Data Analyst

GM Analytic Software
Bristol
2 months ago
Applications closed

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Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

OverviewThe Role : Data Analyst: Graph database and ontology specialist. 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.
Key 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.

Requirements
Technical Skills

  • 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

  • Masters degree in Computer Science, Mathematics, Engineering or related field.

Profile Were 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.


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