We are seeking a highly analytical and detail-oriented Data Analytics Engineer to join our data team. This role will report into the Revenue Operations team. The ideal candidate will help build and maintain the data infrastructure and reporting used across go-to-market, finance, and product teams, working closely with analytics colleagues across both the GTM and core data teams to deliver reliable, well-documented data products.
Responsibilities- Develop and maintain dashboards and reports primarily supporting GTM stakeholders, with additional use by Finance, Product, and other cross-functional teams; assist with deep-dive analyses on business performance and trends.
- Pull and analyze data from source systems (Salesforce, Amplitude, production systems, billing) to support reporting and ad hoc requests.
- Use SQL to extract, clean, and analyze data, with attention to correctness and efficiency.
- Build foundational SQL and business knowledge and quickly grow into contributing to dbt models within Snowflake, following established dimensional modeling standards.
- Partner with GTM, Finance, and Product stakeholders to understand data needs and keep reporting and definitions consistent.
- Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related quantitative field.
- 1-3 years of experience in a Data Analyst, BI, or Analytics Engineering role.
- Strong SQL skills required, with the ability to write complex, multi-step queries involving joins and aggregations; experience with dbt and/or Python is a strong plus.
- Familiarity with a cloud data warehouse (Snowflake preferred) and BI tools (Hex, Metabase).
- Strong attention to detail and ability to manage multiple priorities in a fast-paced environment.
- Excellent communication skills, with the ability to explain data findings to non-technical stakeholders.
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
CompensationWe offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 120K - $150K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal OpportunityTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy.
Skills Required
- Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related quantitative field
- 1-3 years of experience in a Data Analyst, BI, or Analytics Engineering role
- Strong SQL skills, including complex multi-step queries with joins and aggregations
- Experience with dbt and/or Python
- Familiarity with a cloud data warehouse, preferably Snowflake
- Familiarity with BI tools such as Hex and Metabase
- Strong attention to detail and ability to manage multiple priorities in a fast-paced environment
- Excellent communication skills and ability to explain data findings to non-technical stakeholders
What We Do
Together AI is a research-driven artificial intelligence company. We contribute leading open-source research, models, and datasets to advance the frontier of AI. Our decentralized cloud services empower developers and researchers at organizations of all sizes to train, fine-tune, and deploy generative AI models. We believe open and transparent AI systems will drive innovation and create the best outcomes for society







