Senior Analytics Engineer

Tango is a fast-growing startup focused on automating busywork and improving workflows. As the first Senior Analytics Engineer, you will design and maintain data pipelines, collaborate across teams, and enhance data-driven decision-making processes.

Responsibilities:

• Partner with product, business, and engineering teams to identify data needs, define metrics, and enable data-driven decision making
• Design, build, and own scalable data pipelines and data models that power analytics, reporting, and product insights
• Develop and maintain core datasets for financial and usage behavioral analytics, enabling deep understanding of customer behavior, product adoption, and business performance
• Help define, instrument, and validate product and business metrics, including those exposed in customer-facing dashboards
• Drive improvements in data quality, reliability, and observability, including ownership of SLAs for critical pipelines
• Collaborate with engineering teams to evolve data models alongside product changes
• Contribute to the definition of our analytics layer (e.g., dbt models, semantic layer, metric definitions)
• Create and maintain clear technical documentation and data contracts

Requirements:

• 5+ years of experience in data-focused roles (Analytics Engineering, Data Engineering, or similar)
• Strong experience modeling data for analytics, especially financial metrics and user behavior / product usage data
• Advanced SQL skills and experience designing well-structured, scalable data models
• Experience building and maintaining data pipelines in modern data stacks
• Hands-on experience with Snowflake, Redshift or BigQuery and familiarity with dbt (strong plus)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Proficiency in at least one programming language (e.g., Python or R)
• Experience with BI tools such as Tableau or Looker and AI Analytics platforms like Hex
• Strong analytical mindset with the ability to investigate data inconsistencies and ensure data integrity
• Ability to communicate effectively with both technical and non-technical stakeholders and translate business needs into data solutions