Senior Analytics Engineer - Experience with Tableau and SnowFlake

Build and govern analytics experiences for internal teams and external customers within a next-generation data and analytics platform.

Responsibilities

• Own the user interaction and experience layer of the analytics product, currently delivered through Tableau, for both internal business users and external customers
• Develop a deep understanding of distinct user communities and design scalable, reusable experiences that efficiently meet shared needs while addressing where needs differ
• Serve as a product and analytics thought partner to business stakeholders by listening, challenging assumptions, and translating business problems into solutions that improve how users operate and make decisions
• Balance stakeholder needs, technical constraints, and long-term product direction, rather than only collecting and delivering requirements
• Co-own the Harmonization and Reporting/Analytics layers by transforming raw and staged data into trusted, reusable, business-ready analytical products
• Design curated models, dimensions, facts, metrics, semantic layers, and transformation logic that connect the data foundation to the user experience
• Build analytical solutions beyond traditional BI using appropriate methods to identify patterns, explain performance, anticipate outcomes, and surface opportunities for action across operational, revenue, and strategic use cases
• Own where analytical logic belongs in the product by translating business concepts into governed data models, metrics, and experiences, and moving reusable logic upstream from dashboards, spreadsheets, extracts, and one-off analyses into the warehouse or semantic layer where appropriate
• Co-author the product with the broader data team, collaborating closely with the Head of Data & Analytics and Senior Data Engineer / Data Architect
• Navigate competing perspectives and technical tradeoffs to make shared decisions, avoiding optimization of individual layers in isolation
• Build trust through analytical governance including testing, validation, documentation, lineage, metric definitions, and data quality practices
• Create reusable standards and patterns that keep analytical products understandable, supportable, and scalable
• Shape the next generation of the analytical experience, including AI-enabled ways for users to discover, understand, and act on governed enterprise data
• Evaluate and evolve tools, interaction patterns, and analytical capabilities as product and user needs mature

Requirements

• Strong experience in analytics engineering, data modeling, or analytical product development, with technical depth spanning transformation, semantic modeling, and user-facing analytics experience
• Strong SQL skills and hands-on experience with modern cloud data warehouses, ideally Snowflake or similar, plus transformation technologies such as dbt, Matillion, DPC, SQL-based ELT, or comparable tools
• Strong understanding of dimensional modeling, semantic layers, metric governance, and BI consumption patterns, including experience moving reusable business logic out of dashboards and one-off solutions into governed warehouse and semantic-layer models
• Demonstrated ability to move from business problems to durable analytical solutions by understanding user goals, refining requirements when appropriate, and influencing stakeholders toward scalable outcomes
• Strong product and user instincts, including experience designing for different audiences and identifying where common capabilities vs. differentiated experiences are needed
• Experience serving internal and external users or customers is a plus
• Exposure to analytical methods beyond traditional BI, such as forecasting, segmentation, statistical analysis, anomaly detection, or optimization, with interest in expanding analytics and AI in practical business-facing data products
• Collaborative technical partner who can co-author solutions with engineers, analytics leaders, and business stakeholders while navigating tradeoffs and competing priorities
• Strong discipline around data quality, testing, documentation, definitions, lineage, transformation logic, and assumptions, with a bias toward trusted, reusable capabilities

Technologies

• Tableau
• SQL
• Snowflake
• dbt
• Matillion
• DPC
• SQL-based ELT

Benefits

• Flexible schedule

Pay

• $130,000.00 - $150,000.00 per year

Location

• Austin, TX 78701 (Required)

Work Location

• Hybrid remote in Austin, TX 78701
• Can work onsite 3 days a week in a hybrid capacity in downtown Austin