SNH Capital Partners-posted 2 months ago
Full-time • Mid Level
Austin, TX

At SNH AI, we’re building the future of work: AI-powered Autonomous Employees who perform entire job roles, not just tasks, to empower organizations to scale efficiently. We’re based in the heart of Downtown Austin, TX with breath-taking views. We’re an AI startup that thrives on curiosity, bold thinking, and a passion for solving hard problems. Our team is rapidly growing, and every line of code you write will have a direct impact on the products and customers we serve. We’re shaping the future of how work will be done: humans working alongside Artificially Intelligent systems that infinitely scale their productivity and output.

  • Design, develop, and maintain automated reports and dashboards using GCP tools such as BigQuery, Data Studio, and Looker.
  • Extract, clean, and analyze large datasets from multiple sources, including SQL Server, Oracle, PostgreSQL, and BigQuery.
  • Write optimized SQL queries for data extraction and transformation across various relational database platforms.
  • Collaborate with business stakeholders to gather reporting requirements and translate them into technical solutions.
  • Build scalable data pipelines and workflows integrating on-premises databases and cloud platforms.
  • Ensure data integrity, quality, and consistency across reporting platforms.
  • Provide ad-hoc data analysis and support decision-making with clear, actionable insights.
  • Document data processes, reporting methodologies, and best practices.
  • Stay up to date with GCP innovations and industry trends to continuously improve reporting and analysis capabilities.
  • Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics, or related field.
  • Proven experience as a Report Developer, Data Analyst, or similar role.
  • Strong proficiency in Google Cloud Platform services, including BigQuery (SQL), Data Studio / Looker (data visualization), Cloud Storage and Cloud Functions (preferred).
  • Advanced skills in SQL for relational databases, including Microsoft SQL Server, Oracle Database, PostgreSQL.
  • Experience with data modeling and ETL processes across multiple platforms.
  • Ability to translate complex data into clear, actionable reports and dashboards.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills to interact effectively with technical and non-technical stakeholders.
  • Familiarity with Python, R, or similar scripting languages (a plus).
  • GCP certifications such as Google Cloud Professional Data Engineer.
  • Experience with other BI tools like Tableau, Power BI.
  • Knowledge of machine learning concepts and tools.
  • Understanding of data governance and compliance.
  • Collaborative startup culture where your voice matters.
  • Work directly with modern LLMs and applied AI tooling.
  • Fast-moving, impact-driven environment with strong engineering peers.
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