About the role

Investments Data Analyst responsible for data analysis, mapping, modeling, and governance at SLC Management. Collaborating with teams to create consumable data products for capital markets.

Responsibilities

You will be responsible for data analysis, data mapping, data modeling, governance and testing of various data sources and platforms
Collaborate with other data analysts, engineers, and business stakeholders to create derived consumable data products
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
Adherently, 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
Provide insights and input into data product strategies

6+ years of hands-on experience in data analysis and profiling, data product creation and data governance
6+ years of experience in Asset Management/capital markets with very strong and 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, BI platforms and modeling technologies in cloud environments
Experience with Agile delivery 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; leading diverse stakeholder groups to agreement
Bachelor's degree in data science, computer science, statistics, mathematics, or training in related field

Excellent benefits and wellness programs to support the three pillars of your well-being – mental, physical and financial – including generous vacation and sick time
Market-leading maternity, parental and adoption leave top up program
A partially-paid sabbatical program
Pension, stock and savings programs with an employer-paid match to help build and enhance your future financial security
Flexible work environment with a friendly, caring, collaborative and inclusive culture focused on career growth development
Award winning workplace culture - Great Place to Work® Certified in Canada and the U.S.