Hightouch

Forward Deployed Analytics Engineer

Vaga remota de AI com fit claro de localização do candidato.

PublicadaAdicionada recentemente

Países elegíveis3 países aceitos

Sinal de senioridadeNível aberto

Modelo de trabalhoRemoto

Locais aceitos para candidatos

CanadáMéxicoEstados Unidos

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

Strategic Scoping & Alignment: Scope difficult reporting questions and clarify the core business decisions the resulting reports must support.
Complex Reporting & Translation: 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.
Deep Data Investigation: Rigorously investigate data sources, identity resolution logic, metric definitions, and audience behavior within the aCDP to ensure absolute accuracy.
Customer Enablement & Training: Train non-technical and non-AI forward marketers on how to use AI effectively to brainstorm and strategize, particularly when Ads and LCM Studio are not in-scope.
Cross-Functional Collaboration: Explain your analytical findings in a clear, actionable way that helps our customers make critical business decisions.
Context Layer Engineering & Documentation: 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.

Deep SQL Expertise: You write clean, performant, and scalable SQL. You are deeply comfortable navigating cloud data platforms, particularly Snowflake and Databricks.
BI & Marketing Analytics DNA: You have extensive experience building or dissecting BI reports. You understand marketing schemas, attribution models, and what metrics actually matter to a growth team.
Systems Thinker: You understand how to build robust semantic layers. You 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: You possess the empathy and communication skills necessary to navigate complex technical discussions, train marketers, and deliver clear findings to both engineers and non-technical stakeholders.
Martech Knowledge: You understand the modern data stack and marketing technology infrastructure (CDPs, ETL/ELT pipelines, and data activation systems).

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.

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