Senior Analytics Engineer - Tableau and SnowFlake

KBA Consulting, LLC is building a next-generation data and analytics platform, with a focus on the user experience and interaction layer of the data product. This role helps co-own how raw data becomes trusted, harmonized, business-ready analytics products, delivered today through Tableau
. You will work alongside the Head of Data & Analytics and Senior Data Engineer / Data Architect to shape durable capabilities that internal business users and external customers can rely on.

• Own the user interaction and experience layer of the data product, currently centered on Tableau, for both internal business users and external customers.
• Develop a deep understanding of how these user communities operate, then design scalable experiences that meet shared needs while addressing meaningful differences.
• Act as a product and analytics thought partner to business stakeholders by listening closely, challenging assumptions, and translating business problems into solutions that improve how users work and make decisions.
• Balance stakeholder expectations, technical realities, and long-term product direction
  , instead of only fulfilling individual requirements.
• Co-own the harmonization and reporting/analytics layers
  , transforming raw and staged data into reusable, trusted analytics 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 by applying 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 across the product by translating business concepts into governed data models, metrics, and experiences
  , moving reusable logic upstream into the warehouse or semantic layer when appropriate.
• Co-author the product with the broader data team, bringing ideas and product judgment while partnering closely with analytics and engineering leaders.
• Build trust through analytical governance including testing, validation, documentation, lineage, metric definitions, and data quality practices.
• Establish reusable standards and patterns that help analytical products remain understandable, supportable, and scalable
  .
• Shape the next generation of analytical experiences, 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.

• Strong experience in analytics engineering, data modeling, or analytical product development
  , with the depth to work across 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 moving reusable business logic out of dashboards and one-off solutions into governed warehouse and semantic-layer models.
• Proven ability to move from business problems to durable analytical solutions, including understanding user goals, refining requirements when needed, and aligning stakeholders around scalable product direction.
• Strong product and user instincts, including experience designing for different audiences and knowing when to use common capabilities versus differentiated experiences.
• Experience serving both internal and external users or customers is a plus.
• Exposure to analytical methods beyond traditional BI (for example, forecasting, segmentation, statistical analysis, anomaly detection, or optimization), with interest in expanding practical analytics and AI in business-facing data products.
• Ability to collaborate as a technical partner to engineers, analytics leaders, and business stakeholders, navigating tradeoffs and building alignment constructively.
• Discipline around data quality, testing, documentation, definitions, lineage
  , transformation logic, and assumptions, with a focus on trusted reusable capabilities rather than one-off work.

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

Hybrid remote in Austin, TX 78701 (downtown Austin). The role requires working onsite 3 days a week in a hybrid capacity.

• Salary: $130,000 - $150,000 per year
• Benefit: Flexible schedule