
Data Analyst/Scientist
The Insurance Market, Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Αθήνα • 🇬🇷 Greece
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
AirflowAWSAzureBigQueryCloudETLGoogle Cloud PlatformNumpyPandasPythonScikit-LearnSQL
About the role
- Analyze large volumes of structured and unstructured data to uncover trends, patterns, and business opportunities
- Develop, automate, and maintain robust ETL/ELT pipelines using SQL and Python
- Build predictive models and conduct statistical analyses to support business use cases
- Collaborate with cross-functional teams to define KPIs and deliver clear, data-backed insights
- Apply LLMs and generative AI tools (e.g., OpenAI, Vertex AI) to tasks such as summarization, classification, and intelligent extraction
- Design and deploy AI-assisted prototypes, tools, or data workflows
- Ensure compliance with data privacy regulations (e.g., GDPR) and maintain high data integrity standards
Requirements
- 2-5 years of hands-on experience in data analytics, data science, or a similar role
- Proficiency in SQL (complex joins, window functions, query optimization)
- Strong command of Python with libraries including: pandas, numpy – data handling, scikit-learn – machine learning, matplotlib, seaborn, or plotly – data visualization
- Experience with LLMs, embeddings, or API-based AI tools (e.g., OpenAI, Hugging Face, Vertex AI) will be considered a plus
- Understanding of prompt engineering and LLM integration best practices
- Ability to communicate findings effectively to both technical and non-technical audiences
- Experience working with relational databases and cloud data environments
- Desired Qualifications
- Experience with Google Cloud Platform, especially: BigQuery – advanced SQL and performance tuning, Vertex AI – ML model training, deployment, and monitoring, Cloud Functions – event-driven workflows and automation, API integrations – ingesting, enriching, and automating data pipelines
- Any experience with similar platforms such as AWS or Azure is also valued
- Familiarity with Qlik Sense and Looker (Data Looker) for BI and dashboard development
- Exposure to modern data stack tools (e.g., dbt, Airflow, Prefect)
- Experience with NLP or vector-based search applications
- Understanding of data governance and security in regulated industries (e.g., insurance, healthcare, finance)
Benefits
- Private Health Coverage on the Company’s group program & a yearly check-up plan
- A great opportunity to grow and work with the most amazing people in the industry
- Experiencing a working environment that gives employees large goals, autonomy and mentoring, which creates incredible opportunities, both for you and the company
- Hybrid working
- A relaxed and modern working atmosphere located in the heart of Athens
- Personalized working station & laptop
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonETLELTdata analyticsdata sciencepredictive modelingstatistical analysisNLPprompt engineering
Soft skills
communicationcollaborationdata-driven insightsproblem-solvinganalytical thinking