обновлено 5 дней назад
Senior Technical Analyst, Data Engineering and Business Intelligence (Python/Snowflake)
120 000 - 150 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Technical Analyst, Data Engineering and Business Intelligence (Python/Snowflake): Building, automating, and scaling internal data pipelines, analytics tools, and BI dashboards for product research, reporting, and capital markets functions with an accent on Python, Snowflake data modeling, SQL, and Tableau visualization. Focus on modernizing spreadsheet-based workflows, automating validation and analytical processes, and enabling reliable self-service analytics through governed data models.
Location: Flexible hybrid schedule at 483 Bay Street in Toronto until approximately late 2026, then at 3 Robert Speck Parkway in Mississauga. Current work authorization for Canada is required.
Salary: CAD 120,000–150,000 annual base salary plus a discretionary performance bonus.
Company
provides investment portfolios and services to Canadian individuals and institutions and develops products and analytics for financial markets.
What you will do
- Design, develop, and maintain Python-based data pipelines, automation scripts, and internal analytics tools.
- Build and optimize data transformations, models, and workflows in Snowflake and Informatica Cloud.
- Modernize spreadsheet-based processes into centralized Python and Snowflake solutions.
- Automate reporting, data validation, back-testing, and analytical workflows for product research, performance reporting, risk ratings, fund comparisons, and related initiatives.
- Develop and maintain Tableau dashboards and reports, with additional support for Power BI and SAP Business Objects.
- Collaborate with Product, BI, IT, and Engineering teams on data governance, security, access controls, and BI platform administration.
Requirements
- University degree in Computer Science, Engineering, or equivalent practical experience.
- At least 5 years of experience in data engineering, BI analytics, or a closely related role.
- Strong proficiency in Python for data engineering, automation, and analytics.
- Strong hands-on experience with Snowflake, data modeling, SQL development, performance optimization, and relational or cloud-based data platforms.
- Experience building internal data pipelines, automation, analytics tools, and BI solutions; Tableau experience is preferred.
- Strong communication skills, experience with Git or similar version control, and understanding of data governance, security, and access management.
Nice to have
- Experience supporting financial products or capital markets analytics.
- Experience with Tableau Cloud, Power BI Service, SAP Business Objects, or BI platform administration.
- Experience with Informatica Cloud, orchestration, scheduling, workflow automation, or AWS services such as S3, IAM, and Lambda.
Culture & Benefits
- Flexible working arrangements with remote, hybrid, and in-office options.
- Company RRSP contributions after six months, with no employee matching required.
- Health benefits from the first day, including employer-paid premiums and up to $5,000 annually for mental health services and therapy.
- Parental leave top-up to 100% of salary for 25 weeks and up to $650 for home office equipment.
- Paid volunteer time, professional development courses, tuition reimbursement, and support for completing a required designation.
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