Role Responsibilities Include (but are not limited to):
• Database governance and maintenance, including schema structure, table creation, and ensuring database best practices and naming conventions.
• Building data pipelines to source across the client’s data ecosystem.
• Working in different data platforms, including on-premises and cloud-based infrastructures.
• Communicating technical concepts in on-technical terms.
• Fostering strong internal and external networks and works across multiple teams to achieve business objectives.
• Collaborating with other team members to deliver analytics solutions.
• Collaborating with broader technology and cybersecurity teams to source data and keep in compliance with data security guidelines.
• Autonomously running data tests and identifying solutions. Escalating solutions to leadership as needed for approvals.
• Broader work or accountabilities may be assigned as needed.
Must-Have Skills:
• 4+ yrs of relevant experience and education
• SQL/Python/R/GIT experience
• Knowledge and experience in building solutions in data cloud platforms, including Snowflake, AWS, and/or Azure is essential.
• Experience in building and automating datasets and reports.
• Experience in proper data documentation and version control is essential.
• Experience in scheduling and automating advanced analytics solutions (e.g. machine-learning or generative AI) is strongly preferred.
• Proficient in data-driven decision-making and using insights to guide strategic actions.
• Ideal candidates will be personable with strong written/verbal communication skills in addition to technical skills.
• Investment industry knowledge is an asset, including basic knowledge of sales and portfolio management.
• Previous banking experience a nice to have.
• Previous experience with Vermillion an asset.