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Added 6 days ago
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Senior Solutions Engineer
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Solides compétences en programmation (Python, Java, C#, etc.).
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Added 6 days ago
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Sr. Business Systems Analyst Specialist, TD Securities
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Forward - Data Visualization & Analytics Specialist
ShyftLabs
Toronto, ON
- Full-time
ShyftLabs is a fast-growing data and technology company partnering with Fortune 500 organizations to deliver innovative, data-driven solutions. We help enterprise clients solve complex…
Added 6 days ago
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Added 6 days ago
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Added 6 days ago
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Software Development Engineer II (SDE2), Trust Experience
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Added 6 days ago
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Added 6 days ago
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Applied AI Engineer
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AML Analytics Manager
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Product Support Technician (Maple Ridge BC)
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Programmer
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Added 6 days ago
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Vice President, ETF Algo Engineer
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Added 7 days ago
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Added 7 days ago
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Senior Data Developer
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Added 7 days ago
Senior Manager Development, Treasury Technology
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Application Development, Platform Engineering & Integration

ShyftLabs

Forward - Data Visualization & Analytics Specialist

Toronto, ON, Canada

$105,000 - $115.000 (CAD) · Full-time

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Job details

Pay: $105,000 - $115.000 (CAD)
Job type: Full-time
Posting language: English
Posted: Oct 29, 2026

Original job description

The Opportunity

ShyftLabs is a fast-growing data and technology company partnering with Fortune 500 organizations to deliver innovative, data-driven solutions. We help enterprise clients solve complex business challenges through modern data platforms, cloud technologies, advanced analytics, artificial intelligence, and scalable software engineering.

We are seeking a Data Visualization & Analytics Specialist to support the development and delivery of data-driven insights through interactive dashboards, automated reporting, and analytical solutions. In this client-facing role, you will work closely with business stakeholders and cross-functional teams to transform complex datasets into clear, actionable insights that support campaign performance measurement and strategic decision-making.

The ideal candidate combines strong analytical capabilities with hands-on experience in Tableau, Looker, Python, and Google BigQuery. You will take ownership of dashboard development, standardized campaign reporting, and reporting automation to improve data accessibility, consistency, and operational efficiency.

\nWhat You'll Be Doing

Dashboard Development & Visualization: Design, develop, and maintain internal- and external-facing dashboards using Tableau, Looker, and other analytical tools to provide clear visibility into campaign performance and business outcomes.
Campaign Performance Reporting: Build and maintain standardized reporting solutions for End-of-Campaign (EOC), End-of-Quarter (EOQ), and End-of-Year (EOY) reporting, ensuring consistent and reliable performance measurement.
Reporting Automation: Automate recurring dashboards, reporting workflows, and data preparation processes to improve efficiency, reduce manual effort, and ensure timely delivery of business insights.
Data Analysis & Insights: Analyze large and complex datasets using exploratory data analysis and statistical techniques to identify trends, patterns, correlations, and actionable opportunities across business domains.
Data Sourcing & Modeling: Leverage Google BigQuery and other relevant data sources to extract, query, transform, and organize data for analytical use cases and scalable reporting solutions.
Data Quality & Governance: Perform data profiling, cleansing, reconciliation, and validation to maintain data accuracy, consistency, completeness, and reliability across dashboards and reports.
Stakeholder Collaboration: Partner with business stakeholders and cross-functional teams to understand reporting requirements, define key performance indicators (KPIs), and translate business needs into effective analytical solutions.
Business Communication: Present analytical findings and campaign performance insights clearly to diverse audiences, tailoring reporting and recommendations to stakeholder needs.
End-to-End Ownership: Manage assigned deliverables from requirements gathering through development, validation, deployment, and ongoing maintenance, proactively identifying risks, dependencies, and roadblocks.
Documentation & Knowledge Transfer: Maintain clear documentation of dashboards, data models, reporting workflows, data dependencies, and troubleshooting procedures to support knowledge sharing and long-term maintainability.
Continuous Improvement: Identify opportunities to enhance reporting capabilities, streamline analytical processes, and improve the accessibility and usability of business intelligence solutions.

What You'll Bring

Hands-on experience developing dashboards, reports, and data visualizations using Tableau and/or Looker.
Strong proficiency in Google BigQuery, including SQL-based data extraction, querying, analysis, and data management.
Experience using Python and analytical or visualization libraries to support data analysis, data manipulation, and reporting automation.
Strong analytical and problem-solving skills, with the ability to work with large datasets and apply statistical techniques to business challenges.
Experience with exploratory data analysis (EDA), identifying trends and correlations, and translating findings into actionable recommendations.
Knowledge of data profiling, cleansing, validation, reconciliation, and data quality or governance practices.
Experience gathering business requirements and translating them into scalable dashboards, data models, and reporting solutions.
Strong communication and stakeholder-management skills, with the ability to explain complex data and analytical findings to both technical and non-technical audiences.
A proactive, detail-oriented approach with a strong sense of ownership and the ability to manage multiple deliverables in a fast-paced environment.
The ability to work independently and collaboratively within a lean team, managing priorities and resolving issues with minimal supervision.
A commitment to documentation, knowledge sharing, and continuous improvement of analytical processes and reporting solutions.

Salary Range

$105,000 - $115.000 (CAD)

Why You’ll Love Working at ShyftLabs

Hybrid Flexibility: 3 days per week in our downtown Toronto office.

Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.

Growth & Learning: Continuous learning opportunities and influence over technical direction.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.

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More about this job

Responsibilities

The specialist will design and maintain interactive dashboards and automated reporting solutions to provide actionable insights into campaign performance. They will also collaborate with stakeholders to define KPIs and ensure data accuracy through rigorous profiling and validation processes.

Requirements

The ideal candidate possesses hands-on experience with Tableau, Looker, Python, and Google BigQuery for data extraction and analysis. Strong analytical skills and the ability to translate complex business requirements into scalable reporting solutions are essential.

Skills

Tableau
Looker
Python
Google BigQuery
SQL
Data visualization
Dashboard development
Reporting automation
Exploratory data analysis
Statistical techniques
Data modeling
Data quality
Data governance
Stakeholder management
Business intelligence
Performance measurement

Benefits

Health insurance
Dental insurance
Vision insurance

Visa sponsorship

Not detected in the job text

Keywords

Data Visualization
Analytics
Tableau
Looker
Python
Google BigQuery
SQL
Dashboard Development
Reporting Automation
Campaign Performance
Exploratory Data Analysis
Data Modeling
Data Quality
Data Governance
Business Intelligence
KPIs
Cloud Technologies
Data-driven Solutions
Stakeholder Management
Statistical Techniques

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