Market Data Business Analyst
Reads like a Data Engineer role: pipelines and data infrastructure.
Montreal, Canada
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting
What you’ll work on
Full postingTranslate 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
From the employer’s posting
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
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
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
What you’ll bring
All qualificationsCore experience
- Strong SQL expertise (non-negotiable)
- Python for automation or process improvement
- Ability to work effectively with data pipelines, schemas, feeds, APIs, and data warehouses
- Experience with modern data platforms (e.g., Snowflake)
- Proven ability to work independently with data and deliver solutions end-to-end
- Familiarity with data ingestion, transformation, and vendor data workflows
Qualification wording
Strong SQL expertise (non-negotiable)
Python for automation or process improvement
Ability to work effectively with data pipelines, schemas, feeds, APIs, and data warehouses
Experience with modern data platforms (e.g., Snowflake)
Proven ability to work independently with data and deliver solutions end-to-end
Familiarity with data ingestion, transformation, and vendor data workflows
Tools in this posting
- Python
- SQL
- Power BI
- Snowflake
- Tableau
Source — Tool mentions in context
- 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
Nice to Have - Python for automation or process improvement - Experience with modern data platforms (e.g., Snowflake)
Essential Requirements - Strong SQL expertise (non-negotiable) - Ability to work effectively with data pipelines, schemas, feeds, APIs, and data warehouses
- 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
- Python for automation or process improvement - Experience with modern data platforms (e.g., Snowflake) - Familiarity with data ingestion, transformation, and vendor data workflows
Posting record
Report an errorOpen 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 150 days ago
- Recorded sightings
- 84
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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.
More about the role & team
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 skills and experience do I need to succeed?
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
What do we offer?
Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:
🕚 Generous Time Off packages including additional half days with each public holiday in your location.
🌎 Global Career Development opportunities
🎊 Social Events
💵 Referral Bonus scheme - Upto $3,000 per successful referral
🚀 Plus many more!
More about the Location
We offer flexible working options for all employees.
#LI-Hybrid
Values
We look for people who align with our 4 values.
Integrity
Face reality with honesty, courage and accountability
Imagination
Deal creatively with challenges and envision what the world could be
Discipline
Build good habits into reflexes which become a part of our life
Service
Committed to the success of others
If you would like to find out more about a Career at Confluence, please apply today.
Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.
Pre-Employment Screening Disclaimer
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening.
Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.
Employment type
Permanent - Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Montreal, Canada
Montreal, Canada -Hybrid Why Confluence?
More source context
We offer flexible working options for all employees. #LI-Hybrid Values
- Work authorization
If you would like to find out more about a Career at Confluence, please apply today. Pre-Employment Screening Disclaimer As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening. Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.
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