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For Companies At a Glance
- Tasks: Analyse complex data relationships and create impactful dashboards to drive decisions.
- Company: Join a forward-thinking organisation that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by uncovering insights that shape strategic decisions.
- Qualifications: Advanced SQL skills and experience with Python; strong analytical mindset required.
- Other info: Dynamic work environment with a focus on career development and learning.
The predicted salary is between 36000 - 60000 £ per year.
The 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.
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 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.
Data Analyst in Bristol employer: GM Analytic Software
Contact Detail:
GM Analytic Software Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL, Cypher, and visualisation tools like PowerBI or Grafana. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data analysis questions. Be ready to discuss how you've used data to drive decisions and solve problems in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with our needs.
We think you need these skills to ace Data Analyst in Bristol
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in SQL, Python, and data visualisation tools. We want to see how you can use these to analyse complex data and create insightful dashboards.
Be Clear and Concise: When explaining your experience, keep it straightforward. We love clear communication, so avoid jargon and focus on how your past work relates to the role of a Data Analyst with us.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Data Analyst role. Show us how your background fits perfectly with our needs.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at GM Analytic Software
✨Know Your Graphs
Make sure you understand the fundamentals of graph databases and how they differ from traditional databases. Brush up on Cypher queries and be ready to discuss how you've used them in past projects. This will show your potential employer that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Data Storytelling Skills
Prepare examples of how you've turned complex data analyses into clear, actionable insights. Think about how you can explain intricate relationships in a way that's easy for stakeholders to grasp. Practising this will help you communicate your findings confidently during the interview.
✨Demonstrate Your Technical Prowess
Be ready to discuss your experience with SQL, Python, and data visualisation tools like Grafana or PowerBI. Consider preparing a mini-project or case study that showcases your skills in these areas. This hands-on demonstration can really set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse specific datasets. Practise thinking on your feet and articulating your thought process clearly. This will help you demonstrate your analytical mindset and problem-solving abilities, which are crucial for a Data Analyst role.
