Business Intelligence Analyst - Analytics Engineer Hybrid

Accountabilities

• Lead the migration of legacy data workflows from Alteryx to dbt, developing reliable, tested, and well-documented data models that establish a trusted source of truth.

• Build, maintain, and optimize data transformation workflows and production-grade models within an Amazon Redshift data warehouse.

• Manage and monitor data pipelines using orchestration tools such as Dagster or Airflow, ensuring data reliability, quality, and performance.

• Partner with Sales, Marketing, Customer Experience, and other stakeholders to translate technical data concepts into clear business insights and measurable outcomes.

• Develop and maintain Tableau dashboards that provide visibility into key performance indicators and support revenue operations strategy.

• Support strategic initiatives such as Account-Based Marketing (ABM), customer health scoring, lead scoring, and churn prediction through relevant analytics and reporting.

• Explore and implement AI and large language model capabilities to improve data discovery, analytics workflows, and predictive modeling.

• Collaborate with Product and Engineering teams to identify opportunities for machine learning applications, including solutions built with Amazon SageMaker.

• Maintain high standards for SQL, data modeling, code quality, documentation, and analytical architecture while continuously identifying opportunities for improvement.

Requirements:

• 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.

Benefits:

• Annual base salary:$84,225–$140,375, depending on work location, experience, skills, qualifications, and other relevant factors.

• Bonus or commission eligibility, with compensation details confirmed in writing if an offer is extended.

• Remote-first working culture that supports flexibility, autonomy, and accountability.

• Healthcare coverage and health and wellness programs.

• Generous competitive paid time off, national holidays, self-care days, two additional Founder Days, and Juneteenth observance.

• Paid parental leave and paid volunteer time off.

• Retirement plan with employer match or contributions.

• Education reimbursement to support professional development and continued learning.

• Monthly wellness or home office reimbursement.

• Access to an Employee Assistance Program and mental health support platform.

• Charitable contribution matching.

• Inclusive, collaborative working environment focused on continuous learning, professional growth, and meaningful impact in global education.