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Added 1 month ago
Analytics Engineer III, Assurance
ACV
Toronto, ON
The Analytics Engineer III on the ACV Assurance team is a skilled practitioner who transforms raw data into trusted, decision-ready models and reports that drive the business forward.…
Added 1 month ago
Senior Analytics Engineer
Futures Sport & Entertainment
Swift Current, SK
Full-time
We are looking for a Senior Analytics Engineer to join Futures. In this hybrid role, you will work closely with both the Tech team and client-facing teams, playing a key role in the…
Added 1 month ago
Manager, Analytics Engineer
RBC
Mississauga, ON
Full-time
RBC is building modern analytics capabilities centered on cloud data platforms, semantic layers, and self-service analytics. Our goal: create data products that serve distinct business…
Added 1 month ago
Manager, Analytics Engineer
Royal Bank of Canada
Mississauga, ON
Full-time
RBC is building modern analytics capabilities centered on cloud data platforms, semantic layers, and self-service analytics. Our goal: create data products that serve distinct business…
Added 1 month ago
IT Business Systems Engineer – Collaboration Tools & Analytics /Spécialiste des systèmes d’affaires TI – Outils de collaboration et analytique
TD SYNNEX Canada ULC
Mississauga, ON
Full-time
Added 20 days ago
Senior Analytics Engineer
Asana
Vancouver, BC
The Data Science & Analytics team at Asana is how the company turns data into decisions - defining the questions that matter, surfacing the answers, and making sure insight is at the center…
Added 1 month ago
Staff Analytics Engineer
Jane
Remote, Canada
Full-time · Remote
…governance, reliable models, and a more self-service, AI-augmented analytics experience. If you enjoy solving hard technical problems with company-wide impact, this role has real…
Added 1 month ago
Senior Analytics Engineer
Passage
Toronto, ON
Full-time
…already runs on - executive KPIs, marketing attribution, funnel analytics, and internal ops tools are all powered by it today. Your job is to take ownership, keep it trustworthy, and extend…
Added 2 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
Added 2 months ago
Senior Data Engineer / Analytics Engineer (Amazon QuickSight)
Avenue Code
Canada
Full-time
Avenue Code is seeking a Senior Data Engineer / Analytics Engineer to support a high-impact Business Intelligence modernization initiative for one of Canada's leading digital organizations.
Added 3 months ago
Lead Marketing Data & Analytics Engineer
Jetson
North Vancouver, British Columbia
Full-time
Being the analytics partner to the GTM team. The marketing, performance, and exec teams will bring you real questions all the time - whether a campaign worked, why one market is lagging…
Added 1 month ago
Analytics Engineer
KOHO
Remote, Canada
$110,000 to $135,000 CAD / year
Full-time · Remote
KOHO is looking for an Analytics Engineer to build and scale the reporting pipelines and data models that power decision-making across the company. Working alongside fellow Analytics…
Added 3 months ago
Staff Analytics Engineer
ecobee
Toronto, Ontario
Full-time
The Staff Analytics Engineer is a deeply technical individual contributor who owns the transformation layer of the data platform, treats analytical data as a product, and drives how data is…
Added 1 month ago
IT Business Systems Engineer – Collaboration Tools & Analytics /Spécialiste des systèmes d’affaires TI – Outils de collaboration et analytique
TD SYNNEX
Mississauga, ON
Full-time
Added 2 months ago
Data Analytics Engineer
Mastronardi Produce
Kingsville, ON
Full-time
Our head office in Kingsville, ON is currently seeking a Data Analytics Engineer to join our team! As a Data Analytics Engineer, you sit at the front of the chain - turning ambiguous…
Added 2 months ago
Staff Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Canada
Full-time
Join the Data Intelligence team at Achievers, where we are building analytics and reporting solutions that help clients unlock meaningful insights, measure program outcomes, and understand…
Added 1 month ago
Analytics Engineer
BRP
Sherbrooke, QC
Full-time
BRP is seeking an Analytics Engineer to join its analytics team and play a key role at the intersection of data engineering, architecture, and business analytics. We are looking for a…
Added 2 months ago
Senior Analytics Engineer
Super.com
Remote, Canada
$118,000 to $170,000 USD / year
Full-time · Remote
We are looking for a Senior Analytics Engineer to join our growing Data & Analytics team! As a Sr. Analytics Engineer at Super.com, you will evolve our foundational data infrastructure to…
Added 3 days ago
Senior Analytics Engineer, Workbench
Fulfillment IQ
Remote, Canada
$125,000 to $155,000 CAD / year
Full-time · Remote
Job Title: Senior Analytics Engineer, Workbench
Added 2 months ago
Sr. Software Development Engineer, Advanced Analytics
Amazon
Toronto, ON
…large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering AI, modeling, and data solutions that empower our customers to make…
Added 10 days ago
Data Scientist / Analytics Engineer (12-month maternity leave contract)
Audiobooks.com
Burlington, ON
Contract
We are seeking a hands-on Data Scientist / Analytics Engineer to join our team for a 12-month maternity leave contract.
Added 10 days ago
Data Scientist / Analytics Engineer (12-month maternity leave contract)
audiobooks.com
Burlington, ON
Contract
We are seeking a hands-on Data Scientist / Analytics Engineer to join our team for a 12-month maternity leave contract.
Added 11 days ago
Senior Intelligence Analytics Engineer
Xplore Inc
Markham, ON
Full-time
Databricks Certified Data Analytics or Generative AI Engineer Associate certifications is an asset.
Added 11 days ago
Innovation, Data & Analytics Team, AI/ML Engineer (Agentic Systems)
Pfizer
Montreal, QC
Full-time
Own the orchestration layer and agent architecture behind the Innovation, Data & Analytics team's AI-based workflows, building and hardening agentic systems that translate analytical…
Added 11 days ago
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
Full-time
3+ années expérience en rédaction de code SQL en tant qu’ingénieur analytique (analytics engineer), analyste de données (data analyst), ingénieur de données (data engineer) ou autres rôles…

Audiobooks.com

Data Scientist / Analytics Engineer (12-month maternity leave contract)

Burlington, ON, Canada

Job type: Contract
Apply by: Oct 10, 2026
Experience: 3+ years of experience in Data Science, Analytics Engineering, Data Engineering, or a similar hands-on data role.
Posting language: English
Posted: Sep 10, 2026

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Original job description

Data Scientist / Analytics Engineer

We are seeking a hands-on Data Scientist / Analytics Engineer to join our team for a 12-month maternity leave contract.

This role combines data engineering, analytics, business intelligence, and data science. The successful candidate will maintain and develop data pipelines, transform large and complex datasets, build and support business-critical KPIs and reporting, and provide analytical insights across customer lifecycle, subscription, engagement, marketing, and revenue data.

The ideal candidate is comfortable working independently from business requirements through data investigation, development, validation, and final reporting.

Key Responsibilities

Develop, maintain, and troubleshoot ETL/data pipelines using Python, PySpark, SQL, and AWS Glue.
Process large datasets from relational databases, APIs, cloud platforms, marketing systems, and application/event data.
Build and maintain analytics-ready datasets using Amazon S3, AWS Glue, Glue Data Catalog/Crawlers, Workflows, and Amazon Athena.
Write complex SQL and PySpark transformations involving joins, window functions, aggregations, deduplication, date/time logic, and large historical datasets.
Maintain incremental data processing workflows, checkpoints, partitioned datasets, and recurring production jobs.
Develop and maintain customer lifecycle analytics, including free trials, active subscriptions, cancellations, suspensions, reactivations, churn, retention, and winback analysis.
Analyze customer engagement and application/session activity and connect behavioral data with subscription history.
Develop and maintain weekly and monthly KPIs, cohort analyses, customer segmentation, and performance reporting.
Integrate and analyze marketing acquisition and advertising data across platforms, channels, campaigns, and geographies.
Develop and maintain datasets and metrics used in Power BI reporting.
Investigate discrepancies, data quality issues, schema changes, pipeline failures, and unexpected changes in business metrics.
Maintain documentation for important datasets, business rules, KPI definitions, and data transformations.
Continue to implement a data governance strategy.
Collaborate to plan data requirements for new projects to ensure no gaps in measuring outcomes.

Required Qualifications

3+ years of experience in Data Science, Analytics Engineering, Data Engineering, or a similar hands-on data role.
Advanced SQL skills, including complex joins, CTEs, aggregations, and window functions.
Strong Python skills for data processing, automation, and ETL.
Handson experience with PySpark / Apache Spark.
Experience working with AWS data services, particularly AWS Glue, Amazon S3, and Amazon Athena.
Experience designing, maintaining, and troubleshooting production data pipelines.
Experience with Power BI Service, Desktop and Dax studio
Experience with Dax language and M Language in Power query.
Strong understanding of data transformation, validation, data quality, and analytical dataset design.
Ability to work with large datasets and troubleshoot complex data issues independently.
Strong analytical and problem-solving skills.
Experience with Git/version control.
Ability to translate business questions into technical requirements and measurable KPIs.
Strong communication skills and ability to work with both technical and business stakeholders.

Nice To Have Qualifications

Experience with churn, retention, cohort, customer lifecycle, LTV, or engagement analysis.
Experience with marketing and attribution platforms such as Google Ads, Apple Search Ads, Adjust, CJ, or similar platforms.
Experience integrating data through REST APIs.
Familiarity with additional AWS services such as Lambda, RDS/Aurora, IAM, or Lake Formation.
Experience with customer segmentation, RFM analysis, statistical modeling, or predictive analytics.
Experience with Looker and Google services.

Ideal Candidate

The ideal candidate is a technically strong and detail-oriented data professional who is comfortable owning a problem end-to-end. They should be equally comfortable troubleshooting a data pipeline, writing complex SQL or PySpark transformations, investigating a KPI discrepancy, integrating a new data source, and explaining results to business stakeholders.

Because this role supports existing production data processes and business-critical reporting, strong hands-on SQL, Python/PySpark, and AWS experience is particularly important.

WORKING WITH US

At Audiobooks.com, you'll never feel tied to your desk. We employ a hybrid work policy, working 3 days a week from home (Tuesdays & Thursdays in office). We've got two stories of really bright, open space in a great location that's just a 10minute walk from Appleby GO Station, and we offer free parking. We provide our employees with healthy snacks, full benefits, and an unlimited paid vacation policy. Our close-knit group runs a fun book club and frequent lunch outings for our resident foodies. Everyone who works here is friendly, talented, and passionate, and enjoys getting their hands dirty building amazing products.

Audiobooks.com is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive and accessible workplace where all employees feel valued and respected.

We are committed to providing accommodations throughout the recruitment and selection process in accordance with applicable human rights and accessibility legislation. If you require an accommodation during any stage of the recruitment process, please let us know, and we will work with you to meet your needs.

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More about this job

Responsibilities

The role involves developing and maintaining ETL data pipelines and analytics-ready datasets using AWS services and Python. You will also build business-critical KPIs, perform customer lifecycle analysis, and provide analytical insights to support decision-making.

Requirements

Candidates must have 3+ years of experience in data science or engineering with advanced proficiency in SQL, Python, and PySpark. Experience with AWS data services and Power BI is essential for managing production data processes and reporting.

Skills

Python
PySpark
SQL
AWS Glue
Amazon S3
Amazon Athena
Power BI
Data pipelines
ETL
Data modeling
Customer lifecycle analytics
Data governance
Git
Dax
M Language

Benefits

Full benefits
Healthy snacks
Free parking

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Analytics Engineering
Data Engineering
Python
PySpark
SQL
AWS Glue
Amazon S3
Amazon Athena
Power BI
ETL
Data Pipelines
Customer Lifecycle
KPIs
Cohort Analysis
Data Governance
Git
Dax
M Language
Cloud Platforms
Relational Databases
Marketing Analytics
Churn Analysis
Retention
Data Quality
Automation
Business Intelligence
Data Transformation
API Integration
Statistical Modeling

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