56 Data Strategy jobs in Canada

Working with one of the top financial clients, this role calls for a Manager, Data Strategy and Analytics (Call Center) who will lead a high-impact team to advance our client’s enterprise data strategy. Partnering with business units, you will deliver dashboards, harmonized KPIs, and analytics that drive business value, while shaping the roadmap for data architecture and strategy.

Responsibilities:

• Develop and implement data strategy and business architecture roadmaps.
• Deliver executive-ready analyses, scenario simulations, and data products.
• Ensure documentation and governance of all data products.
• Apply agile, design-thinking, and system-thinking principles to deliver incremental solutions.
• Mentor team members and stay current on emerging trends in analytics and data strategy.

Desired Skill Set:

• 1–2 years of management experience; proven ability to lead high-performing teams.
• 5+ years in analytics with measurable business impact.
• Expertise in Power BI, Azure, and enterprise-scale data strategy projects.
• Experience with machine learning, statistical analysis, and data modeling.
• Strong communication, influencing, and prioritization skills.

BeachHead is an equal opportunity agency and employer. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.

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Working with one of the top financial clients, this role calls for a Director, Data Strategy & Analytics (Field Service Operations) who will lead the design, development, and execution of KPIs, business intelligence, analytics, and insights to support Sales, Customer, and Field operations. The successful candidate will be partnering with business units and IT. This role will shape the enterprise data strategy, drive adoption of self-serve analytics, and leverage AI/ML to deliver actionable insights.

Responsibilities:

• Lead and mentor a high-performing analytics team.
• Develop and deploy BI tools, dashboards, and AI/ML insights.
• Partner with business leaders to gather requirements and solve data-driven challenges.
• Collaborate with IT on data platform strategy and governance.
• Establish performance measurement standards for analytics adoption.

Desired Skill Set:

• 10+ years in analytics/reporting, including B2C experience.
• 5+ years in management with proven leadership success.
• Expertise in cloud data platforms (Azure/Fabric preferred) and SQL databases.
• Proficiency in Python, R, ML algorithms, and Data Governance tools.
• Bachelor’s in a quantitative field; Master’s preferred.

BeachHead is an equal opportunity agency and employer. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.

Privacy Policy

Working with one of the top financial clients, this role calls for a Director, Data Strategy & Analytics (Field Service Operations) who will lead the design, development, and execution of KPIs, business intelligence, analytics, and insights to support Sales, Customer, and Field operations. The successful candidate will be partnering with business units and IT. This role will shape the enterprise data strategy, drive adoption of self-serve analytics, and leverage AI/ML to deliver actionable insights.

Responsibilities:

• Lead and mentor a high-performing analytics team.
• Develop and deploy BI tools, dashboards, and AI/ML insights.
• Partner with business leaders to gather requirements and solve data-driven challenges.
• Collaborate with IT on data platform strategy and governance.
• Establish performance measurement standards for analytics adoption.

Desired Skill Set:

• 10+ years in analytics/reporting, including B2C experience.
• 5+ years in management with proven leadership success.
• Expertise in cloud data platforms (Azure/Fabric preferred) and SQL databases.
• Proficiency in Python, R, ML algorithms, and Data Governance tools.
• Bachelor’s in a quantitative field; Master’s preferred.

BeachHead is an equal opportunity agency and employer. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.

Privacy Policy

Working with one of the top financial clients, this role calls for a Director, Data Strategy & Analytics (Field Service Operations) who will lead the design, development, and execution of KPIs, business intelligence, analytics, and insights to support Sales, Customer, and Field operations. The successful candidate will be partnering with business units and IT. This role will shape the enterprise data strategy, drive adoption of self-serve analytics, and leverage AI/ML to deliver actionable insights.

Responsibilities:

• Lead and mentor a high-performing analytics team.
• Develop and deploy BI tools, dashboards, and AI/ML insights.
• Partner with business leaders to gather requirements and solve data-driven challenges.
• Collaborate with IT on data platform strategy and governance.
• Establish performance measurement standards for analytics adoption.

Desired Skill Set:

• 10+ years in analytics/reporting, including B2C experience.
• 5+ years in management with proven leadership success.
• Expertise in cloud data platforms (Azure/Fabric preferred) and SQL databases.
• Proficiency in Python, R, ML algorithms, and Data Governance tools.
• Bachelor’s in a quantitative field; Master’s preferred.

BeachHead is an equal opportunity agency and employer. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.

Privacy Policy

Working with one of the top financial clients, this role calls for a Manager, Data Strategy and Analytics (Call Center) who will lead a high-impact team to advance our client’s enterprise data strategy. Partnering with business units, you will deliver dashboards, harmonized KPIs, and analytics that drive business value, while shaping the roadmap for data architecture and strategy.

Responsibilities:

• Develop and implement data strategy and business architecture roadmaps.
• Deliver executive-ready analyses, scenario simulations, and data products.
• Ensure documentation and governance of all data products.
• Apply agile, design-thinking, and system-thinking principles to deliver incremental solutions.
• Mentor team members and stay current on emerging trends in analytics and data strategy.

Desired Skill Set:

• 1–2 years of management experience; proven ability to lead high-performing teams.
• 5+ years in analytics with measurable business impact.
• Expertise in Power BI, Azure, and enterprise-scale data strategy projects.
• Experience with machine learning, statistical analysis, and data modeling.
• Strong communication, influencing, and prioritization skills.

BeachHead is an equal opportunity agency and employer. We advocate for you and welcome anyone regardless of race, color, religion, national origin, sex, physical or mental disability, or age.

Privacy Policy

Job Description

Salary:

Analyste BI & stratgie de donnes

Vous souhaitez faire partie dune entreprise o chaque effort que vous dployez vous donnera le sentiment de contribuer rendre le monde meilleur. FoodHero est une application qui connecte les marchands de produits alimentaires aux consommateurs pour vendre rapidement des excdents de produits frais qui seraient autrement gaspills.

Environ 40 % de toute la nourriture produite dans le monde est gaspille chaque anne. Et lorsque de la nourriture est gaspille, tout ce qui a t utilis pour la mettre dans nos assiettes est galement gaspill : eau, nergie, engrais, pesticides (mme les biologiques), terres cultivables, et bien plus encore.

Les personnes sont au cur de toute mission russie. C'est pourquoi nous offrons un environnement de travail stimulant et dynamique bas sur la confiance, le respect, le plaisir, la communaut, la passion, la responsabilit et l'humilit. Nous sommes ddis offrir des opportunits de dveloppement personnel et professionnel, et encourager les membres de lquipe se dpasser continuellement.

propos du poste

Nous sommes la recherche dune Analyste BI et stratgie de donnes pour jouer un rle central dans la collecte, lanalyse et la valorisation des donnes oprationnelles et commerciales, afin de soutenir les initiatives stratgiques de lorganisation et doptimiser lexprience de nos partenaires et clients.

Dans le cadre de ce mandat, vous serez galement amene soutenir la coordination de certaines activits oprationnelles
et la gestion des relations partenaires.

Responsabilits

• Participer la structuration des processus de collecte et danalyse de donnes pour soutenir les prises de dcisions.
• Proposer et implanter des amliorations oprationnelles bases sur les donnes de performance.
• Assurer une communication claire et structure des donnes partenaires aux parties prenantes.
• Suivre et analyser lvolution des indicateurs de performance cls (KPI) afin didentifier les tendances, carts et opportunits damlioration.
• Concevoir et maintenir des tableaux de bord et visualisations de donnes permettant une lecture rapide et stratgique des rsultats.
• Collaborer avec lensemble des quipes pour identifier et maintenir les indicateurs de performance critiques (KPIs) ct partenaires et oprations.
• Participer la dfinition et lamlioration des outils de visualisation de donnes (dashboards, rapports).
• Contribuer lanalyse stratgique des donnes partenaires pour guider les initiatives de croissance, d'efficacit et de rtention.
• Vous pourriez galement tre appels aider la supervision des oprations quotidiennes pour la prestation des services technologiques aux partenaires, et le maintien de relations durables avec des partenaires cls.

Comptences et qualifications

• Exprience marque en BI, analyse de donnes ou stratgie axe sur les donnes.
• ATOUT - exprience dans le secteur de l'picerie, de l'agroalimentaire ou du commerce de dtail alimentaire.
• ATOUT -Trs bonne comprhension des ralits et dfis oprationnels dans ce secteur (ex. logistique, gestion d'inventaire, saisonnalit, marge faible, etc.).
• Capacit grer plusieurs projets en parallle dans un environnement volutif.
• Aisance avec les outils danalyse (Excel, Google Sheets, MongoDB for NoSQL, Power BI ou autres) et les outils numriques de gestion.
• Excellentes habilets relationnelles, organisationnelles et de communication.
• Bilinguisme (franais et anglais)
  
  

Analyst, BI & Data Strategy

How about joining a company that will have you feeling like every effort you make is a step towards making the world a better place? FoodHero is an app that connects food merchants to consumers to quickly sell surplus fresh food that would otherwise end up in the trash.

Approximately 40% of all the food produced around the world is wasted each year. And when food is wasted, everything used to get that food onto our plates is wasted too - water, energy, fertilizers, pesticides (even organic ones), cropland and so much more.

People are at the heart of any successful mission. As such, we offer an engaging and dynamic working environment based on trust, respect, fun, community, passion, accountability and humility. We are dedicated to providing opportunities for personal and professional development, and challenging their team members to continually take themselves to the next level.

About the Position

We are looking for an Analyst, BI & Data Strategy to play a central role in collecting, analyzing, and leveraging operational and commercial data to support the organization's strategic initiatives and optimize the experience of our partners and customers.

As part of this role, you will also be called upon to support the coordination of certain operational activities and the management of partner relationships.

Responsibilities

• Contribute to structuring data collection and analysis processes to support decision-making.
• Propose and implement operational improvements based on performance data.
• Ensure clear and structured communication of partner data to stakeholders.
• Monitor and analyze the evolution of key performance indicators (KPIs) to identify trends, gaps, and areas for improvement.
• Design and maintain dashboards and data visualizations that allow for a quick and strategic reading of results.
• Collaborate with all teams to identify and maintain critical performance indicators (KPIs) on the partner and operations side.
• Participate in defining and improving data visualization tools (dashboards, reports).
• Contribute to the strategic analysis of partner data to guide initiatives related to growth, efficiency, and retention.
• You may also be called upon to help supervise daily operations for the delivery of technological services to partners and the maintenance of lasting relationships with key partners.

Skills and Qualifications

• Significant experience in BI, data analysis, or data-driven strategy.
• ASSET Experience in the grocery, agri-food, or food retail sectors.
• ASSET Strong understanding of the operational realities and challenges in this sector (e.g., logistics, inventory management, seasonality, low margins, etc.).
  Ability to manage several projects simultaneously in a dynamic environment.
• Ease with analysis tools (Excel, Google Sheets, MongoDB for NoSQL, Power BI, or others) and digital management tools.
• Excellent interpersonal, organizational and communications skills.
• Bilingualism (French and English).

Job Description

Company Overview 

At Ouster, we are pioneering the future of Physical AI by redefining the capabilities of deep learning. Through our groundbreaking digital lidar solutions, including the Ouster Gemini perception platform and BlueCity smart city applications, we deliver the critical intelligence needed to build a safer and more efficient world.

We are seeking a highly organized and detail-oriented Data Management Engineer to own, develop and operate our entire data pipeline, from collection to validation. In this critical role, you will be the bridge between our engineering teams, stakeholders, and external labeling partners. You will manage the full lifecycle of our datasets, ensuring the quality and integrity required to train and validate our advanced perception systems. The ideal candidate is a proactive problem-solver with a strong technical background in coding, data handling and a knack for process improvement.

Data Acquisition & Management

• Stakeholder Coordination: Liaise with internal teams to define data collection requirements and priorities, maintaining clear documentation on collection needs.
• Data Collection: Perform on-site data recording using our systems and directly obtain datasets from key stakeholders or customers.
• Data Storage & Archiving: Manage and organize large datasets across various storage solutions, including Google Cloud (GCloud) and local Network Attached Storage (NAS), ensuring data is secure, accessible, and up-to-date.

Data Processing & Validation

• Lidar Pre-processing: Conduct initial alignment and pre-validation of raw Lidar point cloud data to ensure its quality and usability.
• Data Validation & Quality Assurance: Design, Develop and Perform rigorous validation processes on labeled data received from vendors to confirm it meets our standards before being integrated into training or validation sets.
• Dataset Management: Handle the strategic splitting of datasets for training and validation purposes. Identify and document errors or inconsistencies in current datasets and coordinate with labeling teams for corrections.
• Validation & Regression Framework: Add new datasets into our validation framework, which includes creating precise Areas of Interest (AOIs) and generating new baseline performance metrics.

Labeling & Process Improvement

• Labeling Coordination: Manage the end-to-end labeling process by sending data to our labeling partners, tracking their progress, and serving as the primary technical point of contact.
• Documentation: Own and update all labeling documentation, including defining new classes and clarifying labeling instructions to ensure data consistency.
• Metrics & Reporting: Continuously improve the metrics and reports used for our validation, performance and regression testing, adding new parameters as needed to enhance our evaluation framework.
• Automation & Efficiency: Run, maintain, and improve our pre-labeling pipeline to increase the efficiency of our data operations.
• Tool & Industry Research: Conduct industry research to identify and evaluate new tools and technologies that can make our labeling and data management processes more efficient.

Required:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Proven experience in managing large-scale datasets and complex validation pipelines  for machine learning and computer vision applications.
• Proficiency in scripting languages such as Python for automation and data manipulation.
• Familiarity with data labeling processes and managing multiple labeling vendors.
• Strong organizational skills with the ability to manage multiple projects and priorities simultaneously.
• Excellent communication skills, with experience coordinating between technical teams and external vendors.
• Meticulous attention to detail, especially in data validation and quality control.
• Ability to identify a gap in processes and define a proper process to bridge over the gap.

Nice to have:

• Strong knowledge of C++ / RUST.
• DevOps or MLOps experience.
• Hands-on experience with Lidar data and point cloud processing.

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