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Sr. Business Data Analyst to support the asset management data platform team for a large insurance client - 4963

Toronto, ON
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Date d'entrée en fonction : 1 poste à combler dès que possible

Sr. Business Data Analyst to support the asset management data platform team for a large insurance client - 4963

Duration: 1 year (possibility of extension)

Location: Remote (Toronto, Waterloo)

Must haves:

  • 8+ years of experience as a Business Data Analyst or Business Systems Analyst working with data analysis, data modeling, data governance and process maps
  • 5+ years of experience in Asset Management and/or capital markets.
  • Experience with technologies such as SQL, Python in cloud (AWS) environments
  • Experience with Agile delivery model tools (e.g., Jira; confluence; Miro)

Nice to haves:

  • Bachelor's degree in data science, computer science, statistics, mathematics, or training in related field.

Job 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.
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