--- title: 'Forward - Data Visualization & Analytics Specialist at ShyftLabs' canonical: 'https://feeny.ai/job/forward-data-visualization-analytics-specialist-shyftlabs-toronto-japf0qjtsat1' type: 'job' last_seen: '2026-11-03' --- # Forward - Data Visualization & Analytics Specialist at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-29 - **Last confirmed live:** 2026-11-03 - **Apply:** https://jobs.lever.co/shyftlabs/2957007a-cfbd-44ac-9720-e46708583af9 ## 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. ## What 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. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. [Lever Jobs](https://jobs.lever.co/shyftlabs) ## Other roles at ShyftLabs - [Forward - Senior Data Analyst, Advanced Analytics & Data Science](https://feeny.ai/job/forward-senior-data-analyst-advanced-analytics-data-science-shyftlabs-toronto-vvd9h35zcf3y) — Toronto, Canada - [Business Development Intern](https://feeny.ai/job/business-development-intern-shyftlabs-toronto-82hgngvp67fd) — Toronto, Canada - [Graphic Design Intern](https://feeny.ai/job/graphic-design-intern-shyftlabs-toronto-wvat1rjcg1by) — Toronto, Canada - [Office Receptionist](https://feeny.ai/job/office-receptionist-shyftlabs-toronto-f0rqnj3ma7cv) — Toronto, Canada - [Forward - Security Engineer, Network & Infrastructure Security](https://feeny.ai/job/forward-security-engineer-network-infrastructure-security-shyftlabs-toronto-jpa0xvv4say2) — Toronto, Canada - [Forward Deployed - Data Architect](https://feeny.ai/job/forward-deployed-data-architect-shyftlabs-toronto-edddvdrv2v8v) — Toronto, Canada - [Forward Deployed - AI Solutions Architect (GenAI & Agentic AI)](https://feeny.ai/job/forward-deployed-ai-solutions-architect-genai-agentic-ai-shyftlabs-toronto-t7hwqkm5ed0g) — Toronto, Canada - [Forward Deployed - Data & AI Product Manager](https://feeny.ai/job/forward-deployed-data-ai-product-manager-shyftlabs-toronto-zy1ng9swef8p) — Toronto, Canada - [Senior Unix/Linux Automation Engineer](https://feeny.ai/job/senior-unix-linux-automation-engineer-shyftlabs-noida-x00e7frd37nw) — Noida, India - [Senior Data Engineer -Databricks](https://feeny.ai/job/senior-data-engineer-databricks-shyftlabs-coimbatore-h8pn6yacyvgw) — Coimbatore, India