Senior Data Analyst

Job Title: Senior Analyst - Campaign Execution Location: Toronto, ON (Hybrid – 4 Days Onsite) Duration-12 Months+ Key Skills: Focused on building and executing marketing campaigns. Strong SQL and Python are the key Responsibility: Collaborate with key business stakeholders within Personal & Commercial Banking and Insurance to design, build and deploy data-driven client treatments Evolve and optimize campaign test & learn design and build to ensure alignment to business and marketing objectives Automate evergreen campaigns Responsible for quality assurance to ensure the campaign requirements accurately match the design and build Ensure corporate reputation is maintained by adhering to all best practices, privacy & legal guidelines, data stewardship and governance policies Must Have: 5+ years speciality expertise - database / relationship marketing, use of analytical tools, data mining Experience with various data housing environments (e.g. Teradata, Unix, DataLake, cloud) Ability to function in a rapidly changing environment and reset priorities Highly organized and extremely detail oriented with continuous attention to detail and quality Ability to work steadily and accurately under pressure, especially during peak periods Time management Ability to breakdown problems into smaller pieces, think critically and communicate complex information Nice-to-have: Experience in the financial services industry, including understanding of marketing Strong desire to learn new tools and try new concepts that evolve and optimize current processes Experience in campaign design and delivery (test & learn design, statistical significance…etc) If interested please share resume directly @[email protected] “Mindlance is an equal-opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and a work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process”. We should include, “We use AI in our Hiring processes”, in all job postings for Canada.

Collaborate with stakeholders to design and deploy data-driven client treatments and automate evergreen marketing campaigns. Ensure quality assurance and adherence to privacy, legal, and data governance guidelines.

Requires over 5 years of expertise in database or relationship marketing and proficiency with analytical tools and data housing environments. Candidates must be detail-oriented and able to communicate complex information in a fast-paced environment.

• SQLSouhaitée
• Assurance qualitéSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Sql
• Python
• Marketing Campaigns
• Data Mining
• Teradata
• Unix
• DataLake
• Cloud
• Campaign Design
• Quality Assurance
• Data Stewardship
• Statistical Significance

• Data & Analytics
• Marketing
• Finance & Accounting
• Technology
• Consulting

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

4 jours par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte