Data Analyst

Teramind Inc.
United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Airflow Big Data BigQuery Business Systems Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation Database Queries Python (Programming Language)
+11 more
Raw Data Salesforce.Com SQL Databases Workflow Management Systems Google Cloud Cloud Platform System Git Hubspot Looker Analytics Software Version Control Data Pipelines

Job description

Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level Design, build, and maintain Looker/LookML reporting and dashboards; partner with stakeholders to gather requirements; write performant SQL and dbt models; ensure data quality and documentation; analyze large datasets and deliver insights; grow into data engineering tasks (pipelines, orchestration, integrations). The summary above was generated by AI, 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., * 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.

Requirements

  • 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.

Benefits & conditions

This 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 process We 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 Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.

About the company

At Teramind, we’re pioneering a predictive, AI-driven approach to safeguarding organizations’ people, data, and operations. As a global leader in user behavior analytics, insider risk management, and workforce intelligence, we empower businesses to transform data into a strategic asset - delivering clear visibility, control, and proactive protection across digital environments.

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