Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and sustain engaging and dynamic reports in Looker that offer insights and visibility throughout the organization.

• Take ownership of our LookML models, explores, and dashboards.

• Collaborate closely with business and operational stakeholders in Sales, Marketing, Customer Success, Product, and Finance to gather requirements, address complex inquiries, and provide reporting that aligns with evolving operational strategies.

• Write efficient, high-performing SQL and create as well as manage data models in dbt to convert raw data into dependable, well-structured reporting datasets.

• Establish quality checks and comprehensive documentation to ensure reporting is accurate, consistent, and reliable across the organization.

• Analyze extensive, intricate datasets, develop innovative solutions to challenging problems, and present solid recommendations to leadership.

• As skills and business needs progress, undertake data engineering responsibilities including pipeline development, workflow orchestration (Airflow / Cloud Composer), and data integrations across both internal and external systems.

⛳️ Requirements

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

• Proficient in SQL for querying, transformation, and data modeling.

• Working knowledge of Python.

• Practical experience with dbt for data transformation.

• Experience in creating reports and dashboards in a BI tool; Looker is preferred.

• Familiarity with a cloud data platform; GCP is preferred.

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

• Excellent communication skills, capable of articulating data insights to non-technical audiences.

• Self-motivated individual who takes ownership, resolves problems independently, and recognizes when to engage subject-matter experts to expedite processes.

• Confident in making bold, well-reasoned decisions supported by data.

• Comfortable utilizing AI tools and modern data technologies to enhance efficiency, prototype solutions, and elevate output quality.

• Experience with Google Cloud Platform and specifically BigQuery.

• Familiarity with workflow orchestration tools such as Apache Airflow.

• Experience with data integration tools like Airbyte.

• Knowledge of 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 platforms.

• Understanding of ETL/ELT concepts and data integration through APIs.

🏝️ Benefits

• Collaboration with a progressive team where innovative ideas are nurtured, experience is appreciated, and talent is developed.

• Competitive salary.

• Opportunities for career advancement.

• Flexible paid time off.

• Laptop reimbursement.

• Continuous training and development opportunities.