Advisory Analytics Engineer

SolarWinds • Austin, TX

17d • Hybrid

About The Position

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions. The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!

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.

Requirements

• 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 Haves

• 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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed