About the RoleTeramind 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.
Required Qualifications- 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.
Preferred Qualifications- 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.
BenefitsThis is a remote job. Work from anywhere! We've been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.
Additionally:• Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated.
• Competitive compensation
• Career growth opportunities
• Flexible paid time off
• Laptop reimbursement
• Ongoing training and development opportunities
About our recruitment processWe don't expect a perfect fit for every requirement we've outlined. If you can see yourself contributing to the team, we want to hear your story. You can expect up to 3 interviews. In some scenarios, we're able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews.
All roles require reference and background checks 
