Analytics Engineer
Spot & Tango - New York, NY
Hiring: Analytics Engineer Company: Spot & Tango Location: New York, NY Job Posted Time: 2026-09-10 14:35:31 Employment Type: Hybrid Target Skills & Keywords : Airflow, BigQuery, Fivetran, Python, SQL, dbt About the job Experience: •3-4 years of experience in data modeling, business intelligence, and/or database management. Experience with E-Commerce is highly preferred. •4 years of experience in data modeling, business intelligence, and/or database management. Experience with E-Commerce is highly preferred. Required Skills: •Data Modeling and Transformation: Collaborate with stakeholders to understand their analytical needs and translate these requirements into well-structured data models using dbt. Create tests for dbt models to ensure data quality and manage our daily dbt runs (via dbt Cloud). •Pipeline and Model Maintenance: Monitor our pipeline and data model refresh jobs and triage issues if jobs fail. Help establish new pipelines (via a variety of tools including Portable, Fivetran, and airflow) when we need to ingest new sources of data. •BI Development: Develop Omni views and topics, allowing stakeholders to build dashboards, reports, and data visualizations. Create a BI environment that empowers stakeholders to access and interpret data easily. Implement best practices for Omni development to ensure consistency and standardization across the platform. •Cross-Functional Collaboration: Partner with business and tech teams to identify data needs, translate business requirements into technical solutions, provide timeline expectations, and deliver actionable insights. •Documentation: Document dbt models, pipelines, and analytics queries to facilitate knowledge sharing and maintain an organized and accessible data ecosystem. •Proficiency in using dbt for data modeling and transformation. •Knowledge of Python and experience with Airflow is a plus. •Analytical Mindset: Demonstrated ability to analyze complex data sets, draw insights, and communicate findings effectively to both technical and non-technical audiences. Qualifications: •You are passionate about using data to uncover insights that drive a business forward — working with teams across that business to understand where data products can be deployed with the greatest effect. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!