Senior Data Analyst, Network Optimization
Offre en anglaisThe role involves leveraging data-driven insights to optimize last-mile food delivery logistics and presenting findings to executives. Key duties include developing analysis systems, creating Tableau reports, and mentoring junior team members.
- Hybride
- Toronto, ON
- Publié 12 août 2026
- Postuler avant le 11 sept. 2026
- 1 poste
D’autres postes auxquels postuler directement
Des possibilités semblables publiées par des employeurs qui recrutent sur Jobs.ca, sans formulaire externe.
Bédard Ressources Humaines
Conseiller sénior en ressources humaines
- Sur place
Bédard Ressources Humaines
Rembourreur de meubles #1207
- Hybride
Revenu Québec
TECHNICIENNE OU TECHNICIEN EN VÉRIFICATION FISCALE
- Hybride
Résumé du poste
Ready for a challenge? Born in the Prairies, now part of a worldwide network, Skip is a tech company with an entrepreneurial spirit and the drive to be the best. We're a people-first, collaborative company with a fun, dynamic and innovative environment. Our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, grabbing some groceries or sunscreen, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About This Role Skip continually looks for high performers who are excited to join our entrepreneurial team to revolutionize food ordering and the delivery industry. We are a technology and logistics company that partners with restaurants across North America to provide access to top restaurants. Skip simplifies this process and provides an outstanding experience to users by leveraging innovative technology and an extensive courier network. We're revolutionizing the way humanity eats, and there's a lot of room for optimization and growth. That's where you come in. Your ingenuity will help us continue to drive innovation, making an impact on the reliability, performance, and scalability of Skip's industry-leading technology. We’re looking for a business-minded analyst who can optimize tools, implement systems, and provide support to our growing Logistics department. Logistics is about analyzing the performance and efficiency of our last-mile food delivery. Are you ready for this exciting challenge? Location: Hybrid- 3 days a week from our Winnipeg or Toronto office & 2 days working from home Reporting to: Senior Team Lead, Network Analytics & Optimization These are some of the key components to the position: As our Senior Data Analyst, Network Optimization, you will combine data-driven insights and business knowledge to support our Logistics operation – presenting logical and persuasive stories to executives Working in our Network Optimization team, you will have a leading role in crafting and implementing the analysis systems, methods, tools and techniques that support the team’s work. By staying up to date on the latest developments in business analysis tools, you can also recommend new insight to management. To help us produce the best business analysis, you will also: Integrating insights from available data and new developments Proactively identifying opportunities for improving our logistics model and division Mentoring junior team members, demonstrating their capabilities, and enhancing team output Designing measurable metrics and ensuring key performance indicators align with stakeholder needs Developing reports using Business Intelligence tools like Tableau Building and enhancing SQL queries (Google BigQuery preferred) Leveraging Python to conduct in-depth data analysis and automate analytical workflows What will you bring to the team? 4-6 years’ experience in a similar role, preferably related to business analysis Strong expertise in SQL, Python, and Tableau with proven experience in data storytelling, experimentation, and optimization. Strong problem-solving skills, and demonstrated experience in leveraging data to answer key business questions and influence decisions. Strong communication skills with the ability to explain complex analytic concepts and data insights to non-technical stakeholders. Technical proficiency with GSuite, Atlassian (Jira), Git, and Slack for collaboration and project tracking. Experience working with logistics would be an asset. Why work at SKIP? SKIP is the kind of workplace that garnered a “Top Places to Work in Manitoba” and it was no small coincidence. We set out to make this a place our employees are proud to tell their Mothers, Fathers, friends and anyone who will listen that they work here. SKIP team members feel pride knowing their input and uniqueness are not only embraced but make an impact on a major Canadian company and its satisfied customers. As the company grows, so do you — you meet and surpass new challenges every day. That’s just a small taste of what it’s like to work at one of Canada’s leading tech companies. If you’re hungry for opportunity, growth, and something meaningful in a dynamic, fun and challenging environment, we’d love to hear from you. SKIP is proud to be an Equal Opportunity employer. We are committed to fostering a diverse and inclusive environment where all employees feel they truly belong and where everyone is included, seen, heard and respected. In keeping with our values, all applicants will receive consideration for employment regardless of: gender identity or expression, sexual orientation, race, ancestry, national origin, religion, age, marital/domestic partner status, (dis)ability, neurodivergence, or any other characteristic protected by law. Should you require any accommodations throughout the hiring process, we encourage you to reach out to your talent acquisition specialist. Note: All employees will be asked to sign a Consent for Disclosure of Personal Information in order to complete a background check. Job offers will be conditional upon results that the Company determines to be satisfactory. What We Offer Team Vibes: Thrive in a collaborative culture where your ideas matter. Tasty Perk: Enjoy a monthly Skip spend allowance – treat yourself! More Time Off: Generous PTO with a buy and sell program with up to 5 extra days! Family First: Up to 20 weeks top up for parental leave. Premium Benefits: Flexible medical & dental insurance for you and your family. Keep Learning: Access world-class training resources to power your success. Perks Galore: Exclusive offers from Workperks from hundreds of top brands. Future Funded: RRSP contributions with diverse investment portfolios. We’ve Got You: We’ve got you covered. Access paid sick time to care for yourself or your family when life happens & access to our well-being support programs. Digital Nomads: Family abroad or just want a change of scenery? Enjoy the freedom to work from almost anywhere in the world for 4 weeks a year. Career Growth: Fuel your personal and professional evolution through our dedicated mentorship, global mobility pathways, and a wellness-first culture rooted in true diversity and inclusion. Compensation range: $94,620.00 - $100,000.00 Final compensation may vary based on skills, experience, and internal equity.
Ce que vous ferez
The role involves leveraging data-driven insights to optimize last-mile food delivery logistics and presenting findings to executives. Key duties include developing analysis systems, creating Tableau reports, and mentoring junior team members.
Exigences
Candidates need 4-6 years of experience in business analysis with strong proficiency in SQL, Python, and Tableau. Ability to communicate complex analytical concepts to non-technical stakeholders is essential.
Avantages
• Monthly Skip Spend Allowance • Paid Time Off • Parental Leave Top Up • Medical Insurance • Dental Insurance • Training Resources • Workperks Access • RRSP Contributions • Paid Sick Time • Well-being Support Programs • Digital Nomad Work Option • Mentorship
Compétences indiquées
- SQLSouhaitée
- PythonSouhaitée
- TableauSouhaitée
- Analyse d’affairesSouhaitée
- Résolution de problèmesSouhaitée
- CommunicationSouhaitée
- JiraSouhaitée
- GitSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- SQL
- Python
- Tableau
- Data Storytelling
- Experimentation
- Optimization
- Google BigQuery
- Business Analysis
- Problem Solving
- Communication
- GSuite
- Jira
- Git
- Slack
- Logistics Analysis
- KPI Design
Domaines d’emploi
- Data & Analytics
- Logistics
- Technology
- Software
- Transportation
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 11 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Présence au bureau
- 3 jours par semaine
- Niveau d’expérience
- Not Applicable