# Forward Deployed Analytics Engineer

**Company:** [Hightouch](https://hotfix.jobs/companies/hightouch)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $100k – $160k/yr
**Skills:** SQL, Snowflake, Databricks, BI Tools, semantic layers, Marketing Analytics, cdp, ETL, LLMs, Prompt Engineering
**Posted:** 2026-07-22

> Forward Deployed Analytics Engineer bridging customer legacy BI reports to Hightouch's Agentic CDP. Reverse-engineer marketing reports, build semantic context layers for reliable AI-generated SQL, train marketers on AI usage, and ensure accurate, idempotent analytics.

## Job Description

## What You'll Do

- Scope difficult reporting questions and clarify the core business decisions the resulting reports must support.
- Audit and deconstruct complex customer marketing reports across legacy BI tools. Build, implement, and translate these into complex reports, analyses, and reusable reporting frameworks within Hightouch’s aCDP.
- Rigorously investigate data sources, identity resolution logic, metric definitions, and audience behavior within the aCDP to ensure absolute accuracy.
- Train non-technical and non-AI forward marketers on how to use AI effectively to brainstorm and strategize.
- Explain analytical findings in a clear, actionable way that helps customers make critical business decisions.
- Design, build, and tune the semantic context layer. Rigorously document assumptions, data limitations, and recommended next steps for ongoing use, ensuring report generation maintains strict consistency and idempotency.

## What We're Looking For

- Deep SQL Expertise: Write clean, performant, and scalable SQL. Deeply comfortable navigating cloud data platforms, particularly Snowflake and Databricks.
- BI & Marketing Analytics DNA: Extensive experience building or dissecting BI reports. Understand marketing schemas, attribution models, and what metrics actually matter to a growth team.
- Systems Thinker: Understand how to build robust semantic layers. Can take a messy, real-world database and organize it into a structured, highly contextualized format that an LLM can reliably query.
- Customer-Facing Polish: Empathy and communication skills to navigate complex technical discussions, train marketers, and deliver clear findings to both engineers and non-technical stakeholders.
- Martech Knowledge: Understand the modern data stack and marketing technology infrastructure (CDPs, ETL/ELT pipelines, and data activation systems).

## Bonus Points

- Prior experience working with LLMs, prompt engineering, or AI-driven analytics tools.
- Background in a Forward Deployed, Solutions Engineering, or Technical Customer Success role.
- Familiarity with array aggregation and object manipulation in modern cloud data warehouses.

## Compensation
$100,000-$160,000 USD per year, location-independent. We also offer meaningful equity in the form of ISO options, with early exercise and a 10-year post-termination exercise window.

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