Data Analyst

Eames Consulting
London
1 year ago
Applications closed

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Data Analyst (Cars Data Science & Analytics) - Manchester, UK

Junior Data Scientist / Data Analyst

Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Data Scientist (GIS) – Remote

Data Scientist

Data Scientist

***12-14 month FTC***


My client, a global insurance broker is looking for an experienced Data Analyst to join the team and play an important role in delivering on a very exciting Data Transformation project.

Responsibilities


  • Designing, maintaining, and updating key sales information for underwriters (underwriting dashboard).
  • Collaborating with IT and Data Engineers on changes to data layers and marts.
  • Selecting AI tools with IT for risk insights for underwriters.
  • Discussing analytics and insights with the business to enhance data awareness and analysis.
  • Designing dashboards and visualisations to showcase new analyses from actuarial teams and data scientists.
  • Providing data analytics support for decision-making in back-office functions (e.g., exposure management, finance, HR, claims).
  • Collaborating with Data Scientists to research, cleanse, analyse, and visualise external data sources.
  • Educating the business on available information to promote self-service and idea generation for future analyses.


Qualifications


  • Data Analysis/Visualisation Expert:Proficient in advanced techniques.
  • Programming Skills:Python experience is a plus.
  • Data Science Knowledge:Familiar with key methodologies.
  • Relevant Experience:2+ years in data analysis/visualisation, ideally in a Lloyd’s environment.
  • IT Proficiency:Skilled in essential software tools.
  • Organisational Skills:Strong planning and task management.
  • Communication Skills:Effective written and verbal communicator.
  • Agile Experience:Familiar with Agile practices and breaking down complex requirements.
  • Azure Experience:Knowledge of Azure technologies like Data Factory, SQL, Synapse Analytics, and Power BI is advantageous.

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