(Senior) Data Analyst (m/f/d)

Meyandy LLC

Deutschland

Hybrid

EUR 70.000 - 100.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Company pension scheme
Flexible working hours
Mobile Work
EGYM Wellpass
Bike-Leasing
Corporate Benefits
Employee events

Zusammenfassung

Meyandy LLC is seeking a Data Analyst (m/f/d) focusing on the land domain for unmanned ground vehicles. You will lead analytics within the Cloud & Data Team, shaping evaluation methods for large-scale telemetry and system data and enabling data-driven decisions across R&D, production, testing, and support.

You will collaborate with Data and Cloud Engineers to integrate analytics into production systems and mentor the team in advanced analytics and model validation.

Qualifikationen

  • Proficient in data analysis and algorithm development.
  • Strong hands-on Python for data analysis and algorithm development.
  • Solid understanding of statistics, hypothesis testing, and data validation techniques.
  • Experience designing evaluation algorithms for complex/high-frequency data.
  • Strong experience with time-series analysis and telemetry data.
  • Experience with timeseries, structured, unstructured and analytical databases.
  • Understanding of data storage, retrieval, and optimization strategies.
  • Experience collaborating on data models and analytical interfaces.
  • Experience evaluating ML/AI methods (anomaly detection, predictive maintenance).
  • Understanding of model validation, robustness, and monitoring in production contexts.

Aufgaben

  • Lead tool-based analysis of telemetry and system data across R&D, production, testing, and customer support.
  • Own and evolve the data analysis toolchain, ensuring scalability, reliability, and reproducibility.
  • Design, implement, and maintain automated data evaluation and testing pipelines.
  • Drive the design and use of database solutions for large-scale telemetry data.
  • Evaluate, prototype, and deploy advanced analytics and AI-based methods.
  • Collaborate closely with Data Engineers and Cloud Engineers to integrate analytics into production systems.
  • Communicate insights and analytical results clearly to technical and non-technical stakeholders.
  • Act as a technical mentor and analytical authority within the team.

Kenntnisse

Data Analysis & Algorithms
Python for data analysis
Statistics
Time-series analysis
Telemetry data
Data modeling

Tools

SQL
Databases

Jobbeschreibung

As a Data Analyst (m/f/d) focussing in the land domain for unmanned ground vehicles, you will play a leading role within the Cloud & Data Team, owning the evaluation, interpretation, and continuous improvement of analytics for large-scale telemetry and system data. You will shape how data is analyzed across products and platforms, enabling data-driven decisions in R&D, production, testing, and customer support. You will work with a highly skilled team and collaborate closely with stakeholders across the globe. In this role, you will combine advanced analytical skills, algorithm development, and technical leadership to build robust, automated evaluation methods for complex technical systems.

What is your Day to Day Mission:
  • Lead tool-based analysis of telemetry and system data across R&D, production, testing, and customer support
  • Own and evolve the data analysis toolchain, ensuring scalability, reliability, and reproducibility
  • Design, implement, and maintain automated data evaluation and testing pipelines
  • Drive the design and use of database solutions for large-scale telemetry data
  • Evaluate, prototype, and deploy advanced analytics and AI-based methods, including anomaly detection, predictive maintenance, and online monitoring of subsystems
  • Collaborate closely with Data Engineers and Cloud Engineers to integrate analytics into production systems
  • Communicate insights and analytical results clearly to technical and non-technical stakeholders
  • Act as a technical mentor and analytical authority within the team
What you bring to the team:
  • Data Analysis & Algorithms
  • Strong hands-on experience using python for data analysis and algorithm development
  • Solid understanding of statistics, hypothesis testing, and data validation techniques
  • Experience designing custom evaluation algorithms for complex or high-frequency data
  • Strong experience with time-series analysis and telemetry data
  • Data & Databases
  • Experience working with timeseries, structured, unstructured and analytical databases
  • Good understanding of efficient data storage, retrieval, and optimization strategies
  • Experience collaborating on data models and analytical interfaces
  • Advanced Analytics
  • Experience evaluating or implementing machine learning or AI-based methods (e.g. anomaly detection, predictive maintenance, trend analysis)
  • Understanding of model validation, robustness, and monitoring in production contexts
Why Quantum-Systems:

We believe in the power of combined efforts: straightforward tech expertise paired with a customer‑centric focus. We are industry pioneers who are ambitious, bold, and visionary. We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data. We promise to be your runway for individual and professional growth.

Our benefits:
  • Company pension scheme: We support you so that you can already make provisions for later.
  • Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance.
  • Mobile Work: If things get a little busy in the office, you have the option to work remotely one flexible day per week to create the right balance.
  • Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities — and of course, we subsidize the membership.
  • Bike-Leasing: We support you in staying environmentally mobile and healthy.
  • Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.
  • Employee events: We not only want to grow together, but also celebrate
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