Description PPI company overview: PPI (an independent subsidiary of iA Financial) is an Insurance Marketing Organization that sits between independent advisors and insurance companies. From coast-to-coast, we provide value-added services and support such as digital tools, education, marketing, and processing, to help advisors elevate and grow their business with a socially responsible mindset.

At PPI, each day you have the opportunity to make a meaningful difference when you support our independent insurance advisors in providing financial security and peace of mind to their clients: Canadian families and businesses.

When you join PPI you will be part of a diverse, inclusive and equitable place to work that values different perspectives. You will benefit from a culture that is people-focused, inclusive and collaborative with opportunities to learn and develop your skills, develop your career and make a meaningful impact.

Our people drive our progress through innovative ideas and a commitment to excellence. We work hard and always ensure we have fun along the way.

For more information about PPI visit: www.ppi.ca.

Senior BI Developer: We are seeking a mid-senior to senior-level BI Developer who will play a pivotal role in scaling up our business intelligence operations. This role is meant as a bridge between business and IT, with functions overlapping data engineering, data analysis and dashboarding. It aims at building a robust data backend that will greatly enable the work of data analysts as well as move the team further along data governance and IT compliance. The ideal candidate will have a strong understanding of both on-premises and cloud data environments, with expertise in MS SQL Server / SSIS, Azure services, Snowflake, and Power BI. They will collaborate with and work in partnership with IT, security, and technology teams to ensure alignment with best practices, technical solutioning and security in addition to business requirements following SDLC practices.

Key Responsibilities: Data Architecture & Development

• Collaborate with data analysts to understand data needs and translate them into technical solutions.
• Design, develop, and maintain scalable data architectures, tables and pipelines.
• Implement, build and extract data in warehouse/data lake using SQL Server (on-prem) and Azure cloud technologies, in collaboration with IT.
• Collaborate and assist in new data acquisition and examinations.
• Design and develop data integration packages in the pursuance of ETL/ELT.
• Document processes and development.
• Actively share knowledge and promote best practices related to data architecture, acquisition, integration, warehousing and governance, including but not limited to creating documentation, holding training sessions, and participating in cross-functional team meetings to ensure that all teams and technical counterparts are aligned with the latest methodologies and technologies.

Cloud Integration

• Utilize Azure services (ADLS, Databricks, ADF) and Snowflake to centralize and enhance data availability.
• Migrate on-prem data solutions to cloud platforms where applicable.

Data Governance

• Ensure data quality, integrity, and security across all platforms. Work with leadership to ensure the proper controls are being managed and reviewed for all data integrations.
• Develop and maintain a data inventory in the analytics warehouse, which includes a full list of available data models, model attributes, statistical reporting inventory, ad hoc data marts, and user access
• Own the single source of truth conceptual model in the data warehouse and ensure that all enrichments adhere to the model design principles.
• Collaborate with IT to ensure privacy / security and access to data is properly aligned to organizational standards.
• Provide thought leadership and support executive decision making around the use of data, setting enterprise standards, and enforcing data governance policies across the organization
• Implement best practices for data governance and compliance.
• Provide project management for the implementation of data strategy and governance projects.

Technical Support & Collaboration

• Provide technical guidance and support to the BI team and other stakeholders.
• In collaboration with IT, leverage Azure DevOps for version control, CI/CD pipelines, and project tracking.

Business Intelligence Enablement

• Support the analysis, design, development and implementation of new reporting requirements.
• Assist with development and optimization of Power BI dashboards, reports, and data models.
• Assist in the design, development, and implementation of Microsoft Power Platform solutions.

Business Acumen

• Apply industry knowledge of life insurance, financial reporting, and brokerage to inform data solutions.
• Communicate effectively with technical and non-technical stakeholders to align solutions with business goals and corporate strategy.

Education, Experience And Skills Education & Experience

• Bachelor’s or master’s degree in computer science, Information Systems, or related field.
• 5+ years of experience in data engineering and business intelligence development.

Technical Skills

• Proficient in SQL Server, SSIS and T-SQL programming.
• Experience with Azure services: Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory (ADF).
• Expertise in Snowflake data warehousing.
• Strong skills in Power BI development.
• Familiarity with Azure DevOps and agile methodologies.
• Experience with Version Control Systems or Source Code Management tools such as GitHub for version control, collaboration, and code management.
• Knowledge of data modeling, ETL processes, and data warehousing concepts.

Soft Skills

• Excellent communication skills in English; proficiency in French is a plus.
• Strong problem-solving abilities and attention to detail.
• Ability to work collaboratively in a team environment and support cross-functional teams.
• Collaborate with other team members in planning, reviews and retrospectives.
• Demonstrated supervisory skills an asset.
• PowerPoint and presentation skills.

Tools & Software

• Proficient with Microsoft Office Suite: Outlook, Teams, PowerPoint, Excel, Word.
• Familiarity with other BI tools and programming languages is a plus.

Business Knowledge

• Understanding of life insurance, financial reporting, and brokerage industries is highly desirable.

We thank all applicants for applying, however, only those selected for an interview will be contacted. Your resume may be used for other vacancies.