Data Analyst: Graph Database and Ontology Specialist
TEKEVER
Job Overview
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Job Description
About TEKEVER
Are you ready to revolutionise the world with TEKEVER? ๐๐
At TEKEVER, we lead innovation in Europe as the European leader in unmanned technology, where cutting-edge advancements meet unparalleled innovation.
๐ป Digital | ๐ก๏ธ Defence | ๐ Security | ๐ฐ๏ธ Space
We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges โ 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 โ whether at sea, on land, in space, or in cyberspace.
๐ 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 โ TEKEVER is the place for you. ๐๐ป๐ฏ
Mission: Data Analyst: Graph Database and Ontology Specialist
We are seeking a Data Analyst: Graph Database and Ontology Specialist 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
- Masterโs degree in Computer Science, Mathematics, Engineering or related field.
- 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.
- 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.
Profile Weโre 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.
Do you want to know more about us ?
Visit our LinkedIn page at https://www.linkedin.com/company/tekever/
Key skills/competency
- Graph Database
- Ontology
- Data Analysis
- SQL
- Cypher
- Python (Pandas, NumPy)
- Data Visualization (Grafana, PowerBI)
- Geospatial Analysis
- Anomaly Detection
- Stakeholder Communication
How to Get Hired at TEKEVER
- Research TEKEVER's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience with graph databases, data analysis, and technical environments.
- Showcase technical skills: Emphasize proficiency in SQL, Cypher, Python (Pandas, NumPy), and data visualization tools.
- Prepare for graph-focused questions: Understand knowledge graphs, ontologies, and their practical applications.
- Demonstrate problem-solving: Share specific examples of how you've investigated data to uncover root causes.
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