Data Analyst

About the Role

Teramind is seeking a Data Analyst to own business intelligence reporting and analytics as our business scales rapidly. This role transforms raw data into clear, dynamic reporting that drives decision-making across the company, and partners directly with stakeholders to answer their most important questions. Sitting on a small, high-leverage data team within our Google Cloud environment, the Data Analyst will own our Looker reporting layer end to end and work in the same modern data stack — BigQuery, dbt, SQL, and Python — that powers our data engineering.

Key Responsibilities

• BI Reporting and Ownership: Design, build, and maintain compelling, dynamic reporting in Looker that provides insight and visibility across the entire company. Own our LookML models, explores, and dashboards.

• Stakeholder Partnership: Work directly with business and operational stakeholders across Sales, Marketing, Customer Success, Product, and Finance to gather requirements, answer complex questions, and deliver reporting that supports evolving operational strategies.

• Data Transformation: Write clean, performant SQL and build and maintain data models in dbt to turn raw data into reliable, well-structured reporting datasets.

• Data Quality and Documentation: Implement quality checks and clear documentation so that reporting is accurate, consistent, and trusted across the organization.

• Analysis and Insight: Analyze large, complex datasets, find creative solutions to difficult problems, and provide solid recommendations to leadership.

• Growth into Engineering: As skills and business needs develop, take on data engineering work including pipeline development, workflow orchestration (Airflow / Cloud Composer), and data integrations across internal and external systems.

• 3+ years of experience in a data analyst, BI, or analytics engineering role.

• Strong SQL skills for querying, transformation, and data modeling.

• Working proficiency in Python.

• Hands-on experience with dbt for data transformation.

• Experience building reporting and dashboards in a BI tool; Looker preferred.

• Experience with a cloud data platform; GCP preferred.

• Strong analytical, problem-solving, and critical-thinking skills.

• Excellent communication skills with the ability to explain data clearly to non-technical audiences.

• Self-starter who takes strong ownership, solves problems independently, and knows when to pull in subject-matter experts to move faster.

• Confident making bold, well-reasoned decisions and backing them up with data.

• Comfortable leveraging AI tools and modern data tooling to work faster, prototype solutions, and improve output quality.

• Experience with Google Cloud Platform and BigQuery specifically.

• Exposure to workflow orchestration tools such as Apache Airflow.

• Experience with data integration tools such as Airbyte.

• Familiarity with version control and collaborative development workflows (Git, pull requests).

• Experience working with go-to-market or business systems data such as HubSpot, Salesforce, or similar.

• Experience with ETL/ELT concepts and data integration via APIs.