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FP Inc.Source d’offres vérifiée

Data Analyst - Python, SQL, Marketing Analytics

Offre en anglais
  • Toronto, ON
  • Sur place
  • Publié 18 sept. 2026
  • 1 poste

50 $–62 $ / heure

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Type d’emploi
Contrat
Niveau d’expérience
Chef d’équipe · 10+ ans
Formation minimale
Baccalauréat
Postuler avant le
11 oct. 2026
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Mid-Senior level

Résumé du poste

Design and integrate customer segmentation and channel analytics to create personalized customer journeys. Synthesize data across platforms to deliver insights and business recommendations for marketing campaign optimization.

Détails du poste

An Initial AI Screening will be conducted for this role. Please Click Here to complete your AI screening while submitting your application. Duration: 7 Months Typical Day in Role: Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer’s experiences across various channels and move to a personalized 1:1 customer journey. Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement. Explore and incorporate new data sources to enhance customer experience Work closely with partners to review findings and insights regarding campaign performance Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements. Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem Candidate Requirements/Must Have Skills: 8+ years of experience as a Data Analyst, working with datasets, both structured and unstructured data 8+ years’ advanced SQL skills (coding capability) 3+ years’ experience with Python 1+ year reporting experience with PowerBI Nice-To-Have Skills: Google Cloud, Hadoop, Big Data, Data Lake experience Experience in Adobe Analytics be an asset Experience in marketing analytics is highly preferred Previous experience with Banks/ FI is nice to have Soft Skills Required: Strong communication skills and ability to present information clearly are essential Self driven and able to manage time and expectations with stakeholders Education: Bachelor’s degree in related field FP Inc. is committed to creating an inclusive environment where all team members and clients feel like they belong. In accordance with the requirements set out in the Employment Standards Act, FP Inc. hereby declares that AI is utilized in the screening process for this position. The hourly compensation range for this role is $50/hr -$62/hr. We seek applicants with a wide range of abilities, and we provide an accessible candidate experience. We advocate for you and welcome anyone regardless of race, colour, religion, national origin, sex, physical or mental disability, or age.

Ce que vous ferez

Design and integrate customer segmentation and channel analytics to create personalized customer journeys. Synthesize data across platforms to deliver insights and business recommendations for marketing campaign optimization.

Exigences

Requires over 8 years of experience as a Data Analyst with advanced SQL skills and at least 3 years of Python experience. A bachelor's degree in a related field and experience with PowerBI are also required.

Compétences indiquées

  • SQL · Souhaitée
  • Google Cloud · Souhaitée
  • Python · Souhaitée

Autres compétences pertinentes

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

  • Python
  • SQL
  • PowerBI
  • Marketing Analytics
  • Customer Segmentation
  • Channel Analytics
  • Campaign Optimization
  • Data Integration
  • Google Cloud
  • Hadoop
  • Big Data
  • Data Lake
  • Adobe Analytics
  • Stakeholder Communication
  • Data Synthesis
  • Business Recommendation

Domaines d’emploi

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

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