Remotery

Senior Analytics Engineer

Posted 17 hours ago

📋 Description

• Oversee analytics engineering and the architecture of analytics-ready data across GXG for Government clients.

• Spearhead the creation, implementation, and governance of analytics engineering standards and strategic best practices that influence enterprise delivery.

• Develop and sustain highly dependable, standardized data models, transformation logic, and validation frameworks to facilitate customer analytics delivery.

• Take ownership of the analytics-engineering layer for our advanced analytics platforms, converting product-delivered data into analytics-ready formats.

• Serve as GXG’s senior advisor on intricate customer data integrations and technical decision-making.

• Establish reusable integration patterns, templates, and documentation to enhance scalable delivery, minimizing ambiguity and startup time.

• Define and refine GXG processes related to data quality, QA, backfills, and release coordination. Monitor and address data quality and consistency issues to ensure data structures support dashboards, metrics, and client outcomes.

• Manage data issues within GXG and facilitate clearly defined escalations to Product teams when necessary.

• Provide strategic insights on analytical methodologies, measurement frameworks, and best practices.

• Enhance organizational team efficiency by pinpointing systemic data challenges and driving durable, scalable solutions.


⛳️ Requirements

• Over 8 years of experience in analytics engineering, data analytics, or business intelligence, supporting analytics delivery in complex, cross-functional environments; experience with web analytics, digital marketing data, or government technology preferred, particularly involving external clients.

• Advanced SQL skills along with robust analytics-ready data modeling capabilities.

• Subject-matter expertise with the capacity to define and influence best practices at an organizational level.

• Proven ability to define, communicate, and enforce analytics engineering methodologies on an enterprise scale, ensuring alignment with organizational goals and industry standards.

• Strong comprehension of cloud data ecosystems and upstream data pipelines.

• Exceptional discipline in data quality, including validation, reconciliation, and auditability.

• Systems thinking mindset with a comfort level in navigating ambiguous, high-complexity integration situations.

• Excellent technical communication skills and the ability to collaborate across functions.

• Demonstrated experience in developing dashboards and reporting solutions; familiarity with Amazon QuickSight and Tableau is advantageous.

• Strong foundation in quantitative research and statistical analysis; qualitative research experience is a plus.

• Profound understanding of web analytics and behavioral data, including event-based and engagement datasets from tools such as Google Analytics (GA4), Adobe Analytics, Siteimprove, or similar.

• Experience in integrating multi-channel digital data sources, including email marketing platforms, social media, surveys, and other emerging customer feedback and engagement channels.

• Comfortable leading external client-facing workstreams.

• Experience and/or enthusiasm for collaborating with government clients, demonstrating a passion for public service, citizen engagement, and effective communication.


🏝️ Benefits

• Employee Resource Groups to promote diverse perspectives.

• Coffee with Mark sessions – Our employees have the opportunity to engage with our CEO on critical issues such as mental health, work-life balance, and current affairs.

• Microsoft Teams communities centered on wellness, art, pets, family, parenting, and more.

• We occasionally invite special guests to discuss topics that affect our employee population.

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