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.
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 communication and presentation skills.

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
A flexible work environment with a friendly, caring, collaborative and inclusive culture focused on career growth development

Associate Director, Investments Data Analyst

Key skills