Analytics Engineer

Analytics Engineer

Company Overview:

Endeavour Technology Ltd. has its headquarters in Dublin, Ireland. Endeavour is a company that captures the IoT cellular connectivity experience. Our ground-breaking product nSpire is a SaaS platform that has collectors on the edge (on devices) and provides real value-based connectivity insights to our customers.

Our vision is to improve the quality of connectivity with a specific focus on Business Critical, Mission Critical and Life Critical connectivity. With deep IoT, telecoms, analytics, and information technology experience, we are expanding our global presence to support customers around the world as the IoT and 5G markets continue to grow.

Endeavour Technology turns data from connected devices into actionable intelligence. Our nSpire platform measures real-world connectivity quality from the device’s perspective, helping leading companies in automotive, in-flight connectivity, and telecoms understand and improve the experience their customers get.

Software agents running on devices collect large, rich data sets that power guided analytics workflows used by hundreds of business users. These workflows are built on SQL, cloud databases, and Tableau – and our team uses AI tools such as Claude every day to work faster, explore problems more thoroughly, and deliver stronger results.

Some of our successful solutions include Connected Cars (Auto OEMS), and Industrial Internet of things (IoT) including 5G Enterprise/MEC, NPN Networks.

nSpire ensures that customers have the confidence and assurance that the connectivity delivered is always fit for purpose and enables IoT customers to utilise the QoS data in their IoT products and services.

www.endeavourtechnology.com

Role Description:

We’re looking for an experienced Analytics Engineer who can take a product brief or use case and independently turn it into a robust, scalable analytics solution, with Tableau at the core of what you deliver.

AI is part of how we work. You’ll use tools like Claude as a thinking partner – to shape your approach to a problem, speed up SQL and dashboard development, check your logic, and sharpen how insights are communicated. Your analytical judgement stays firmly in charge; AI helps you get to the best answer faster.

You’ll sit in our value delivery group and work closely with the CTO, Analytics and Product teams to bring real-time, data-driven solutions to life for our clients.

Responsibilities

• Design, build, and optimize analytical workflows and dashboards using Tableau, SQL, and AWS-based databases.
• Translate complex business requirements into performant data models and dashboards, using AI tools to explore different approaches and find the best way to solve each problem.
• Use AI assistants to accelerate everyday work – drafting and optimizing SQL, troubleshooting calculations, suggesting visualization approaches, and checking data quality.
• Turn analysis into clear, well-structured insight – summaries, commentary, and recommendations that business users can act on.
• Critically review all AI-assisted output, so every deliverable remains accurate and trustworthy for client decision-making.
• Build solutions that are scalable, reusable, and reliable, and document them so others can maintain and extend them.
• Work cross-functionally with product managers, data experts, and engineers.
• Support live analytics solutions, including troubleshooting and performance tuning.

What Success Looks Like

• In your first 3 months: you’ve learned our data and platform, and shipped your first series of use cases
• In your first 6 months: you independently own analytics use cases from brief to delivery, and AI is a natural part of how you get there.
• In your first year: business users rely on your work for key decisions, and you’re helping raise the quality and speed of the wider team’s output.

Required Skills & Experience

• 10+ years in analytics, data engineering, or similar technical roles.
• Deep experience delivering complex dashboards using Tableau and other analytics tools.
• Deep experience with SQL, ideally in AWS/Postgres/Redshift environments.
• Regular, hands-on use of AI tools (e.g. Claude, ChatGPT, Copilot) in your analytics work, with examples of how they’ve improved your speed or the quality of your results.
• A practical understanding of where AI helps and where it falls short, the discipline to verify its output, and care for data privacy when working with client data.
• A problem-solving mindset and comfort working independently from a brief.
• Fluent English and excellent communication skills – you can explain complex findings simply.
• A degree in a technical discipline (e.g. Computer Science, Engineering) or equivalent practical experience.

Bonus Skills

• Experience with Python or JavaScript.
• Experience with AI features in Tableau, such as Tableau Pulse or Tableau Agent.
• Knowledge of Tableau Server or Tableau Cloud.
• A Tableau Public portfolio or other shared examples of your work.
• Background in technical industries such as telecoms, connected vehicles, or aviation.

What We Offer

• Work on cutting-edge analytics with real world connectivity data from global brands.
• Access to leading AI tools, and the freedom to use them to do your best work.
• Hybrid working model based in Dublin or in Belgrade Serbia
• A supportive team with deep technical and domain expertise.
• A collaborative, high-trust team culture with real ownership from day one