build and maintain Looker dashboards and LookML models that serve as trusted measurement and reporting tools.
• Create reporting solutions using additional visualization platforms where appropriate.
• Establish technical standards, processes, and foundational decisions to support future growth of the data function.
• Partner with data science, creative strategy, media activation, and engineering teams to translate business questions into actionable insights.
• Apply strong digital media knowledge to structure datasets effectively and ensure performance reporting remains meaningful.
• Manage data quality, documentation, governance, and reliability across cloud-based data environments.
• Improve analytics workflows through disciplined engineering practices, automation, and scalable solutions.

Requirements:

The ideal candidate is an experienced data professional with strong business intelligence, analytics engineering, and data engineering expertise. They should have a proven ability to build data solutions independently, communicate effectively with clients, and apply technical skills to solve real-world marketing and measurement challenges.

• 8+ years of hands-on experience in BI, analytics, data engineering, or related fields, ideally within a client-facing or agency environment.
• Advanced experience with Snowflake, BigQuery, SQL, and modern cloud data platforms.
• Strong expertise in Looker and LookML, with experience developing analytics dashboards and reporting solutions.
• Experience with ETL/ELT development across multiple tools and data sources; familiarity with Matillion is a plus.
• Working knowledge of AWS and Google Cloud Platform environments.
• Hands-on experience with paid media platforms such as Meta, Google/YouTube, and programmatic advertising ecosystems.
• Understanding of media performance metrics, creative measurement, and the data generated by digital advertising platforms.
• Strong engineering fundamentals, including version control, testing practices, documentation, and structured data modeling.
• Ability to independently own projects, define technical direction, and operate effectively with limited oversight.
• Strong communication skills with the ability to collaborate directly with clients and cross-functional teams.
• Experience with Python and/or R is beneficial.

Benefits:

• Competitive salary range of approximately $108,600–$145,000 USD , based on experience, expertise, location, and organizational impact.
• Fully remote work opportunity within the United States.
• Healthcare, dental, and vision coverage.
• 401(k) retirement plan with company matching.
• Paid time off and company holidays.
• Paid parental leave.
• Opportunity to work on innovative projects at the intersection of technology, data, and marketing.
• Collaborative environment that encourages creativity, curiosity, and professional growth.
• Inclusive workplace culture focused on belonging, flexibility, and employee support.
• Opportunities to contribute ideas and make a meaningful impact within a purpose-driven organization.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.