Senior data analyst leading race and social - identity data strategy for Ottawa Police Service. Producing equity analyses, dashboards, and insights to improve policing and community safety.
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
Requirements
- 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
Benefits
- 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.
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