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Open nowPosted 11 hours ago

Forward Deployed Engineer (FDE) — Analytics

joynrh29 open roles

Where
Uberlândia, Minas Gerais, BR, Remote
Work mode
Remote
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Your applicationOpen nowForward Deployed Engineer (FDE) — Analyticsjoynrh · Uberlândia, Minas Gerais, BR, Remote

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. joynrh postings stay open a median of 3 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 11 hours ago

joynrh median: 3 days open

The posting

About the Role

We are looking for a Forward Deployed Engineer (FDE) — Analytics to work at the intersection of customers, AI, data, analytics, product, and engineering.

You will own customer use cases end-to-end — from understanding the business problem and designing the solution to building, deploying, and continuously improving it in production.

Your specialization is Data & Analytics.

You bring deep experience in Business Intelligence, Analytics, SQL, Data Lakes/Lakehouses, data modeling, and modern data platforms, helping customers transform complex enterprise data into trusted insights and AI-powered analytics.

You are expected to understand the business problem, understand the data, design the solution, build it, deploy it, and make sure it creates value.

What You Will Do

  • Own analytics use cases end-to-end: Discovery → Data → Design → Build → Deploy → Operate → Improve.
  • Work directly with customers to understand business questions, KPIs, processes, data sources, analytical requirements, and expected outcomes.
  • Connect enterprise data to AI, integrating databases, data warehouses, data lakes, lakehouses, APIs, and business systems.
  • Build AI-powered analytics solutions combining SQL, semantic models, dashboards, data visualization, LLMs, and AI agents.
  • Design data and analytics architectures, including data models, relationships, metrics, business definitions, semantic layers, and analytical workflows.
  • Translate business questions into trusted analytics, ensuring users can move from natural-language questions to accurate insights and decisions.
  • Collaborate with Product & Engineering to turn customer requirements into reusable analytics and platform capabilities.
  • Drive adoption and business outcomes, ensuring analytics solutions are trusted, used, and creating measurable value.

You are a hands-on Data & Analytics engineer who can move comfortably between business conversations, data architecture, SQL, analytics, AI, and production systems.

Strong experience with:

  • SQL and advanced data analysis.
  • Business Intelligence and Analytics.
  • Data Warehouses, Data Lakes, and Lakehouses.
  • Data modeling and semantic layers.
  • ETL/ELT and data pipelines.
  • Dashboards, KPIs, metrics, and data visualization.
  • Python for data and analytics.
  • APIs and enterprise data integrations.
  • Cloud data platforms.
  • Data quality, governance, lineage, and security.

Experience with technologies such as Snowflake, Databricks, Microsoft Fabric, Power BI, Azure, AWS, GCP, SQL Server, PostgreSQL, MySQL, or similar platforms is highly valuable.

Experience with Generative AI, LLMs, RAG, AI agents, Text-to-SQL, or AI-powered analytics is a strong plus.

Nice to Have

You may come from backgrounds such as:

  • Analytics Engineering.
  • Business Intelligence Engineering.
  • Data Engineering.
  • Data Architecture.
  • Analytics Architecture.
  • AI / Data Solutions Architecture.
  • Forward Deployed Engineering.
  • Data & AI Consulting.

What matters most is your ability to combine deep analytics expertise, engineering capabilities, business understanding, customer interaction, and end-to-end ownership.

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