Business Intelligence Analyst - Analytics Engineer Hybrid

In this role, you will bridge the gap between data engineering and business strategy, transforming complex datasets into actionable insights that support revenue growth and operational excellence. You will work closely with Sales, Marketing, and Customer Experience leaders to improve decision-making through reliable data models, analytics, and reporting solutions. A key focus will be migrating legacy workflows to modern data transformation practices while strengthening data quality, documentation, and pipeline performance. You will also explore emerging AI and large language model capabilities to advance predictive analytics and machine learning applications. This opportunity is ideal for a technically skilled, business-minded professional who enjoys solving complex problems, communicating insights clearly, and taking ownership in a collaborative, remote-first environment.

• At least five years of professional experience in Business Intelligence, Analytics Engineering, or a related data-focused role.

• Demonstrated expertise in building and maintaining production-grade data models using dbt.

• Hands-on experience with Dagster or Airflow for workflow orchestration and data pipeline management.

• Advanced SQL skills and practical experience with Amazon Redshift or comparable cloud data warehouses such as Snowflake or BigQuery.

• Experience developing stakeholder-facing dashboards and visualizations using Tableau.

• Familiarity with Salesforce data structures and their use in business reporting and revenue operations.

• Strong analytical and problem-solving skills, with the ability to turn complex data into practical recommendations and measurable business impact.

• Excellent communication and stakeholder management skills, including the ability to explain technical concepts clearly to non-technical audiences.

• A proactive, curious, and ownership-driven mindset, with a commitment to data quality, clean code, continuous learning, and collaboration.

• Preferred qualifications: Experience with Alteryx migration projects, Python, large customer engagement datasets exceeding one million rows, advanced Tableau dashboards, Tableau Online or Server, and Salesforce-specific data modeling.

• AI and machine learning experience: Familiarity with or a strong interest in generative AI, large language models, predictive analytics, and machine learning, particularly applications involving Amazon SageMaker.