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Data Analyst: Graph Database & Ontology Specialist

TEKEVER

Posted 4 days ago

About this role

Are you ready to revolutionise the world with TEKEVER? πŸš€πŸŒ

At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation.

πŸ’» Digital | πŸ›‘οΈ Defence | πŸ”’ Security | πŸ›°οΈ Space

We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges β€” from protecting people and critical infrastructure to exploring space.

We offer a unique surveillance-as-a-service solution that delivers real-time intelligence, enhancing maritime safety and saving lives. Our products and services support strategic and operational decisions in the most demanding environments β€” whether at sea, on land, in space, or in cyberspace.

🌐 Become part of a dynamic, multidisciplinary, and mission-driven team that is transforming maritime surveillance and redefining global safety standards.

At TEKEVER, our mission is to provide limitless support through mission-oriented game-changers, delivering the right information at the right time to empower critical decision-making.

If you're passionate about technology and eager to shape the future β€” TEKEVER is the place for you. πŸ‘‡πŸ»πŸŽ―

Mission:

We are seeking a Data Analyst to go beyond traditional rows-and-columns reporting and work with connected data across the entire organization. Using our Knowledge Graphs and ontologies, you will extract actionable insights that span multiple domains: from production and operations to mission planning and organizational processes. Your analyses will not just explain what happened; they will reveal relationships and dependencies across the company, helping drive operational and strategic decisions.

What will be your responsibilities:

  • Graph Data Analysis: Develop complex SQL and Cypher queries to analyze relationships across missions, sensor logs, and geospatial data.

  • Ontology & Data Quality: Ensure incoming data correctly maps to defined ontologies; identify inconsistencies in drone capabilities, classifications, and sensor readings.

  • Operational Dashboarding: Build real-time dashboards (Grafana, Streamlit, PowerBI) that visualize system states and network dependencies, not just metrics.

  • Pattern & Anomaly Detection: Apply statistical methods to detect deviations and anomalies in mission data.

  • Stakeholder Reporting: Convert complex graph analyses into clear, executive-level summaries for Operations and R&D.

  • Ad-Hoc Analysis: Rapidly investigate data to support mission debriefs and failure analysis.

Profile and requirements:

  • Querying: Advanced SQL required; experience with Cypher (Neo4j) or ability to ramp up quickly.

  • Data Processing: Strong Python skills (Pandas, NumPy).

  • Visualization: Proven data storytelling skills using Grafana, PowerBI, Plotly, or Streamlit.

  • Geospatial Analysis: Experience with spatial data, GIS tools, or trajectory analysis.

Core Analytics Profile

  • 3+ years in data analysis or business intelligence in a technical environment.

  • Solid statistical foundations (distributions, correlation vs. causation, basic regression).

  • Understanding of data modeling, schemas, and data governance

Education

  • Master’s degree in Computer Science, Mathematics, Engineering or related field.

Profile We’re Looking For

  • Analytical Investigator: You dig into data to uncover root causes.

  • Clear Communicator: You can explain complex graph relationships in plain language.

  • Production-Focused: You build fast, resilient dashboards that scale with data growth.

What we have to offer you:

  • An excellent work environment and an opportunity to make a difference;

  • Salary Compatible with the level of proven experience.

Do you want to know more about us ?

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

Job details

Workplace

Office

Location

Bristol, United Kingdom

Job type

Full Time

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