Data Analyst – IoT & Telemetry

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Data Analyst for IoT and Telemetry at Nexxiot in Zürich is a hands-on role turning a million connected devices into actionable insights. You will monitor fleet health, analyze telemetry such as GPS, temperature, load state and shock data, and collaborate with engineering and product teams to deliver dashboards that improve reliability and value. The ideal candidate has 3+ years in data analysis, Python (pandas, NumPy), SQL (data lake queries; Athena is a plus), and experience building dashboards with Tableau, Power BI, Superset, or Grafana. AWS familiarity and Airflow are a plus. Highlight time-series or IoT experience, data quality, and storytelling in your application.

Nexxiot is digitalizing freight asset management with technology that now oversees the world’s most extensive network of connected intermodal containers and railcars.

Clients gain access to unparalleled real-time data, which streamlines fleet management and automates logistics processes. Nexxiot devices, built for resilience, withstand extreme conditions and provide long-term, detailed insights into cargo events, including impacts, delays, safety and security incidents, and loading activities.

Based in Zurich, Switzerland, Nexxiot’s influence extends globally. Our team, comprised of industry experts, operates from offices in Europe and North America and maintains a presence in a majority of depots, ports, and rail yards.

To learn more about how Nexxiot is leading the value generation for the rail industry, please visit www.nexxiot.com.

Role Summary

We are an turning massive-scale, low-power device data into real-world impact. With a live fleet of over one million connected devices, we generate high-volume telemetry every day, and we are looking for a passionate Data Analyst to help us turn that data into clear, actionable insight.

You will work at the intersection of data, hardware, and product, transforming raw IoT telemetry into insights that improve device reliability, fleet health, and customer value.

You analyze large-scale, time-series data to identify patterns, detect anomalies, and support data-driven product and operational decisions.

You will collaborate closely with engineering, product, and commercial teams, owning your analyzes end-to-end and ensuring insights are pragmatic, precise, and directly tied to business outcomes.

This is a hands-on role with real autonomy and visible impact on a production IoT system operating at scale.

Key Responsibilities

• Fleet Health Monitoring: Dive deep into the technical telemetry of our hardware fleet (Gateways and Sensors). You will analyze connectivity rates, battery life trends, and firmware performance to identify anomalies and ensure the reliability of over a million devices in the field.
• Customer Value Generation: Analyse functional data generated by devices (including GPS position, temperature logs, load state, shock detection, and handbrake status). You will design and prototype reports that transform this raw sensor data into clear business value for logistics managers and fleet operators.
• Algorithm Optimization & Support: Collaborate closely with Software Engineers and Data Scientists. You will help determine the optimal configuration parameters for edge and cloud algorithms and validate the accuracy of algorithm outputs in a production environment.
• Data Investigation: Proactively identify patterns, outliers, and data quality issues, performing root cause analysis to solve complex technical problems.
• Visualization: Create intuitive dashboards and visual representations of complex datasets to communicate findings to technical and non-technical stakeholders.

Requirements

Minimum Qualifications:

• Python: Strong proficiency in Python for data manipulation and analysis (pandas, NumPy, Matplotlib/Seaborn).
• SQL: Advanced SQL skills with specific experience querying large datasets in a data lake environment (Athena is a plus).
• Data Visualization: Experience with BI tools (e.g., Tableau, PowerBI, Superset, or Grafana) to build automated reporting and clear dashboards.

Preferred Qualifications:

• Cloud Experience: Familiarity with the AWS ecosystem (S3, Glue, Lambda) is highly desirable.
• Workflow engine: Familiarity with a workflow engine (e.g. Airflow) to orchestrate jobs for fleet data analysis and automated fleet operation

Experience & Soft Skills:

• 3+ years of professional experience in data analysis, data science, or business intelligence.
• Experience working with Time-Series Data or IoT sensor data is a strong plus.
• Strong statistical foundation (understanding of distributions, hypothesis testing, and error analysis).
• Ability to translate complex technical data into clear, narrative-driven insights for stakeholders.
• Detail-oriented mindset with a passion for data accuracy and integrity.
• Fluency in English