---
title: 'Analytics Engineer at Signal AI'
canonical: 'https://feeny.ai/job/analytics-engineer-signal-ai-lisbon-54cn06c8k9zt'
type: 'job'
last_seen: '2026-09-05'
---

# Analytics Engineer at Signal AI 

- **Company:** Signal AI 
- **Location:** Lisbon, Portugal
- **Compensation:** €32k–€40k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/signal-ai/e1914b28-e04c-41c2-94fd-88cc195bfc29

## Job description

At Signal AI, we use cutting-edge AI technology to offer clarity on decisions that shape businesses and society. We value restless curiosity, creative thinking, and diverse perspectives as we strive to become AI-native. We believe that AI is a collaborator, not just a tool, and we invite passionate individuals to join us on our journey as we continue to learn, experiment, and grow together.

About the role - what’s your purpose?

We are looking for an Analytics Engineer to join our newly formed Business Analytics team, working closely with Engineering, Operations & Product teams to design & build analytical models for both our premium enterprise clients and internal data users to drive impactful business decisions and enable self-service analytics.

The role will need to manage data pipelines, quality and delivery methods across multiple projects. You'll work closely with various stakeholders to understand and identify the correct data for the proper use case. This role should have a strong level of confidence in managing and optimising data models and processes (with and without LLMs) to ensure data products are flexible, pragmatic, and fit for purpose.

Day-to-Day Responsibilities - What you will be doing?

- Managing the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow.
- Creating & maintaining interactive dashboards and leading user engagement of them with both our largest clients and internal users in Power BI & Tableau.
- Transforming, analysing & optimising large sets of quantitative and qualitative data.
- Taking ownership of reporting processes to ensure accuracy and reliability for the end-users with strong governance and version control.
- Testing, unpicking & refining areas such as analytical scoring, user behaviour, product performance to identify trends & opportunities and set up the most relevant KPIs.
- Collaborating with product managers, engineers, and ops analysts to provide data-driven insights from well-designed data models.

Who are we looking for?

- You have strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server.
- You have several years of strong experience with ETL/ELT processes and APIs with tools such as dbt, Airflow, and Talend.
- You are proficient in using BI visualisation tools, in particular Power BI, Tableau & Metabase.
- You have good knowledge of data modelling & transformation techniques within data pipelines.
- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
- You love building products as part of a cross-functional team, focused on an iterative, outcome-driven approach.
- You have strong communication skills and are comfortable expressing your ideas and listening to multiple different audiences.
- You have a positive attitude and are keen to learn new skills in order to succeed.

Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role.

We're dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard—a place where you can truly thrive as yourself.

## About Signal AI 

## Company Overview
- **One-liner**: Signal AI provides an AI-driven reputation management and risk intelligence platform that helps business leaders monitor external data to navigate risk, strengthen reputation, and fuel growth.
- **Entity Type**: Private (last raised a $165M round from Battery Ventures; total funding $265.7M)
- **Headquarters**: London, England, United Kingdom
- **Founded**: 2013
- **Founders**: David Benigson (CEO)

## Core Business
- **Industries**: AI-powered reputation management, risk intelligence, media monitoring, PR & communications analytics
- **Target Customers**: B2B – primarily Fortune 500 companies and enterprise C-suite leaders (e.g., Deloitte, Spotify, Google); also serves PR and communications teams
- **Mission**: To help leaders see clearly, decide confidently, and act boldly by transforming external data into actionable insights.

## Products & Services
- **Signal AI Platform (AIQ)**: A proprietary AI engine that blends generative and discriminative AI to analyze traditional and social media across 226 markets and 120+ languages. Offers modules for:
  - **Reputation Risk Monitoring**: Sentiment tracking, emerging topic identification, reputational threat sensing
  - **Enterprise Risk Intelligence**: Early risk detection at company and industry level, regulatory monitoring (from speculation to enactment)
  - **PR & Comms Measurement**: Benchmarking, campaign evaluation, share of voice, and corporate narrative planning
  - **Alerting & Response**: Real-time impact-based crisis alerts (enhanced by acquired Memo’s readership data)
- **Memo Integration** (acquired March 2026): Adds real article-level readership data from premier publishers to move beyond “vanity metrics” like impressions.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Annual Revenue of GBP 19.0M (most recent); Total Funding of $265.7M (including a $165M round led by Battery Ventures)
- **Notable Investors/Partners**: Battery Ventures, Highland Europe, Redline, MMC Ventures, Hearst Ventures, Guardian Media Group, Tech Nation Future Fifty
- **Growth Signals**:
  - 800+ global customers incl. Fortune 500 brands
  - Operating in 10 countries (UK, US, Portugal, South Africa, Canada, India, Germany, Saudi Arabia, South Korea, Hong Kong)
  - Headcount of 176 employees (-4.9% YoY)
  - Recent acquisition of Memo (March 2026) to bring unique readership data into reputation intelligence
  - Active job postings increased 50% year-over-year (3 current openings)

## Competitive Advantages
- **Proprietary AIQ Technology**: Combines discriminative AI (precise data retrieval) with generative AI (actionable insights) – specifically designed for risk and reputation professionals, unlike generalist AI tools.
- **Massive Data Coverage**: Monitors 226 markets and 120+ languages across traditional media, social, podcasts, and regulatory filings.
- **Unique Readership Data**: Through the Memo acquisition, Signal AI is the first platform to integrate real publisher readership metrics, enabling impact-based crisis alerting and C-suite-ready PR measurement.
- **Trusted by Industry Leaders**: Proven adoption by Fortune 500 companies (Deloitte, Spotify, Google, Pepsi, Walmart, PayPal).

## Strategic Focus
- **C-Suite & Comms Leadership**: Deepening capabilities for Chief Communications Officers to measure earned media impact with hard data.
- **Impact-Based Intelligence**: Moving from mention counting to readership and true reputational threat prioritization.
- **Regulatory & Risk Expansion**: Enhancing monitoring of regulatory lifecycle (speculation to enactment) and enterprise risk sensing.
- **Continued AI Innovation**: Refining AIQ to reduce noise and deliver “unknown unknowns” insights.

## Why Work Here
- **Culture & Inclusion**: 91% diversity & belonging score in internal survey (2021). Strong commitment to DEI with an inclusive environment.
- **Transparency**: Monthly all-hands sharing company growth, technology plans, and boardroom-level information with all employees.
- **Hybrid Work Model**: 2–3 days in office across all locations (London, US, Portugal, etc.) with flexibility.
- **Benefits**: Local benefits include life insurance and medical cover; emphasis on emotional, physical, and mental support for employees and families.
- **Engineering Culture**: Public engineering blog ([engineering.signal-ai.com](https://engineering.signal-ai.com/about/)) highlights a world-class AI platform and a focus on innovation at scale.
- **Employee Ratings**: 3.3/5 (129 reviews on LinkedIn) – work-life balance 3.7, compensation 3.1, culture 3.4, career 3.2. Opportunities for growth (recent hires from top firms like Sprinklr, Dow Jones, Thoughtworks).

## Sources
1. [Signal AI – Official Website](https://signal-ai.com/)
2. [Signal AI – LinkedIn Company Page](https://uk.linkedin.com/company/signal-artificial-intelligence)
3. [Signal AI – CB Insights Profile](https://www.cbinsights.com/company/signal-ai)
4. [Signal AI – Engineering Blog](https://engineering.signal-ai.com/about/)
5. [Signal AI – Careers Page (Ashby)](https://signal-ai.com/careers/?ashby_jid=a64eb336-45f5-43ed-9d12-67f890951f38)

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