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Data collection • toronto on

Last updated: 1 day ago

Data Designer

Lorven technologiesToronto, ON, Canada
Full-timeFull-time
Quick Apply

Job Title: Data Designer<br /> Location: Toronto, ON Onsite & In-Person Interview</b></div> <div style="text-align: justify;"><b>Full-Time<br /&gt... Show more

Donor Centre Associate - Blood Collection

Canadian Blood ServicesToronto, ON, CA, M6H 4A9
CA$29.54–CA$31.97 hourlyCA$29.54–CA$31.97 hourly
Part-timePart-time

Position's anticipated start date:.Number of positions available:.OPSEU Multi-Product Environment.This external job posting may close earlier than the advertised deadline.We recommend applying as s... Show more

Data Analyst - SQL, Data Modeling

Astra North Infoteck Inc.Toronto, ON, ca
Full-timeFull-time

Business Data Analyst – NoSQL | Microsoft SQL Server | Data Analysis.Data Analyst w NOSQL~Microsoft SQL Server 2019.Client is looking for someone who has 8+ years of experience in Data analysis and... Show more

Data Architect

Rules CubeToronto, ON, CA
Full-timeFull-time
Quick Apply

About Rules Cube and MediCore Rules Cube is a Toronto-based digital transformation and Pega consulting firm with offices in Canada, US, Mexico, and Latin America.MediCore is Rules Cube's AI-powered... Show more

Donor Centre Associate - Blood Collection

Canadian Blood ServicesToronto, ON, CA
Part-timePart-time

Position's anticipated start date:.Number of positions available:.OPSEU Multi-Product Environment.This external job posting may close earlier than the advertised deadline.We recommend applying as s... Show more

Data Engineer

HaysToronto
Full-timeFull-time

Our client is a leading Canadian retail organisation undertaking significant investment in its enterprise data and cloud capabilities.They are looking for an experienced GCP Data Engineer to suppor... Show more

Data Modeler

Randstad CanadaToronto, Ontario, CA
TemporaryTemporary
Quick Apply

Our client, is seeking an experienced, highly strategic Data Modeler to guide the design and evolution of their enterprise data architecture.In this high-visibility consulting role, you will work c... Show more

Data Engineer (Data Modeling/Data Governance)

ScotiabankToronto, ON, CA
PermanentPermanent

Design, build, and support scalable data pipelines, data warehouses, data models, and data products.Develop cloud-based data solutions using GCP, BigQuery, Apache Airflow, Informatica, Python, and ... Show more

Data Scientist

eBayToronto
CA$141,600.00 yearlyCA$141,600.00 yearly
Full-timeFull-time

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells.Our platform empowers millions of buyers and sellers in more than 190 markets around the world.... Show more

Data Scientist

Coca-Cola Canada Bottling LimitedToronto, ON, CA
Full-timeFull-time

For more information about Coke Canada Bottling and our products, visit cokecanada.Hybrid - This is a hybrid role, requiring 1-2 days per week in the office based on business needs.In-office expect... Show more

Data Governance - AI and Data, Consultant

DeloitteToronto, ON, ON, CA
PermanentPermanent

At Deloitte, our Purpose is to make an impact that matters.We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future.Our work underpin... Show more

Data Designer/ Data BSA

Staffingine LLCToronto, ON, Canada
Full-timeFull-time
Quick Apply

Job Title: </b><b>Data Designer/ Data BSA<br /> Job Location: </b><b>Toronto, ON<br /> Job Type: Contract</b></p> <p style="margin-bottom:13p... Show more

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Data Designer

Data Designer

Lorven technologiesToronto, ON, Canada
5 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Title: Data Designer
Location: Toronto, ON Onsite & In-Person Interview

Full-Time
Experience: 5 7 Years of BSA Experience

Job Summary:

We are looking for an experienced Data Designer with a strong background in Business Systems Analysis (BSA), Databricks, and the finance domain. The ideal candidate should be capable of understanding business requirements, analyzing complex data flows, translating business needs into functional and data specifications, and collaborating with technical teams to deliver data solutions aligned with business objectives.

Key Responsibilities:

  • Work with business stakeholders to gather, analyze, and document business and data requirements.
  • Translate business requirements into functional specifications, data requirements, and design documentation.
  • Analyze source systems, data structures, data flows, and data transformation requirements.
  • Work with Databricks-based data platforms to understand data processing, datasets, and analytical requirements.
  • Prepare source-to-target data mapping documents and data transformation specifications.
  • Analyze financial data and business processes to identify data gaps, inconsistencies, and improvement opportunities.
  • Collaborate with data engineers, architects, developers, QA teams, and business stakeholders.
  • Define business rules, data definitions, field-level mappings, and data validation criteria.
  • Support data reconciliation, functional testing, UAT, and issue resolution.
  • Maintain clear documentation of requirements, assumptions, dependencies, and design decisions.
  • Ensure delivered data solutions meet business, reporting, and financial data requirements.

Required Skills and Qualifications:

  • 5 7 years of experience as a Business Systems Analyst (BSA), preferably in data-focused projects.
  • Hands-on or working knowledge of Databricks.
  • Strong finance domain experience is mandatory.
  • Experience gathering requirements, conducting stakeholder discussions, and preparing functional documentation.
  • Understanding of data mapping, data flows, data analysis, and data validation.
  • Ability to translate business requirements into clear specifications for technical teams.
  • Strong analytical, communication, documentation, and problem-solving skills.
  • Experience working with cross-functional business and technology teams.

Preferred Skills:

  • Experience in banking, financial services, financial reporting, payments, accounting, or related finance projects.
  • Exposure to data warehousing, data integration, and analytics platforms.
  • Familiarity with SQL and data reconciliation.
  • Experience supporting UAT and validating data-related business requirements.