6 meilleures offres (software engineer ii, ads data solutions engineering) (à pourvoir)

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The Personal Development School —À domicile
- Temps plein
- Télétravail
- SQL
- Esprit d'analyse
- Apprentissage automatique
- Assurance Dentaire
- Congés payés
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Adtran —Ottawa, ON
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KOHO Financial —Canada
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- Heures d'arrivée et de départ flexibles

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Senior Data & Analytics Engineer

The Personal Development School
À domicile

Postuler rapidement

Détails du poste

Temps plein
Il y a 3 heures

Avantages

Assurance Dentaire
Congés payés
Travail à domicile
Heures d'arrivée et de départ flexibles
Assurance Vie

Compétences

Expérience en développement de données
Looker
Statistique
Intégration des données
Analyse des causes fondamentales des défauts
Veille économique
Fidélisation de la clientèle
Techniques de validation des données
Assurance qualité des données
Spark
ETL infonuagique
Amélioration des processus
Git
Google Cloud Platform
Expérience en données et base de données
SQL
Analyse statistique
Esprit d'analyse
Apprentissage automatique
Apache Airflow
Préparation de rapports et de présentations
Prévision
Optimisation des requêtes
Analytique des données
GitHub
Agile
Test A/B
Analyse des causes profondes
Visualisation de données
HubSpot
Google Ads
Exigences d'affaires
Logiciel-service
Intelligence artificielle
Collaboration interfonctionnelle
Google Analytics
Analyse statistique des données
BigQuery
Compétences en communication
Python
Communication interfonctionnelle
Pipeline
Modélisation dimensionnelle

Description complète du poste

About The Personal Development School

The Personal Development School (PDS) is a leading online learning platform dedicated to helping people improve their emotional well-being, relationships, and personal growth through education based on attachment theory.

We are looking for a Senior Analytics Engineer to lead our analytics infrastructure and help transform data into meaningful business insights. This role combines data engineering, analytics, and AI-powered problem-solving to support strategic decision-making across the organization.

You will work closely with Marketing, Product, Sales, Finance, Customer Success, and Leadership to build reliable data solutions, automate reporting, and uncover insights that drive business growth.

Key Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines and modern data architectures.
Build, optimize, and maintain our analytics platform using Google BigQuery, dbt, and Google Cloud Platform (GCP).
Develop scalable data models and semantic layers that serve as the organization's trusted source of truth.
Build interactive dashboards and self-service reporting using Looker Studio.
Partner with stakeholders to translate business requirements into scalable analytics solutions.
Analyze customer acquisition, conversion, engagement, retention, churn, revenue, and operational performance to identify trends and business opportunities.
Ensure data quality, governance, lineage, and documentation through testing, monitoring, and validation.
Optimize pipelines and queries for performance, reliability, scalability, and cost efficiency.
Build and maintain automated deployment workflows (CI/CD) for analytics and data products.
Troubleshoot data issues, perform root cause analysis, and implement long-term solutions.
Identify opportunities to leverage AI and automation to improve analytics, reporting, forecasting, and business decision-making.
Promote analytics best practices and foster a data-driven culture across the organization.

QualificationsRequired

5+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or a similar role.
Advanced SQL and Python skills.
Hands-on experience with Google BigQuery and Google Cloud Platform (GCP).
Experience building data transformation workflows using dbt.
Experience with workflow orchestration tools such as Airflow or Cloud Composer.
Strong understanding of data warehousing, dimensional modeling, and modern analytics architecture.
Experience developing dashboards and reports using Looker Studio or similar BI platforms.
Experience designing, optimizing, and maintaining scalable ETL/ELT pipelines.
Strong query optimization, troubleshooting, and analytical problem-solving skills.
Experience with Git and CI/CD practices.
Excellent communication skills with the ability to present technical findings to non-technical stakeholders.
Experience working in Agile environments and collaborating with cross-functional teams.

Nice to Have

Experience working with subscription, SaaS, or e-learning businesses.
Experience integrating data from platforms such as Google Analytics 4, Google Ads, Meta Ads, Stripe, HubSpot, Thinkific, ActiveCampaign, or similar SaaS applications.
Experience analyzing customer lifecycle metrics including CAC, LTV, retention, churn, and recurring revenue.
Experience with experimentation, A/B testing, and statistical analysis.
Experience with real-time data pipelines or streaming technologies.
Experience using AI-powered analytics, machine learning, or generative AI to automate reporting, generate insights, improve forecasting, or enhance business decision-making is highly preferred.
Familiarity with AI tools such as ChatGPT, Gemini, Claude, GitHub Copilot, or similar technologies to improve analytics workflows and productivity.

Success in This Role

Within your first six months, you will:

Build a reliable, scalable, and well-documented analytics platform.
Improve data quality, governance, and accessibility across the organization.
Automate reporting and reduce manual processes.
Deliver dashboards and insights that become the foundation for business decision-making.
Identify opportunities that improve customer acquisition, retention, operational efficiency, and revenue.
Help establish a culture where decisions are driven by trusted, actionable data.

What We Offer

Performance-based bonuses.
Health insurance.
Fully remote work with flexible working hours.
Professional development opportunities, including complimentary access to Personal Development School courses.
A collaborative, supportive, and mission-driven team where you'll have a direct impact on business growth.

Job Type: Full-time

Benefits:

Dental care
Life insurance
Paid time off
Work from home

Experience:

Data Engineering: 6 years (required)
Data analytics: 6 years (required)

Work Location: Remote

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