Senior Analytics Engineer

Senior Analytics Engineer ABOUT US We knew there had to be a better way to automate busywork and get work done faster. So we built it. With Tango, create and share how-to guides in minutes: ▶️ Capture any process as you do it ⚡ Tango automatically builds a detailed guide and can also generate automations or in-app guidance 📌 Share, embed, or pin inside your existing tools, so your team can access it from where they work. As a product-led fast growing startup, Tango powers hundreds of thousands of users at companies such as Cox, Salesforce, Gusto, Klaviyo, and Lockheed Martin. We’re backed by leading venture capital firms, including Slack Fund, Salesforce Ventures, Atlassian Ventures, Wing VC, General Catalyst, GSV Ventures, Tiger Global, and Hubspot. And we’re growing fast. We’re building a future of work where Tango learns your workflows and rules and uses automation and intelligent agent features to help handle routine tasks. That’s the future we’re building—Come build it with us. TL;DR As Tango’s first Senior Analytics Engineer, you will play a crucial role in designing, building and maintaining reliable and scalable data pipelines to collect, transform, and store large volumes of data from various sources. This role will be highly cross-functional and work closely with Product, Engineering, Marketing, and Sales. This is a remote position based in the US with a preference for candidates in CA, NY, and IL. WHAT YOU’LL DO - 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 WHAT YOU HAVE - 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 ABOUT YOU - You're a master of your craft and eager to share your knowledge to help others grow - You embrace the growth mindset and refuse to settle for good enough - You're fun! We're serious about not taking ourselves too seriously around here AI MINDSET At Tango, we operate with an AI-first mindset. We expect all team members across every function to actively engage with AI and incorporate it into their work. This includes using AI tools to improve productivity, streamline collaboration, and deliver stronger outcomes for our customers. We're looking for people who are already building, learning, and findin ... (truncated, view full listing at source)