Publié il y a 7 mois
Manager/Sr. Manager - Supply Chain Analytics (CPG/Retail)
@ Tiger Analytics Inc.
Toronto, Ontario
En bref
Tiger Analytics is hiring a Manager or Senior Manager of Supply Chain Analytics for its CPG and Retail practice. The role leads offshore teams on supply chain analytics and data migration, bridges business stakeholders and technical teams, and builds predictive, prescriptive and optimization models. Candidates need 8 to 14 years of experience, including at least 5 in analytics and mandatory Retail or CPG experience.
Responsabilités :
- Lead offshore teams on supply chain analytics and data migration
- Bridge business stakeholders and technical teams
- Engage Director and VP-level client stakeholders
- Build and deploy ML, AI and optimization models
- Ensure data quality, validation and governance
Résumé des exigences :
- 8 to 14 years of professional experience, 5+ in analytics
- Mandatory Retail or CPG domain experience
- Strong supply chain background
- Strong hands-on Python and SQL
- Experience influencing executive and VP-level stakeholders
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-03-31
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 8 an(s) et plus |
| Gestion d’équipe | Oui |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Tiger Analytics Inc.
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.
Description complète de l’entreprise
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.
- Abonnés LinkedIn
- 630 421
- Personnes associées sur LinkedIn
- 6 613
- Bureaux déclarés
- 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
- 111 Town Square Pl, Jersey City, New Jersey 07310, US
- 36 Robinson Rd, Singapore, Singapore 068877, SG
- 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
- 5151 Headquarters Dr, Plano, Texas 75024, US
- 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
- 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
- 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
- RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
- Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
- 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
- De Entree 252, Amsterdam, North Holland 1101 EE, NL
- Catégories d’activité
- News
- Consulting
- Analytics
- Advertising
- Big Data
- Machine Learning
- Autres noms enregistrés
- Tiger Analytics
- Tiger Analytics Inc.
- Spécialités
- Machine Learning
- Predictive Analytics
- Forecasting
- Natural Language Processing
- Computer Vision
- Cloud Data Platform Engineering
- Data-as-a-service
- Lean Data Governance
- Modern BI & Data Warehousing
- AI/ML Ops
- ML Product Engineering
- Data Engineering
- Data Modernization
- and Generative AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 5,001-10,000 employees |
| Siège social | Santa Clara, CA |
| Type d’organisation | Privately Held |
| Fondée en | 2011 |
| Spécialités | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Offres sur Jobsy | 81 |
| Voir la page |
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.
The ideal candidate will bring a blend of hands-on analytics expertise, stakeholder management, and team leadership experience, along with the ability to translate business challenges into scalable data solutions.
RESPONSIBILITIES:
- Lead and manage offshore teams delivering supply chain analytics and data migration initiatives
- Act as a bridge between business stakeholders and technical teams to ensure alignment on goals and deliverables
- Engage with senior client stakeholders (Director/VP level) to understand business context and define analytics solution approaches
- Break down complex problems into structured tasks across business analysis, data science, and engineering
- Guide and mentor teams of business analysts and data professionals to deliver high-impact solutions
- Architect and design scalable data analytics frameworks and solutions
- Apply advanced analytics techniques (Machine Learning, AI, Optimization, Operations Research) to solve business problems
- Develop and maintain predictive and prescriptive models in enterprise production environments
- Build and deploy simulation, optimization, and scenario planning tools for decision support
- Work with large datasets to extract, transform, and structure data using SQL and related tools
- Drive cross-functional collaboration to deliver innovative, data-driven solutions
- Ensure data quality, validation, and governance standards are maintained
- Translate complex analytical outputs into clear, actionable insights for business stakeholders
- 8–14 years of professional experience, with at least 5+ years in business/data analytics
- Mandatory experience in Retail or CPG domain
- Strong Supply Chain background with exposure to Demand Planning, Supply Planning, Shipping, and Inventory Management
- Demonstrated ability to effectively engage and influence executive and VP-level stakeholders
- Strong project and team leadership skills, with experience driving end-to-end delivery across global, cross-functional teams
- Strong foundation in statistical methods and machine learning, with the ability to analyze complex datasets and generate actionable insights
- Proven ability to structure ambiguous business problems into clear, data-driven analytical frameworks
- Strong hands-on expertise in Python and SQL
- Experience with data visualization tools such as Power BI
- Proficient in version control (Git), with exposure to big data technologies (PySpark, Hadoop ecosystem – HDFS, Hive) and cloud platforms such as Microsoft Azure is a plus.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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