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Data Analyst at MWDN
Відправити резюмеMWDN Всі вакансії (23)
Деталі
Дата публікації
January 19, 2026
Локація
Israel, California
Кар'єрний рівень
Middle/senior
Освіта
Bachelor
Досвід
1-2 роки
ABOUT THE PROJECT
Fast-growing InsurTech start-up building an innovative AI, Machine Learning platform aiming to change the life insurance industry.
REQUIREMENTS
– 2+ years of industry experience as a Data Analyst within a Data Science or Analytics team.
– Strong experience with code versioning platforms (e.g., GitHub).
– Excellent proficiency with Python and core data libraries (Pandas, NumPy, etc.).
– Strong capabilities in data extraction, exploration, and in-depth analysis.
– Hands-on experience with feature engineering.
– Ability to work independently while collaborating effectively with cross-functional teams.
– Strong communication skills and a structured, problem-solving mindset.
– Proven ability to break down complex problems into manageable components.
– Fluent English.
– Nice to have: Experience with advanced data visualization libraries (e.g., Seaborn, Plotly).
– Experience with statistical feature selection methods.
– Background in Insurance or FinTech.
– Strong Excel skills.
– Strong experience with code versioning platforms (e.g., GitHub).
– Excellent proficiency with Python and core data libraries (Pandas, NumPy, etc.).
– Strong capabilities in data extraction, exploration, and in-depth analysis.
– Hands-on experience with feature engineering.
– Ability to work independently while collaborating effectively with cross-functional teams.
– Strong communication skills and a structured, problem-solving mindset.
– Proven ability to break down complex problems into manageable components.
– Fluent English.
– Nice to have: Experience with advanced data visualization libraries (e.g., Seaborn, Plotly).
– Experience with statistical feature selection methods.
– Background in Insurance or FinTech.
– Strong Excel skills.
RESPONSIBILITIES
– Collaborate with the data team on building and implementing ML classification and regression models (e.g., customer churn, segmentation, recommender systems).
– Clean, transform, and ensure data quality throughout all stages of data acquisition and processing.
– Collect and analyze external data sources to support modeling and insights.
– Analyze large volumes of complex data involving multiple variables and business considerations.
– Translate data into clear business insights and articulate the story behind the numbers.
– Support and enhance reporting platforms and analytical dashboards.
– Clean, transform, and ensure data quality throughout all stages of data acquisition and processing.
– Collect and analyze external data sources to support modeling and insights.
– Analyze large volumes of complex data involving multiple variables and business considerations.
– Translate data into clear business insights and articulate the story behind the numbers.
– Support and enhance reporting platforms and analytical dashboards.
WHAT WE OFFER
– People-oriented management without bureaucracy.
– The friendly climate inside the company is confirmed by the frequent comeback of previous employees.
– Flexible working schedule.
– Full financial and legal support for private entrepreneurs.
– Free English classes with native speakers or with Ukrainian teachers (for your choice).
– Dedicated HR.
– The friendly climate inside the company is confirmed by the frequent comeback of previous employees.
– Flexible working schedule.
– Full financial and legal support for private entrepreneurs.
– Free English classes with native speakers or with Ukrainian teachers (for your choice).
– Dedicated HR.
COMPENSATION & BENEFITS
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СХОЖІ ВАКАНСІЇ
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