Senior Data Analyst, Data Platform (Asset Management) Client: Insurance Company Role: Senior Data Analyst, Data Platform (Asset Management) Role Type: Contract –1 year Salary/Rate: Open to discuss Location: Canada (Hybrid) We are a global institutional asset manager that provides innovative and diversified solutions to meet our clients’ evolving needs. Our history of organic and strategic growth reflects this commitment with over [CA$335 / US$260] billion in assets under management. We offer the best of two worlds to professionals looking for opportunity, a collaborative environment, challenges, and growth. We are breaking ground with innovative solutions for a growing institutional client base of more than 1000 organizations. We are aligned with one of the world’s leading financial services companies, and benefit from the stability and strength of that relationship. Our teams live by a set of core beliefs that put our clients’ needs and goals first. We are looking for talented professionals at all stages of their financial careers: those who are ready to learn, ready to collaborate and those who are ready to lead. Senior Data Analyst Are you passionate about data? Do you want to join a dynamic team that produces data to drive business decisions and outcomes? Are you passionate about delivering innovative solutions in a fast paced, growing asset management environment. If yes, then read on We are looking for a data analyst to join our Data Platform Team. You will be responsible for data analysis, data mapping, data modeling, governance and testing of various data sources and platforms. You will also collaborate with other data analysts, engineers, and business stakeholders to create derived consumable data products. This role includes thorough analysis and understanding of capital markets data so a strong background in Asset Management/Capital Markets is required. Proficient facilitation, interpersonal and elicitation skills are also imperative to capture complex business/data requirements in this fast-paced environment. Responsibilities • Perform data mapping and data modeling activities to ensure data quality and integrity across different data sources and platforms. • When establishing new data products, define, develop and implement the component defined within the data certification process. • Adhere to, enhance and support governance policies and procedures by ensuring data attributes are clearly defined and data security, privacy, and compliance requirements are met. • Support Data Owners/Steward in resolving technical data-related issues using specialized skills and tools. • Conduct data/process testing and validation to identify and resolve issues and anomalies. • Analyze and interpret data using various tools and techniques to generate insights and recommendations for business stakeholders. • Define and clearly articulate problem statements while communicating and presenting data insights/recommendations to various audiences, both technical and non-technical. • Manage discussions, negotiations and conflicts through resolution, using communication strategies that align with various audience styles and cultures. Qualifications • 8 years of hands-on experience in data analysis, data modeling, data governance, or data engineering. • 5 years of experience in Asset Management and/or capital markets with strong/broad domain knowledge of investment instruments and the asset management business. • Strong analytical and problem-solving skills. • Ability to work independently and collaboratively in a fast-paced environment. • Practical experience with technologies such as SQL, python in cloud environments. • Experience with Agile delivery model, tools (e.g., Jira; confluence; Miro), and writing technical user stories. • Evidence of effective and efficient delivery in a virtual, multi-site environment. • Highly motivated with demonstrated eagerness for continuous learning and self-growth. • Proven communication, consultation, and facilitation skills to lead diverse stakeholder group to agreement. • Bachelor's degree in data science, computer science, statistics, mathematics, or training in related field. • Excellent communication and presentation skills.