Publié il y a 9 heures
Business Analyst Expert - 109666
@ Randstad Canada
Toronto, Ontario
En bref
Randstad Canada is hiring a Senior Business Analyst / Analytics Specialist on a contract for a leading Canadian financial institution's AI, Data and Analytics team, supporting Credit Cards and Everyday Banking. The role bridges data science squads and business stakeholders, using predictive analytics, machine learning and data modeling to optimize card products, customer journeys and campaigns. The contract runs an initial 12 months with possible extension or conversion, with 1 to 2 days per week on-site in downtown Toronto.
Salaire :
69,58 $–77,77 $ de l’heure
Responsabilités :
- Act as subject matter expert in cards and everyday banking
- Analyze large transaction and consumer behavior datasets with SQL, SAS and Python/R
- Partner with data science squads on predictive models and ML
- Build executive-ready presentations and dashboards in Tableau or Power BI
- Work within cross-functional Agile squads
Résumé des exigences :
- 8+ years as business, data or analytics consultant
- 3+ years in banking or credit cards
- Hands-on SQL and SAS, including SAS macros
- Statistical modeling and Python/scikit-learn
- Agile or Scrum experience
- Bachelor's degree in a quantitative field
Outils et compétences
Source et dates
Site carrière / système de candidatures · careerpage
- Date publiée par l’employeur
- 2026-11-10
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
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 |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Candidatures encouragées | Femmes, Autochtones, Personnes handicapées, Personnes racisées, 2ELGBTQI+ |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Statistics, Mathematics, Computer Science, Economics, Engineering |
| Avantages mentionnés | Horaire flexible |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Randstad Canada
Profil d’entreprise sauvegardé
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partner for talent.
Description complète de l’entreprise
As the Canadian leader in recruitment and HR, and one of Canada’s best places to work, we have a uniquely human approach to work. We deliver HR innovation with human interaction at its core. At the unique intersection of technology and humanity, we deliver data-driven insights coupled with a people-first experience that is inherently human. Human Forward. Learn more at www.randstad.ca.
- Abonnés LinkedIn
- 455 966
- Personnes associées sur LinkedIn
- 1 207
- Bureaux déclarés
- 777 Bay Street, Suite 2000, PO Box 128, Toronto, ON M5G 2C8, CA
- 525 Avenue Viger Ouest, Suite 501, Montréal, Quebec H2Z 1G6, CA
- 4295 King St E, Suite 401, Kitchener, Ontario N2P 0C6, CA
- 311 6 Ave SW, Intact Place, East Tower, Suite 1640, Calgary, AB T2P 3H2, CA
- 6345 Dixie Rd, Suite 6, Mississauga, ON L5T 2E6, CA
- 244 Pall Mall St, Suite 400, London, ON N6A 5P6, CA
- 4 Cedar Pointe Dr, Unit D, Barrie, Ontario L4N 5R7, CA
- 2456 Queen St E, Unit 201, Brampton, Ontario L6S 5X9, CA
- 10 Stanley St, Suite 4A, Brantford, Ontario N3S 7N4, CA
- 7055 Boulevard Taschereau, Suite 100, Brossard, Quebec J4Z 1A7, CA
- 1100 Walkers Line, Suite 105, Burlington, Ontario L7N 2G3, CA
- 10655 Southport Rd SW, Suite 1200, Calgary, Alberta T2W 4Y1, CA
- 495 36 St NE, Suite 140, Calgary, Alberta T2A 6K3, CA
- 321 6 Ave SW, Suite W940 (West Tower), Calgary, Alberta T2P 0B2, CA
- 415 Hespeler Rd, Unit 3A, Cambridge, Ontario N1R 6J1, CA
- 6001 60 Ave, Delta, British Columbia V4K 4E2, CA
- 787 Rue St-Pierre, Suite 303, Drummondville, Quebec J2C 3X2, CA
- 10025 102A Ave NW, Suite 1902, Edmonton, Alberta T5J 2Z2, CA
- 2305 111 St NW, Edmonton, Alberta T6J 5E5, CA
- 5 Boulevard Mountain, Granby, Quebec J2G 9M5, CA
- 450 Speedvale Ave W, Unit 103, Guelph, Ontario N1H 7Y6, CA
- 1809 Barrington St, CIBC Building, Unit 501, Halifax, Nova Scotia B3J 3K8, CA
- 275 James St N, Unit 2, Hamilton, Ontario L8R 2L4, CA
- 7655 Boulevard Newman, Suite 75, Montreal, Quebec H8N 1X7, CA
- 2530 Boulevard Daniel-Johnson, Laval, Quebec H7T 2R3, CA
- 2528 Boulevard Daniel-Johnson, Laval, Quebec H7T 2R3, CA
- 5410 Boulevard Guillaume-Couture, Suite 84, Lévis, Quebec G6V 4Z2, CA
- 460 Rue St-Charles O, Suite A, Longueuil, Quebec J4Z 1A7, CA
- 80 Tiverton Ct, Suite 400, Markham, Ontario L3R 0G4, CA
- 7357 Woodbine Ave, Suite 2, Markham, Ontario L3R 1A7, CA
- 4080 Confederation Pkwy, Suite 501, Mississauga, Ontario L5B 0G1, CA
- 6345 Dixie Rd, Suite 6, Mississauga, Ontario L5T 2E6, CA
- 809 Columbia St, New Westminster, British Columbia V3M 1B9, CA
- 20 York Mills Rd, Unit 208, Toronto, Ontario M2P 2C2, CA
- 1600 Carling Ave, Suite 410, Ottawa, Ontario K1Z 1G3, CA
- 2222 Carling Ave, Suite 2, Ottawa, Ontario K2A 1H3, CA
- 4810 Boul Saint-Jean, Montréal, Quebec H9H 4B2, CA
- 755 Boulevard Saint-Jean, Suite 130, Pointe-Claire, Quebec H9R 5M9, CA
- 815 Boulevard Lebourgneuf, Suite 201, Québec, Québec G2J 0C1, CA
- 2010 11th Ave, 7th Floor, Regina, Saskatchewan S4P 0J3, CA
- 208 Boulevard du Curé-Labelle, Sainte-Thérèse, Quebec J7E 2X7, CA
- 3500 Boulevard de la Côte-Vertu, Suite 175, Saint-Laurent, Quebec H4R 2X7, CA
- 6335 Rue Jean-Talon Est, Saint-Léonard, Quebec H1S 3E7, CA
- 310 Wall St, Saskatoon, Saskatchewan S7K 1N7, CA
- 124 Rue Wellington Nord, Suite 300, Sherbrooke, Quebec J1H 5X8, CA
- 701 W Georgia St, Suite 200, Vancouver, British Columbia V7Y 1C6, CA
- 730 View St, Suite 420, Victoria, British Columbia V8W 3Y7, CA
- 100 Regina St S, Suite 140, Waterloo, Ontario N2J 4P9, CA
- 114 Dundas St E, Unit 103, Whitby, Ontario L1N 2H7, CA
- 245 Portage Ave, Winnipeg, Manitoba, CA
- 1 Lombard Pl, Suite 1535, Winnipeg, Manitoba R3B 0X3, CA
- 386 Boulevard Charest E, Quebec, QC G1K 3H4, CA
- Autres noms enregistrés
- Randstad Canada
- Spécialités
- HR Consulting
- IT Recruitment
- Engineering Recruitment
- Staffing and HR
- HR Services
- Recruitment
- HR Outsourcing
- Temporary Hiring
- Permanent Hiring
- Recruiting
- Permanent Jobs
- Temp Jobs
- Hiring Strategy
- Human Resources
- Staffing
- Finding Jobs
- Employer Branding
- Jobs
- and Contract Jobs
- Le profil indique une agence de recrutement
- Oui
As the Canadian leader in recruitment and HR, and one of Canada’s best places to work, we have a uniquely human approach to work. We deliver HR innovation with human interaction at its core. At the unique intersection of technology and humanity, we deliver data-driven insights coupled with a people-first experience that is inherently human. Human Forward. Learn more at www.randstad.ca.
| Champ | Valeur |
|---|---|
| Secteur | Staffing and Recruiting |
| Taille | 501-1,000 employees |
| Siège social | Toronto, ON |
| Type d’organisation | Public Company |
| Fondée en | 1997 |
| Spécialités | HR ConsultingIT RecruitmentEngineering RecruitmentStaffing and HRHR ServicesRecruitmentHR OutsourcingTemporary HiringPermanent HiringRecruiting |
| Offres sur Jobsy | 9 679 |
| Voir la page |
In this role, you will act as a pivotal bridge between technical data science squads and business stakeholders, leveraging predictive analytics, machine learning, and advanced data modeling to optimize credit card product performance, customer journeys, and marketing campaigns. You will analyze large volumes of transaction and consumer behavior data to deliver actionable insights, build strategic business cases, and present high-impact recommendations directly to leadership.
Advantages
Long-Term Engagement: Initial 12-month contract with strong potential for extension or conversion to full-time employment based on performance and business needs.
Cutting-Edge Technology: Work hands-on with advanced AI, machine learning, modern data stacks, and big data ecosystems.
Hybrid Work Flexibility: Downtown Toronto office location with a collaborative hybrid schedule (1–2 days per week on-site).
High Visibility: Lead strategic analytics engagements and directly present data-driven solutions to senior business leaders.
Responsibilities
Strategic Business Consulting: Act as a subject matter expert in consumer cards and everyday banking; translate complex business problems into analytics requirements and quantifiable outcomes demonstrating clear ROI.
Advanced Data Analysis & Modeling: Manipulate, clean, and synthesize large, complex structured and unstructured datasets using SQL, SAS (including macros), and Python/R to uncover behavioral trends, spending patterns, and campaign performance (test vs. control).
Machine Learning & AI Integration: Partner with data science squads to implement, evaluate, and operationalize predictive models and ML algorithms (supervised/unsupervised learning, clustering, regression, decision trees) to drive customer acquisition, card activation, retention, and pricing optimization.
Stakeholder Engagement & Storytelling: Find the narrative within the numbers; craft executive-ready presentations and dashboards (Tableau/Power BI) to communicate complex analytical findings and strategic forecasts to both technical and non-technical leadership.
Agile Squad Collaboration: Work within cross-functional Agile squads alongside product managers, digital analytics teams, marketing, and credit strategy partners to ensure end-to-end delivery of analytics assets.
Qualifications
8+ years of progressive experience as a Business Analyst, Data Analyst, or Analytics Consultant.
3+ years of direct domain knowledge in the Banking or Credit Cards industry (Credit Cards, Everyday Banking, Deposits, or Consumer Lending).
3+ years in a consultative, data-driven role translating raw data into strategic business insights.
Proven expertise extracting, manipulating, and querying large datasets using SQL and SAS (must have hands-on experience building and running SAS macros).
Solid background in statistical modeling techniques (regression, time-series forecasting, clustering) and familiarity with machine learning workflows/frameworks (e.g., Python, scikit-learn).
Strong track record operating within an Agile / Scrum framework.
Exceptional communication and presentation skills with demonstrated success storytelling to executive stakeholders.
Bachelor’s degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, or related field).
Summary
Master’s degree in Analytics, Data Science, or Business (e.g., MMA, MBAN, MSc, MBA).
Experience with digital analytics platforms (e.g., Adobe Analytics).
Familiarity with modern data tools and cloud environments (Spark, Databricks, Azure ML, AWS, Snowflake).
Prior experience working within a Tier-1 Canadian financial institution.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
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