Posted Jul 20
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.
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.
