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SNH Capital Partners · 2 months ago

BI Developer & Data Analyst

Austin, TX

Full-time

Onsite

Mid Level

SNH Capital Partners is an AI startup focused on building AI-powered Autonomous Employees to enhance organizational efficiency. They are looking for a skilled BI Developer and Data Analyst to design, develop, and maintain data reports and dashboards, transforming raw data into actionable insights for strategic business decisions.

Asset Management

Growth Opportunities

Responsibilities

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

Qualification

Google Cloud PlatformSQLData visualizationETL processesData modelingPythonRAnalytical skillsCommunication skillsProblem-solving skills

Required

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)