This vacancy is opened on our outsourcing project.

About the client

Client is a platform for modern insurers that supports digital transformation, emerging technologies, and new business models. They are rooted in both technology and insurance expertise, delivering innovative software solutions. They allow providers to produce more for their clients while significantly reducing the administrative burden. Core platform lets clients collaborate from anywhere using powerful, web-based tools that streamline tasks, optimize workflows, and make doing business with your company easy for agents and customers.

Our Values.

The Role
Are you a data expert who thrives on transforming complex, messy data into clean, reliable systems that drive business outcomes? We are looking for a Data Analyst III to lead enterprise-level data conversion projects as we implement our next-generation insurance software solutions.

In this role, you’ll be a technical SME and data architect, responsible for guiding clients through the full lifecycle of insurance data conversions—from legacy system extraction to transformation and validation within our platform. You’ll collaborate closely with internal teams and client stakeholders to ensure data integrity, compliance, and scalability across all phases of implementation.

This is a high-impact role ideal for someone who has deep experience in ETL, data mapping, and insurance industry data standards, and is passionate about solving tough data challenges at scale.

What You'll Do:

• Lead complex data conversion projects across insurance core systems (claims, policy, billing) as a technical SME.
• Design and implement scalable ETL processes using SQL, Azure Data Factory (ADF), and other Microsoft data tools to extract, transform, and load legacy and third-party data.
• Create and maintain detailed data mapping specifications between source systems and Spears software suite.
• Validate, cleanse, and transform large, structured and unstructured data sets to ensure accuracy and compatibility.
• Troubleshoot data anomalies and develop repeatable data quality processes.
• Work cross-functionally with Business Analysts, Product Managers, and Client Success Teams to understand requirements and deliver data-driven solutions.
• Integrate third-party systems and vendor data feeds into the Spear platform, documenting all technical data workflows.
• Contribute to enterprise-wide data standards, best practices, and reusable frameworks for future client implementations.
• Assist in building automated reporting and analytics solutions with Power BI, supporting client and internal data visibility.

Required Qualifications

• 3+ years of experience in data conversion, ETL development, or data architecture, preferably in the insurance or Insurtech industry.
• Proven experience working with insurance data including claims, policy, rating, and financial data.
• Advanced proficiency in SQL and experience managing both relational and non-relational databases.
• Hands-on experience with Microsoft Power Platform tools (Power BI, Power Automate, Power Apps) and Azure Data Factory (ADF).
• Strong background in data mapping and data validation techniques.
• Excellent problem-solving skills with a keen eye for data inconsistencies and integrity issues.
• Strong written and verbal communication you can clearly articulate technical details to non-technical stakeholders.
• Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field (or equivalent experience).

Nice to Have

• Experience with insurance system conversions (Guidewire, Duck Creek, Origami, legacy AS400 systems, etc.
• Knowledge of API-based data integrations

We're offering

• Competitive salary.
• Working Hours: Monday-Friday 9:00-5:00 MDT, but for a great candidate there is some time zone flexibility).
• Ability to work remotely.

Waiting for your CV!