Sr. Analytics Engineer

Senior Analytics Engineer

The Senior Analytics Engineer is responsible for transforming raw internal data into trusted datasets, actionable insights, and executive-grade dashboards that support operational and strategic decision-making. This role owns the end-to-end analytics stack, including data ingestion, modeling, pipeline engineering, semantic layer development, and dashboard delivery using Tableau and/or Power BI. The Senior Analytics Engineer partners closely with business stakeholders to understand business questions, translate them into scalable data products, and communicate insights effectively to audiences ranging from frontline teams to senior leadership and board-level stakeholders.

Principal Responsibilities:

• Data Engineering & Platform Migration
• Design, build, and operate data pipelines across both the current Alteryx environment and the target Big Query/GCP platform.
• Ensure data quality, lineage, freshness, reliability, and observability throughout the transition lifecycle.
• Assess existing Alteryx workflows and define target-state architectures using Big Query, Dataform, dbt, Cloud Composer, and related GCP services.
• Lead incremental migration efforts with validation processes to ensure functional parity between legacy and modernized workflows.

• Data Modeling & Analytics Architecture
• Design dimensional models, semantic layers, and reusable data marts within Big Query.
• Implement star-schema and medallion (Bronze/Silver/Gold) architectures to support scalable analytics and reporting.
• Create reusable data assets that accelerate dashboard development and self-service analytics.

• Dashboard Development & Business Intelligence
• Design and deliver production-grade dashboards using Tableau and/or Power BI.
• Develop data models, advanced calculations, row-level security, drill-through experiences, and performance optimizations.
• Publish and govern reporting solutions that provide executive-ready insights and operational visibility.

• Analytics & Insight Generation
• Perform trend, cohort, time-series, and comparative analyses to uncover business insights.
• Apply hypothesis testing, A/B test analysis, and lightweight predictive techniques where appropriate.
• Translate data into clear narratives, recommendations, and actionable business outcomes.
• Identify opportunities to unlock additional value from organizational data assets.

• Stakeholder Partnership
• Serve as a subject matter expert for departmental data and analytics.
• Partner with business and technical teams to define requirements, metrics, and reporting needs.
• Resolve data inquiries and support critical business decisions with accurate analysis.
• Build durable partnerships across functions and establish trusted advisor relationships.

• Documentation & Leadership Communication
• Document requirements, data contracts, metric definitions, technical designs, and migration runbooks.
• Create executive presentations and supporting materials for leadership and board-level discussions.
• Promote reporting standards, reusable assets, and analytics best practices across the organization.

Required Qualifications:

• Education:
  
  Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field.
• Experience:
  
  7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or a comparable role with demonstrated leadership responsibilities.
• Hands-on experience developing, maintaining, optimizing, and modernizing Alteryx Designer and Server workflows.
• Proven experience translating complex business problems into scalable analytics solutions and actionable insights.

Google Cloud & Big Query Expertise:

• Strong experience with Big Query and the Google Cloud data ecosystem, including several of the following:
• Big Query (partitioning, clustering, materialized views, authorized views, performance optimization, Big Query ML)
• Cloud Storage
• Dataform and/or dbt
• Cloud Composer (Airflow)
• Cloud Workflows or Cloud Scheduler
• Dataflow, Dataproc, or Pub/Sub
• IAM, VPC Service Controls (VPC-SC), and analytics security controls

Business Intelligence & Visualization:

• Extensive experience developing reporting solutions in Tableau…