Senior Analytics Engineer
Tango
•Remote
About The Position
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.
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
Nice To Haves
- Familiarity with dbt (strong plus)
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
Benefits
- Full Medical/Dental/Vision coverage with 100% employer contribution, FSA, and an HSA for qualified plans
- Competitive compensation + meaningful equity
- 401(k) plan
- Work from anywhere in the US, with UberEats and Deskpass stipends
- Generous annual stipend for Learning & Development & Productivity
- Health and Wellness stipend
- Unlimited PTO, 10 holidays, 4 personal volunteer days, 4 mental health days, and birthdays off
- Paid parental leave
- Subsidized National Parks Annual Pass
- Subsidized Roller Skates
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
