Market Data Business Analyst
Hybrid Full-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Confluence Technologies. Full-time.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SeniorityMid-level
WorkplaceHybrid
EmploymentFull-time
PostedApr 30, 2026 · 5mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Turn business and product needs into data specifications that engineering teams can build from
- Run ingestion and transformation work for vendor feeds and internal datasets, then help developers deliver pipelines
- Check datasets for quality issues, investigate unusual results and resolve data problems
- Take small and mid-sized data projects from start to finish while balancing requests and priorities
- Find ways to automate data delivery and streamline processes using Python or similar tools
What you bring
- Strong SQL skills are essential for this role
- You have worked with market, analytics or financial data for one to three years
- You can independently deliver data solutions and translate business needs into technical specifications
- You can manage concurrent requests and explain data needs to technical and non-technical colleagues
Who this fits
This role suits a hands-on analyst comfortable working across data, product and engineering, with substantial ownership and shifting priorities. You’ll work in a hybrid role in Montreal. Candidates need to be able to work without visa sponsorship or a work permit.
From the employer
Montreal, Canada -Hybrid Why Confluence?
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.
This is a high-impact role within a lean team, sitting at the intersection of product, data, and engineering. Rather than a typical Business Analyst position, this role is hands-on — you’ll work directly with data, shape how it flows through systems, and help deliver real, usable data solutions across the business. You’ll partner closely with product and engineering teams to turn complex data needs into clear technical requirements, supporting the build of data feeds, pipelines, and transformations.
At the same time, you’ll manage multiple priorities, improve processes, and introduce automation to make data delivery more efficient. This is a broad, fast-paced role with real ownership — giving you the opportunity to drive solutions end-to-end and influence how data is structured and delivered.
Please note: We are unable to sponsor visas or consider candidates requiring work permits at this time.
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. And it stands to reason that none of this would have been possible without the hundreds of hard-working employees who work at Confluence.
This is a high-impact role within a lean team, sitting at the intersection of product, data, and engineering. Rather than a typical Business Analyst position, this role is hands-on — you’ll work directly with data, shape how it flows through systems, and help deliver real, usable data solutions across the business. You’ll partner closely with product and engineering teams to turn complex data needs into clear technical requirements, supporting the build of data feeds, pipelines, and transformations.
At the same time, you’ll manage multiple priorities, improve processes, and introduce automation to make data delivery more efficient. This is a broad, fast-paced role with real ownership — giving you the opportunity to drive solutions end-to-end and influence how data is structured and delivered.
What You’ll Do
- Translate business and product requirements into clear technical data specifications for engineering teams
- Manage data ingestion and transformation workflows, including external vendor data feeds and internal datasets
- Collaborate with developers to deliver data pipelines, feeds, and transformations
- Monitor and improve data quality, identifying anomalies and resolving issues across datasets
- Own small to mid-sized data projects end-to-end, balancing multiple requests and priorities
- Identify opportunities to automate and optimize processes using Python or similar tools
- Partner with stakeholders across product, engineering, and BI teams to ensure data solutions meet business needs
Please note: We are unable to sponsor visas or consider candidates requiring work permits at this time.
What You Bring
Essential Requirements
- Strong SQL expertise (non-negotiable)
- Ability to work effectively with data pipelines, schemas, feeds, APIs, and data warehouses
- Proven ability to work independently with data and deliver solutions end-to-end
- Experience translating business requirements into clear technical specifications
- Strong communication skills with both technical and non-technical stakeholders
- Ability to operate with high autonomy and manage multiple requests or projects simultaneously
- 1–3 years’ experience in a market data, data analytics, or financial data environment
Nice to Have
- Python for automation or process improvement
- Experience with modern data platforms (e.g., Snowflake)
- Familiarity with data ingestion, transformation, and vendor data workflows
- Experience with BI tools such as Power BI or Tableau
- Exposure to AI tools or an interest in automation
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