Data Analyst

MWDN connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We aim to ensure our employees enjoy a rewarding and secure experience while collaborating with prestigious international clients.

Here’s what you can expect when you get employed by MWDN:

• Security first. We vet our clients to eliminate risks, ensuring reliability and timely payments for your hard work—no fraud or unforeseen events here!
• Career support. If a match isn't right, we're here for you. We actively assist our employees in finding new opportunities that fit their skills and aspirations.
• Legal assistance. We provide guidance on legal matters (e.g., opening and administering your private entrepreneur account, taxes, army enrollment, etc.).
• Professional development. We offer English courses and other engaging activities, including team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region by DOU, and we pride ourselves on our transparency and commitment to our team. Curious to learn more?

Discover what our employees say about us in their DOU reviews: MWDN reviews.

Fast-growing InsurTech start-up building an innovative AI, Machine Learning platform aiming to change the life insurance industry. They are helping insurers to become data-driven and produce insights to inform decision-making and drive new business strategies at the corporate level.

As they continue to scale, they are looking for an experienced Data Analyst to work with them and support our R&D department. This is a unique opportunity for a highly capable, self-motivated professional to take ownership of data narratives and influence the core logic of our products while working in a flexible engagement model.

Domain: InsurTech

Location: Israel, California

Company size: 11-50 employees

As an external Data Analyst, you will be responsible for modeling, analyzing, and reporting data across our platform. You will own analytical outputs and dashboards, extract KPIs, perform deep analyses, and contribute data-driven features to our machine learning models. You will work closely with internal teams, quickly understand business and client needs, and help deliver high-quality analytical outputs to our customers.

• 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.

• 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.

• 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

✅ Submit a CV — ✅ Intro call with a Recruiter — ✅ 1-2 Client interviews — ✅ Offer