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Sekure Payment Experts

Business Intelligence Analyst / Analyste en intelligence d’affai

Montreal, QC, H3B 2E3, Canada

Job type: Full-time
Posting language: English · French
Posted: Sep 30, 2026

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Applications open in a new tab.

Original job description

English section of this bilingual listing.

(Une version française suivra)

As a Business Intelligence Analyst, you will report to the VP of Sales & Marketing, with a dotted line to the Sales Operations Director and Marketing Director, and be responsible for conducting detailed analyses of sales and marketing data to extract insights that inform Sekure's business development and drive growth: performance management and reporting, forecasting, attribution, and the building of analytical tools to optimize strategy and performance across the full funnel.

What a typical day looks like:

You will collaborate with stakeholders across Sales, Marketing, and Revenue Intel & Tech to provide insights and build forecasting tools and predictive models used by leadership to allocate resources effectively.
You will own the numbers on both sides of the funnel: lead source and channel performance, cost per lead and cost per acquisition, conversion by segment, speed to lead, AE productivity, and close rates.
You will conduct ongoing data modelling and analysis with a critical eye and follow the data wherever it leads, proactively identifying opportunities to improve business performance, operations, and productivity.
You will build experimentation into how we work. Design and analyze A/B and multivariate tests across campaigns, sales messaging, and outreach sequences, and help teams structure their own tests to avoid decisions on gut feel.
You will build and maintain dashboards in Power BI and Dynamics 365, working from the data models maintained by our Revenue Intel & Tech team rather than building parallel pipelines.
You will work closely with leadership and subject matter experts to translate your findings into rich, audience-appropriate interactive visualizations, recommend actionable business initiatives, and provide automated reports that let them track KPIs assigned to those action items.
You will partner with Marketing and Revenue Intel & Tech to maintain shared definitions for lead sources, lifecycle stages, and attribution rules, so that everyone in the business is working from the same numbers.

This role is for you if:

You have 2+ years of sales and/or marketing data analytics experience and a demonstrated track record that underscores your analytical and problem solving abilities including: dashboard and report building, data and attribution modelling, predictive analysis, and funnel metrics.
You build with AI, not just alongside it. You have hands-on experience with tools like Claude Code, Cortex Code, or Codex, whether at work or on your own time, and you reach for them to prototype, automate, and move faster.
You are comfortable serving two stakeholders. You can prioritize competing requests, push back when something isn't worth the effort, and work without a senior analyst above you.
You are a strong communicator and presenter. You understand that not everyone is as excited about analytics as they should be, and are able to interpret your findings, distill, and present the correct information to the right audience from the executive level down.

Required experience:

SQL and MS Excel
Power BI (Tableau or similar asset)
CRM platforms, ideally Microsoft Dynamics 365 Customer Insights, Journeys
Digital analytics and tagging: GA4 and Google Tag Manager
Multi-touch attribution and lead source analysis
Experimentation and A/B testing: test design, sample sizing, statistical significance, and reading results
Paid media platform data: Google Ads, Meta, display and programmatic
Written and spoken proficiency in English
Contact or call centre platform experience is an asset
Bonus points if you include a portfolio, dashboard, or side project built with AI tooling. We care more about what you've made than where you made it.

** Version française**

Read the full bilingual original

(Une version française suivra)

What a typical day looks like:

You will collaborate with stakeholders across Sales, Marketing, and Revenue Intel & Tech to provide insights and build forecasting tools and predictive models used by leadership to allocate resources effectively.

You will own the numbers on both sides of the funnel: lead source and channel performance, cost per lead and cost per acquisition, conversion by segment, speed to lead, AE productivity, and close rates.

You will conduct ongoing data modelling and analysis with a critical eye and follow the data wherever it leads, proactively identifying opportunities to improve business performance, operations, and productivity.

You will build experimentation into how we work. Design and analyze A/B and multivariate tests across campaigns, sales messaging, and outreach sequences, and help teams structure their own tests to avoid decisions on gut feel.

You will build and maintain dashboards in Power BI and Dynamics 365, working from the data models maintained by our Revenue Intel & Tech team rather than building parallel pipelines.

You will work closely with leadership and subject matter experts to translate your findings into rich, audience-appropriate interactive visualizations, recommend actionable business initiatives, and provide automated reports that let them track KPIs assigned to those action items.

You will partner with Marketing and Revenue Intel & Tech to maintain shared definitions for lead sources, lifecycle stages, and attribution rules, so that everyone in the business is working from the same numbers.

This role is for you if:

You have 2+ years of sales and/or marketing data analytics experience and a demonstrated track record that underscores your analytical and problem solving abilities including: dashboard and report building, data and attribution modelling, predictive analysis, and funnel metrics.

You build with AI, not just alongside it. You have hands-on experience with tools like Claude Code, Cortex Code, or Codex, whether at work or on your own time, and you reach for them to prototype, automate, and move faster.

You are comfortable serving two stakeholders. You can prioritize competing requests, push back when something isn't worth the effort, and work without a senior analyst above you.

You are a strong communicator and presenter. You understand that not everyone is as excited about analytics as they should be, and are able to interpret your findings, distill, and present the correct information to the right audience from the executive level down.

Required experience:

SQL and MS Excel

Power BI (Tableau or similar asset)

CRM platforms, ideally Microsoft Dynamics 365 Customer Insights, Journeys

Digital analytics and tagging: GA4 and Google Tag Manager

Multi-touch attribution and lead source analysis

Experimentation and A/B testing: test design, sample sizing, statistical significance, and reading results

Paid media platform data: Google Ads, Meta, display and programmatic

Written and spoken proficiency in English

Contact or call centre platform experience is an asset

Bonus points if you include a portfolio, dashboard, or side project built with AI tooling. We care more about what you've made than where you made it.

** Version française**

À titre d’analyste en intelligence d’affaires, vous relèverez de la vice-présidence, Ventes et Marketing, avec un lien fonctionnel avec la direction des opérations de ventes et la direction du marketing. Vous serez responsable d’effectuer des analyses détaillées des données de ventes et de marketing afin d’en tirer des constats qui orientent le développement des affaires de Sekure et stimulent la croissance : gestion de la performance et production de rapports, prévisions, attribution et création d’outils analytiques visant à optimiser la stratégie et la performance dans l’ensemble de l’entonnoir.

À quoi ressemble une journée typique :

Vous collaborerez avec les parties prenantes des équipes Ventes, Marketing et Revenue Intel & Tech afin de fournir des constats et de créer des outils de prévision et des modèles prédictifs utilisés par la direction pour répartir efficacement les ressources.
Vous serez responsable des données des deux côtés de l’entonnoir : performance des sources et des canaux de prospects, coût par prospect et coût d’acquisition, conversion par segment, délai de prise en charge des prospects, productivité des AE et taux de conclusion.
Vous effectuerez de façon continue de la modélisation et de l’analyse de données avec un regard critique, en suivant les données là où elles mènent et en identifiant de manière proactive des occasions d’améliorer la performance de l’entreprise, les opérations et la productivité.
Vous intégrerez l’expérimentation à nos façons de travailler. Vous concevrez et analyserez des tests A/B et multivariés portant sur les campagnes, les messages de vente et les séquences de prospection, et aiderez les équipes à structurer leurs propres tests afin d’éviter de prendre des décisions fondées sur l’intuition.
Vous créerez et maintiendrez des tableaux de bord dans Power BI et Dynamics 365, en travaillant à partir des modèles de données maintenus par notre équipe Revenue Intel & Tech plutôt que de créer des pipelines parallèles.
Vous travaillerez en étroite collaboration avec la direction et les experts en la matière afin de traduire vos constats en visualisations interactives riches et adaptées à l’auditoire, de recommander des initiatives d’affaires concrètes et de fournir des rapports automatisés leur permettant de suivre les indicateurs clés de performance associés à ces mesures.
Vous collaborerez avec les équipes Marketing et Revenue Intel & Tech afin de maintenir des définitions communes pour les sources de prospects, les étapes du cycle de vie et les règles d’attribution, de façon à ce que toute l’entreprise travaille à partir des mêmes données.

Ce poste est pour vous si :

Vous possédez au moins 2 ans d’expérience en analyse de données de ventes et/ou de marketing et avez démontré de solides capacités d’analyse et de résolution de problèmes, notamment en création de tableaux de bord et de rapports, en modélisation des données et de l’attribution, en analyse prédictive et en analyse des indicateurs de l’entonnoir.
Vous créez avec l’IA, et pas seulement à côté d’elle. Vous avez une expérience pratique avec des outils comme Claude Code, Cortex Code ou Codex, que ce soit au travail ou dans vos projets personnels, et vous les utilisez pour créer des prototypes, automatiser et avancer plus rapidement.
Vous êtes à l’aise de servir deux parties prenantes. Vous savez prioriser des demandes concurrentes, remettre en question les demandes qui ne valent pas l’effort et travailler sans analyste principal au-dessus de vous.
Vous êtes une personne communicatrice et présentatrice chevronnée. Vous comprenez que tout le monde n’est pas aussi passionné par l’analytique qu’il devrait l’être et vous êtes capable d’interpréter vos constats, de synthétiser l’information et de présenter les bons renseignements au bon auditoire, de la haute direction jusqu’aux autres niveaux de l’organisation.

Expérience requise :

SQL et MS Excel
Power BI (Tableau ou un outil similaire constitue un atout)
Plateformes CRM, idéalement Microsoft Dynamics 365 Customer Insights, Journeys
Analyse numérique et balisage : GA4 et Google Tag Manager
Attribution multi-contact et analyse des sources de prospects
Expérimentation et tests A/B : conception des tests, taille des échantillons, signification statistique et interprétation des résultats
Données des plateformes de médias payants : Google Ads, Meta, affichage et programmatique
Maîtrise de l’anglais à l’écrit et à l’oral
Une expérience avec une plateforme de centre de contacts ou de centre d’appels constitue un atout
Points bonis si vous incluez un portfolio, un tableau de bord ou un projet personnel créé à l’aide d’outils d’IA. Nous accordons plus d’importance à ce que vous avez créé qu’à l’endroit où vous l’avez créé.

Apply About employer

More about this job

Responsibilities

You will conduct detailed analyses of sales and marketing data to provide actionable insights, build forecasting tools, and optimize strategy across the full funnel. Additionally, you will collaborate with cross-functional teams to maintain data integrity and present findings to leadership through interactive visualizations.

Requirements

Candidates must have at least 2 years of experience in sales or marketing data analytics with proficiency in SQL, Excel, and Power BI. Strong communication skills and hands-on experience with AI tools for prototyping and automation are required.

Skills

SQL
MS Excel
Power BI
Microsoft Dynamics 365
GA4
Google Tag Manager
Multi-touch attribution
A/B testing
Predictive modeling
Data visualization
Sales analytics
Marketing analytics
Statistical analysis
AI tooling
Dashboard building
Funnel metrics

Visa sponsorship

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Keywords

Business Intelligence
SQL
MS Excel
Power BI
Microsoft Dynamics 365
GA4
Google Tag Manager
Multi-touch attribution
A/B testing
Predictive analysis
Data modeling
Claude Code
Cortex Code
Codex
Google Ads
Meta
Programmatic advertising
Sales operations
Marketing analytics
KPI tracking
Funnel metrics
Data visualization
Statistical significance
Lead source analysis
Customer Insights
Revenue intelligence
Performance management
Forecasting
AI tooling
Dashboarding

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