Data Integration Analyst - Hybrid or Remote fromEMEA

About the Company

Wakam is an insurer that designs tailor‑made white‑label insurance solutions for distribution partners, insurance professionals, platforms, and retailers. Operating in 32 European countries and headquartered in Paris, Wakam specializes in developing next‑generation embedded insurance solutions with its Play & Plug platform, enabling fully digitized products and services.

Mission

Imagine you buy a bike from a bike store. Because the bike store is not an insurer, it must contract with an insurer to provide coverage for the bike. Wakam’s role is to bridge that partnership and provide the data integration and consulting needed for seamless coverage.

Responsibilities

BUILD side

• Discuss with the bike store or any company that sells insurance products (without being an insurer) to implement data flows between the broker and Wakam.
• Work with the partner to ensure partnership data is provided to business and technical teams.
• Manage your own portfolio of partnerships.
• Interact closely with Wakam Business teams to understand the product and data needs.
• Provide data advice and requirements to the partner based on product specificities and Wakam’s data needs.
• Work iteratively with partners to engineer the data flows in our Git repo, requiring a good knowledge of Python and SQL.
• Report on data implementation projects progress via dedicated tools, in Data Office committees and Business Committees.
• Contribute to internal transverse technical and business projects and to continuous internal process improvement.

RUN side

• Monitor and ensure that our monthly data integration with 150+ partners is executed with perfection.
• Be a key contact for internal clients (Technical Reserving and Profitability Department, Reinsurance, Accounting, Compliance) and partners for various data topics.
• Take charge of request incidents, problems, evolution requests, and assistance, and handle them in compliance with SLA and insurance standards.
• Analyse, follow up on problems escalated to the various departments until they are resolved, and resolve complex data problems.
• Communicate regularly on action plans and the progress of requests, in writing and verbally.
• Commit to our Git repo any necessary changes and maintain ability to understand and code in Python.

Qualifications

• Master’s degree in Engineering with 2‑5 years of experience in data management, data consulting, analytics, or analytics engineering.
• Ability to manage multiple projects simultaneously.
• Good communication skills in English and French.
• Expertise in SQL for analytics.
• Familiarity with at least two of: Azure, Snowflake, DBT, Databricks, PowerBI.
• Proficiency in Python is a plus.
• Insurance knowledge is a plus.

Recruitment Process

• Interview with Danny, Lead Recruiter.
• Technical interview.
• Hiring manager interview.
• Interview with our VP Data.
• Culture fit interview with our Head of Talent.