Senior Analytics Engineer – Decision Intelligence

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

💵 $185k - $240k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Model the gold layer with conformed entities for customer, account, project, product, and contract • Resolve identity across Salesforce, the console, Stripe, and the billing system • Own and version the semantic layer defining metrics consistently for dashboards, notebooks, and agents • Build tools, permissions, and MCP surfaces for analyst agents to navigate data safely • Add assertions for grain, uniqueness, and cross-system reconciliation, routing issues to named owners • Evaluate agent output against known-correct answers and track accuracy, refusal, and confidently-wrong rates • Answer real questions from sales, product, and finance while leaving behind reusable models

🎯 Requirements

• Daily, intricate use of AI tools and an AI-native working practice • Production-grade SQL and Python experience • Experience owning a semantic or metrics layer, such as dbt, Cube, LookML, or equivalent • Strong modelling judgment regarding grain, keys, data defects, and business definitions • Comfort working in work-in-progress infrastructure without an inherited process • Clear writing • Experience with usage-based or consumption business models (bonus) • Experience with real-time billing and consumption systems (bonus) • Experience with lakehouse architectures, including Iceberg, Athena, Trino, or similar (bonus) • Contributions to open-source data or AI projects (bonus)

🏖️ Benefits

• Equity • Bonus