Analisar dados referentes ao processo e a suas perdas e inconsistências sugerindo alternativas e planos de ação de operações classificadas como de grande porte. Liderar auditorias e estudos em processos de segurança e operacionais, estabelecendo interface com áreas diversas, tracionando ações e implementação de melhorias e revisões de processos e procedimentos.
Responsibilities
Analisar dados referentes ao processo e a suas perdas e inconsistências sugerindo alternativas e planos de ação de operações classificadas como de grande porte
Liderar auditorias e estudos em processos de segurança e operacionais, estabelecendo interface com áreas diversas, tracionando ações e implementação de melhorias e revisões de processos e procedimentos
Atualizar os indicadores de gestão para apoio na tomada de decisões e as apresentações, além do mapeamento de oportunidades em melhoria durante a coleta e a análise, liderando o projeto com foco na garantia da acuracidade dos dados
Compilar os dados de geração de perdas e danos para auxiliar a tomada de decisões diariamente, demonstrando as tendências através de metodologias de melhoria contínua de processos
Interagir com os departamentos de operação, excelência operacional, inventário e demais áreas para realizar as atividades ligadas à melhoria dos indicadores e correção de vulnerabilidades
As a Solution Analyst on the Data Warehousing team, you will play a key role in the analysis, design, and delivery of complex enterprise data warehousing and business intelligence solutions.
Lead complex requirements analysis and solution design for enterprise data warehousing, integration, and business intelligence initiatives, developing functional and technical specifications, user stories, acceptance criteria, and source-to-target mappings.
Partner with business stakeholders, data engineers, and architects to evaluate solution alternatives and recommend scalable approaches aligned with enterprise architecture and data governance standards.
Independently facilitate cross-functional discovery and design discussions, resolve conflicting requirements, assess technical feasibility, and build stakeholder alignment.
Drive analysis and coordination of complex initiatives from intake through delivery, leveraging AI-enabled tools to enhance efficiency, identify risks and dependencies, and recommend adjustments to support roadmap execution.
Use advanced SQL and analytical techniques to investigate complex data issues, evaluate source systems, validate transformations, and recommend data quality and integration improvements.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Business, Engineering, or a related field, or equivalent practical experience
Own NA Marketing performance tracking, executive scorecards, and recurring business performance readouts, connecting results across the end-to-end customer journey.
Compensation
The anticipated annual compensation range for this position is 92,000–140,990 CAD. Final compensation will be based on relevant experience, skills, and business considerations. Individuals may also be considered for bonuses and/or commissions.
Responsibilities
Own NA Marketing performance tracking, executive scorecards, and recurring business performance readouts, connecting results across the end-to-end customer journey.
Define the analytical and reporting requirements needed to answer key business questions, partnering with the NA Reporting team to ensure the right data, views, and outputs are available.
Analyze marketing performance across brand, campaigns, digital, events, demand generation, lead progression, pipeline, revenue, and ROI to identify trends, drivers, gaps, and opportunities.
Track and connect key funnel metrics—including awareness, consideration, engagement, MQLs, SQLs, conversion, velocity, pipeline contribution, and revenue impact—to provide a more complete view of marketing effectiveness.
Translate complex data into clear executive narratives, insights, implications, and recommendations that support BMS reviews, strategic planning, optimization, and leadership decision-making.
The Network Account Manager (NAM) is the strategic owner of an assigned portfolio of stakeholders, networks and customers. For this specific opening, the role carries a dual responsibility: NAM and NAM Coordinator of the CFC team in Algeria.
Responsibilities
Own the account strategy and annual plan for the allocated portfolio, institutions and geography
Segment and prioritize accounts and HCPs by potential and expected impact
Establish, maintain and leverage high-quality relationships with current and emerging customers, KOLs and decision-makers
Maintain a clear map of formal and informal decision-makers and decision-making processes for each account, updated quarterly
Collect and analyze account, consumption, pricing and competitive data to generate insights and the next best action
Requirements
Bachelor's degree in science, business or equivalent
Pharmacist, Physician, Dentist, Veterinary or Biologist diploma
Lead enterprise supply planning strategy and execution to ensure product availability, inventory optimization, and operational performance across the supply chain.
Compensation
The anticipated salary range for this position is $81,000 - $88,000 annually with 10% AIP eligibility.
Responsibilities
Develop and maintain integrated supply plans aligned with demand and business priorities
Establish supply planning strategies balancing service, inventory, capacity, and cost
Own inventory targets, optimization strategies, and working capital performance
Lead rough‑cut capacity planning and mitigation strategies
Drive decisions on inventory positioning, safety stock, and supply balancing
Lead the design and implementation of business intelligence capabilities to improve risk information delivery and consumption.
Responsibilities
Partner with stakeholders to understand business needs and translate them into clear data requirements and scalable business intelligence solutions.
Leverage data visualization and data transformation tools to build impactful dashboards and self-serve analytics for leadership and risk stakeholders.
Partner with technology, product, risk, and controls stakeholders to ensure artificial intelligence-enabled reporting and automation using appropriate human review, data lineage, access controls, and transparent assumptions.
Design, develop, and maintain interactive dashboards using tools such as Google Looker, Tableau, Power BI, and Sigma, presenting complex data visually to aid communication.
Adhere to governance processes for analytical solutions and stay updated on industry trends and best practices in data and visualization.
Accountable for building and leading High Liner Foods' enterprise Data and AI practice, developing and delivering the Data and AI strategy, roadmap, governance, portfolio, and enablement.
Locations (2)
Halifax, Nova Scotia, Canada
Toronto, Ontario, Canada
Compensation
The typical hiring range for this position in Ontario is from $110,000 - $151,000
Responsibilities
Develop and deliver the Data and AI roadmap and investment portfolio
Advise business leaders on Data and AI opportunities
Own enterprise Data and AI governance
Shape the Data and AI technology vision across data platforms, reporting, generative AI, knowledge retrieval, and automation
Lead Data and AI literacy, adoption, and change readiness
Leads and communicates complex marketing insights using a range of data, research, modeling, experimentation, AI, and measurement capabilities to improve product marketing decisions and business outcomes.
Responsibilities
Advise demand-generation and line-of-business product marketing teams on the use of insights derived from client, prospect, media, channel, research, modeling, and AI capabilities to improve marketing decisions and outcomes.
Govern a prioritized learning agenda across competing campaign, product, audience, channel, and line-of-business demands, balancing immediate decisions with reusable enterprise value.
Serve as a trusted internal consultant and translator between business owners, strategists, and technical delivery teams; clarify business questions, define requirements, and connect local needs to centralized standards and capabilities.
Identify gaps in consent, tagging, identity, exposure, history, collection, verification, and attribution; prioritize data and measurement investments that strengthen activation, monitoring, and accountability.
Select among modeling, AI, primary research, experimentation, reporting, and ad hoc analytics based on financial exposure, customer risk, strategic importance, speed, scalability, and cost.
Requirements
Bachelor’s degree in marketing, business, analytics, economics, or a related field
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