Senior Data Analyst

About Équité Association

As a not-for-profit organization, Équité Association supports Canadian insurers to fight fraud by using advanced analytics, intelligence best practices, and coordinated investigations. Combining expert investigative services and advanced analytics, Équité serves as a unified organization, delivering improved service and fraud analytics for vehicle and cargo recovery. Leveraging relationships with law enforcement, partners and industry organizations, Équité serves as a centre point for insurance crime across all insurers, and is protecting Canadians by working to eradicate insurance fraud and crime. Équité, is invested in diminishing crime in Canada, and protecting all Canadians against exploitation.

About the Role

We use a wide range of data and intelligence to achieve four objectives:

1. Help insurers identify fraud through integrated advanced analytics and investigations;
2. Enhance and enable cross-insurer investigations coordinated by Équité;
3. Lead stakeholder in vehicle and hard-asset recover & identification services; and
4. Support law enforcement, regulators, professional colleges and other public investigative agencies to identify criminals and bring them to justice. We will also endeavour to raise public awareness about consumer scams: how they work and how to detect and prevent them.

We are seeking an experienced and analytical Senior Data Analyst to join our team. The successful candidate will be responsible for collecting, processing, and analyzing data to help inform business decisions. The ideal candidate will have a strong background in data analysis, excellent problem-solving skills, and the ability to communicate complex findings to a non-technical audience. The Senior Data Analyst, reports to the Director, Analytics and Product Development and requires the ability to anticipate needs, think critically, and generate analytical insights with a high level of professionalism and confidentiality.

The position offers a motivated, astute person the opportunity to have an indelible impact on the organization’s evolution—an organization focused on creating a vibrant, accessible culture that welcomes diversity, supports the members, and balances technology, process and people.

Specific accountabilities include:

• Collect data from various sources including databases, APIs, and external datasets.
• Clean and preprocess data to ensure its quality and integrity.
• Maintain and update data systems and databases.
• Analyze large datasets to identify trends, patterns, and insights.
• Perform statistical analysis and hypothesis testing.
• Develop and apply data models and algorithms to solve business problems.
• Create detailed reports and dashboards to present data insights to stakeholders.
• Use data visualization tools to illustrate complex data in a clear and concise manner.
• Generate ad hoc reports as needed by different departments.
• Work closely with cross-functional teams to understand data needs and deliver actionable insights.
• Present findings and recommendations to senior management and stakeholders.
• Train and mentor junior data analysts on best practices and analytical techniques.
• Stay updated with the latest industry trends and advancements in data analytics.
• Recommend and implement improvements to existing data analysis processes.
• Evaluate and integrate new tools and technologies to enhance data analysis and predictive analytics capabilities.

Qualifications

• A university degree in the field of STEM.
• 5+ years of combined experience in data science, data analysis and/or related field.
• 3+ years of experience with Tableau preferred.
• Strong experience with Agile tools like Jira and Confluence.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Proficiency in statistical analysis and data modeling.
• Strong communication skills, both written and verbal.
• Ability to explain complex concepts to non-technical audiences.
• A strong analytical mindset coupled with the capacity to convert business needs into technical specifications and vice versa.
• Excellent written and verbal communication skills and a friendly, collaborative attitude.
• Comfortable and excels within remote work environment
• Advanced knowledge of SQL for querying databases.
• Familiarity with machine learning techniques and tools is a plus.

We encourage applications from all backgrounds and communities. We highly value our diversity and inclusion culture and welcome all candidates, including women, BIPOC, LGBTQ2S+ and allies.