Advisor, Data Analytics Enablement
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
- Education
- Master’s degree
- Posting language
- English
- Posted
Original job description
ABOUT US
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
We invest funds for the pension plans of the federal public service, the Canadian Forces, the Royal Canadian Mounted Police and the Reserve Force. Headquartered in Ottawa, PSP Investments has its principal business office in Montréal and offices in New York, London and Hong Kong.
Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world’s top companies. At PSP Investments, you’ll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.
ABOUT THE TEAM
The Data Analytics Enablement team owns and supports PSP's Data Analytics platform, the foundation underpinning data integration, market data provisioning, and data quality and cataloguing across the organization. We also play a key role in providing support and subject matter expertise to colleagues across PSP throughout their analytics development cycle.
ABOUT YOUR ROLE
As an Advisor, Data Analytics Enablement, you’ll:
- Liaise with, guide and support business partners in defining and implementing analytical solutions in support of their strategic initiatives and vision
- Analyze the needs of business units and stakeholders and orient the development of analytics solutions to support their operations
- Provide expertise and guidance on the development, transversal alignment and implementation of the team’s roadmap, to enable data-driven decision making and help meet and exceed corporate objectives
- Serve as a key advisor on analytics solutions across the team
- Build proficiency with emerging AI tools and apply them to improve team efficiency
- Ensure the chosen methodologies, analytical techniques, approaches and tools follow industry best practices, and that modeling choices are sound
- Guide team members in the definition and implementation of solutions and contribute to team effectiveness through coaching and knowledge sharing
- Monitor the industry and emerging analytics technologies and trends, and assess their benefits, risks and success factors for PSP
WHAT YOU’LL NEED
- Master's degree in a relevant discipline (financial engineering, analytics, mathematics, etc.) required; CFA, FRM or PRM designation is an asset
- A minimum of five (5) years of relevant experience in analytics or a related field, including translating stakeholder needs into data and analytics requirements
- Technical fluency, with programming skills in Python, SQL, and/or Databricks, with hands-on experience in cloud data platforms such as Snowflake
- Understanding of financial modeling, investment and risk management practices
- Strong analytical and problem-solving skills, and a deep understanding of the business to support stakeholders
- Excellent written and spoken communication skills
- Bilingualism: English and French (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)
We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:
- Investment in career development
- Comprehensive group insurance plans
- Competitive pension plans
- Unlimited access to virtual healthcare services and wellness programs
- Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers
- A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance
- Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off
- A hybrid work model that includes four in-office days, Monday through Thursday
- The opportunity to work temporarily from another location in accordance with the applicable policy
*Benefits package may vary based on your employee type.
At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.
Visit us on www.investpsp.com/en/
Follow us on LinkedIn
More about this job
Responsibilities
The Advisor will liaise with business partners to define and implement analytical solutions while providing expertise on the team's roadmap. They will also monitor emerging analytics technologies and guide team members through coaching and knowledge sharing.
Requirements
Candidates must hold a Master's degree in a relevant discipline and possess at least five years of experience in analytics. Technical proficiency in Python, SQL, and cloud platforms like Snowflake is required, along with an understanding of financial and risk management practices.
Skills
- Data analytics
- Python
- SQL
- Databricks
- Snowflake
- Financial modeling
- Risk management
- Data integration
- Data quality
- Cloud data platforms
- AI tools
- Analytical solutions
- Stakeholder management
- Strategic planning
- Coaching
- Knowledge sharing
Benefits
- Competitive pension plans
- Virtual healthcare services
- Wellness programs
- Gender-inclusive paid family leave
- Family-building support
- Vacation days
- Summer Friday afternoons off
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Finance & Accounting
- Technology
- Consulting
- Management & Leadership
Keywords
- Data Analytics
- Python
- SQL
- Databricks
- Snowflake
- Cloud Data Platforms
- Financial Engineering
- Financial Modeling
- Risk Management
- AI Tools
- Data Integration
- Data Quality
- CFA
- FRM
- PRM
- Analytics Roadmap
- Stakeholder Management
- Strategic Initiatives
- Data-driven Decision Making
- Investment Management