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Data Analyst

TEKEVER

España

Presencial

EUR 40.000 - 60.000

Jornada completa

Hoy
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Descripción de la vacante

A leading technology firm in Madrid is seeking a skilled Data Analyst to contribute to advanced algorithms and data understanding. Responsibilities include conducting data analysis, building statistical models, and creating dashboards. Ideal candidates have a degree in relevant fields and at least 3 years of experience in data science. The role offers a dynamic environment with flexible work arrangements and opportunities for professional development.

Servicios

Excellent work environment
Professional development opportunities
Flexible work arrangements
Collaborative environment

Formación

  • 3+ years in data science or machine learning, especially with time series or predictive modeling.
  • Strong experience handling sensor data, GIS, unstructured text, and other multi-modal data types.
  • Proven ability to build, deploy, and monitor machine learning models in production.

Responsabilidades

  • Conduct in-depth analysis to identify patterns, anomalies, and insights across multi-modal datasets.
  • Present analytical findings to both technical and non-technical audiences.
  • Build and fit statistical and machine learning models; evaluate and refine them for performance.

Conocimientos

Data analysis
Machine learning
Python
SQL
Data visualization
Geospatial analytics
Problem-solving

Educación

Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields
Ph.D.

Herramientas

Pandas
NumPy
Scikit-learn
Power BI
Grafana
Google Cloud Platform
Descripción del empleo
Overview

We are seeking a skilled and motivated Data Analyst to join our team and contribute to the development, implementation, and optimization of advanced algorithms and models and data understanding. Your work will support key teams such as Field Operations, R&D, Flights, Simulation, Autopilot by automating workflows and enhancing decision support, mission planning, and situational awareness capabilities.

Responsibilities
  • Conduct in-depth analysis to identify patterns, anomalies, and insights across multi-modal datasets.
  • Present analytical findings to both technical and non-technical audiences, including stakeholders and leadership.
  • Translate business challenges into analytical solutions and data strategies.
  • Build and fit statistical and machine learning models; evaluate and refine them for performance.
  • Develop interactive dashboards for situational awareness using tools like Power BI and Grafana.
  • Collaborate with data engineers to optimize pipelines and ensure scalable, real-time data workflows.
  • Perform ad-hoc analysis for strategic decision support.
  • Ensure high standards of data integrity and accuracy.
  • Create intelligible reports with actionable conclusions and clear visualizations.
  • Integrate and analyse data from diverse sources including drone sensors, GIS, and real-time systems.
  • Partner with data scientists to monitor and enhance the performance of deployed models.
Profile And Requirements
  • Education
    • Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.
    • A Ph.D. is a plus.
  • Experience
    • 3+ years in data science or machine learning, especially with time series or predictive modeling.
    • Strong experience handling sensor data, GIS, unstructured text, and other multi-modal data types.
    • Familiarity with mission-critical domains such as field ops, aviation, or defense is highly valued.
    • Proven ability to build, deploy, and monitor machine learning models in production.
    • Experience working on real-time dashboards and decision systems.
  • Technical Skills
    • Programming & Software Engineering
      • Advanced proficiency in Python for data scripting, analysis, and automation.
      • Strong grasp of software engineering practices, including version control (Git) and DevOps basics.
    • Data Frameworks & Libraries
      • Hands-on experience with Pandas, NumPy, Scikit-learn for data manipulation and modeling.
      • Familiarity with ETL processes, database design, and vector database applications.
    • Data Storage & Querying
      • Strong command of SQL for complex data retrieval and optimization.
      • Experience working with DBMS, data warehousing, and cloud data storage (especially GCP).
    • Modeling & Statistical Analysis
      • Solid foundation in statistics: regression, hypothesis testing, distribution analysis.
      • Skilled in model fitting, feature engineering, and performance evaluation.
    • Data Visualization & Dashboarding
      • Expert in Power BI, Grafana, Looker, Streamlit, Gradio for reporting and dashboards.
      • Experience with Matplotlib, Seaborn, Plotly for advanced visual storytelling.
      • Strong data communication and storytelling capabilities.
    • Geospatial & Sensor Analytics
      • Experience with GIS systems, drone sensors, and tools such as GeoPandas, Rasterio, QGIS.
      • Ability to extract and interpret spatial and time-series insights.
    • Cloud & Deployment
      • Familiar with Google Cloud Platform and deployment of analytics/data tools on cloud infrastructure.
    Other Requirements
    • Excellent analytical and problem-solving skills, with a sharp eye for operational and strategic insight.
    • Demonstrated ability to work independently and collaboratively in a high-paced, multidisciplinary environment.
    • Awareness of AI ethics, fairness, and bias mitigation best practices.
    • Strong communication and interpersonal skills for cross-functional collaboration.
    What We Have To Offer You
    • An excellent work environment and an opportunity to create a real impact in the world;
    • A truly high-tech, state-of-the-art engineering company with flat structure and no politics;
    • Working with the very latest technologies in Data & AI, including Edge AI, Swarming - both within our software platforms and within our embedded on-board systems;
    • Flexible work arrangements;
    • Professional development opportunities;
    • Collaborative and inclusive work environment;
    • Salary compatible with the level of proven experience.

    TEKEVER is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

    Do you want to know more about us ?

    Visit our LinkedIn page at https://www.linkedin.com/company/tekever/

    Seniority level
    • Mid-Senior level
    Employment type
    • Full-time
    Job function
    • Information Technology

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    Madrid, Community of Madrid, Spain 1 day ago

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