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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Advisory Analytics Engineer - **Company:** SolarWinds Worldwide, LLC. - **Location:** Austin, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Data Analysis, Automation of Tests, BigQuery, Software as a Service, Cloud Computing, Software Documentation, Continuous Delivery, Continuous Integration, Data Mart, Data Systems, Data Warehousing, Python (Programming Language), Netsuite, Requirements Management, Salesforce.Com, Software Engineering, SQL Databases, Tableau (Software), Data Processing, Scripting, Large Language Models, Snowflake, Git, SolarWinds (Software), Star Schema - **Published:** September 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/advisory-analytics-engineer-austin-tx--b5ca1cc6-b55f-44e4-a4b6-3aaf22cc9b84 ## About the Role * 5+ years of experience in analytics engineering, business intelligence, or a related data role * Production-grade dbt experience (dbt Core or dbt Cloud) - you've designed and maintained multi-layer models at scale, written macros, and contributed to shared packages * Expert-level Tableau skills - you build governed, performant, and user-friendly dashboards from scratch and can explain design decisions to stakeholders * Python proficiency for analytics use cases - data wrangling, scripting, custom dbt macros, or exploratory analysis * Strong SQL fundamentals - complex analytical queries, window functions, CTEs, aggregations, and query performance awareness * Experience with a modern cloud data warehouse (BigQuery, Snowflake, or Redshift) including understanding of materialisation and performance trade-offs * Git and branch-based development workflows - you treat analytics code with software engineering discipline * CI/CD experience in a data context - dbt test gates, PR-triggered runs, or equivalent pipeline automation * Solid understanding of data modelling concepts - star schema, slowly changing dimensions, metric normalisation * Strong communication skills - you can present data findings to non-technical audiences and translate vague business questions into clear model briefs * Comfort using AI coding assistants and LLM-based tools in analytics workflows NICE TO HAVE * Hands-on MetricFlow or dbt Semantic Layer experience in a production environment * Hands on experience with demand / marketing funnel data (web, download, trial, lead) * Familiarity with Salesforce or NetSuite as source systems * Experience in a SaaS or recurring revenue business - ARR, churn, expansion, and NRR metrics * Exposure to Dataplex, Fivetran, or similar data cataloguing and ELT tooling * Experience with next-generation self-serve BI platforms, Analysis Skills, Artificial Intelligence (AI), Automation, Best Practices, Bridge Building, Business Analysis, Business Intelligence, Business Transformation, Cataloguing, Civil Engineering, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Mart, Data Modeling, Data Quality, Data Warehousing, Documentation Standards, Finance, Fundamental Analysis, Git, Machine Tool, Marketing, Mentoring, Metrics, NetSuite, Product Testing, Production Systems, Public/Media/Press/Analyst Relations, Python Programming/Scripting Language, Query Analysis, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Salesforce.com, Scripting (Scripting Languages), Service Level Agreement (SLA), Snowflake Schema, Software Engineering, Software as a Service (SaaS), Star Schema, Tableau, Team Player, Test Automation, Test Plan/Schedule, Use Cases, Workflow Analysis ## Description As an Advisory Analytics Engineer, you will own end-to-end analytics delivery - from well-governed dbt data models through to polished Tableau dashboards or AI solutions consumed by business leaders across Marketing, Revenue, Customer Success, and Product. This is a high-impact individual contributor role with balanced accountability across transformation and delivery. You'll spend roughly half your time on dbt model development and half on Tableau dashboard delivery and business stakeholder engagement - the bridge between our Analytics Engineering platform and the business teams who rely on it. You'll collaborate closely with our AE community in Austin, Ireland and the Philippines, aligning data models and metrics to real business requirements. You will also be a point person in our San Francisco privet equity office building data solutions alongside their analytics engineering team. The right candidate is equally comfortable writing production-grade dbt SQL and sitting with a senior stakeholder to translate a business question into a data product. You bring craft to both sides of that equation., * Design, build, and maintain dbt data models (Mart, Conformed, Rpt layers) following SolarWinds modelling standards, with a focus on consumption-ready, well-tested data products * Deliver high-quality Tableau dashboards and self-serve analytics assets for business teams across Marketing, Revenue, Customer Success, Finance, and Product - from requirements through to stakeholder sign-off * Own the Tableau-to-dbt integration layer: consume MetricFlow semantic layer definitions in Tableau Cloud, ensuring metrics are consistent, governed, and aligned with company-wide standards * Partner directly with business stakeholders to translate requirements into model specifications and analytics deliverables - the primary analytics contact for your assigned business domains * Champion data quality - write dbt tests, enforce delivery SLAs, and embed lineage documentation as standard practice * Lead and run CI/CD processes for your dbt models - branch-based development, PR reviews, and automated test gates * Support and mentor junior and mid-level analysts, promoting best practices in SQL, dbt modelling, and Tableau development * Contribute to the rollout of self-serve analytics enablement programmes for business users, reducing dependency on direct analyst requests * This role requires periodic onsite visits to our privet equity sponsors office in San Fransico ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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