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Added 6 months ago
T
Business Intelligence Analyst
TouchBistro
Toronto, Ontario
- $90,000 to $105,000 CAD / year
- Full-time
You have experience with SQL-based technologies such as Microsoft SQL Server, Postgres, Oracle , Snowflake or Redshift
Added 6 months ago
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Senior Product Engineer
LTM
Ontario · Ontario, Canada
- $75,163 to $79,609 USD / year
- Full-time
Perform data transformations aggregations and validations using Spark SQL DataFrames
Added 6 months ago
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Senior Product Engineer
LTM
Ontario · Ontario, Canada
- $75,163 to $79,609 USD / year
- Full-time
Perform data transformations aggregations and validations using Spark SQL DataFrames
Added 6 months ago
S
Senior Platform Engineer
Scotiabank
Toronto, Ontario
- Full-time
Experience working with databases and data infrastructure (e.g., SQL Server, Elasticsearch, Redis).
Added 3 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
Strong technical proficiency in Python, SQL, and modern software engineering practices including version control, CI/CD, automated testing, observability, and deployment automation.
Added 3 months ago
DD
Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
- Full-time
Experience with SQL and relational data modeling; familiarity with Go and/or C++ is a strong advantage.
Added 1 month ago
Senior - Decision Modelling (Montreal)
EY
Montreal, QC
Exposure to coding languages such as VBA, Python or SQL (considered an asset but is not required)
Added 1 month ago
Senior - Decision Modelling (Calgary)
EY
AB · Calgary, AB
Exposure to coding languages such as VBA, Python or SQL (considered an asset but is not required)
Added 3 months ago
Summer 2027 Intern - Elevate/Data Science [UG/Masters]
master-TMS
Toronto, Ontario
Proficiency in both Python and SQL for data extraction, transformation, and analysis and a demonstrated understanding of ETL processes and of the general machine learning workflow.
Added 3 months ago
M
Summer 2027 Intern - Healthcare & Life Sciences Division Toronto [UG/Masters]
master-TMS
Toronto, Ontario
- $40 CAD / hour
Proficiency in Microsoft Excel and PowerPoint; experience with SQL, Python, or other analytics tools is a plus.
Added 2 months ago
DI
Sr Analyst, Business Insights
Definity Insurance Company
Toronto, ON
- Full-time
Experience with data analysis, SQL, Google Analytics 4, Tag Manager, Looker, Tableau, Google Cloud (Bigquery), Excel, PowerPoint, Python/programming.
Added 3 months ago
AI Specialist
R W Tomlinson
Ottawa, Ontario
Strong programming skills in Python, SQL, or other relevant data analysis tools
Added 1 month ago
RS
Application Support Engineer I
Ryder System, Inc.
Toronto, ON
- Full-time
Basic programming knowledge (SQL, Python, JavaScript, or TypeScript , Required
Added 1 month ago
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Trading Systems Analyst
Pinnacle
Toronto, ON · North York, ON
- Full-time
We are seeking a technically driven and experienced individual with a solid background in the Sportsbook industry and a strong passion for sports and statistics. This role requires…
Added 1 month ago
EE
Quality Assurance Specialist
Enerva Energy Solutions
Calgary, AB
- $55,000 to $70,000 CAD / year
- Full-time
Comfort with SQL, and the habit of validating data at the source rather than trusting what the UI shows you.
Added 1 month ago
EC
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse Chrome River
Toronto, ON
- Full-time
Familiarity with object-oriented programming languages and concepts (Python, Java, etc..)
Added 1 month ago
EC
SDET III (IC3) - Software Engineer in Test III
Emburse Chrome River
Toronto, ON
- Full-time
Familiarity with object-oriented programming languages and concepts (Python, Java, etc..)
Added 1 month ago
OS
Senior Associate, Analytics Solutions - Technology Services Group
Optimus SBR
Toronto, ON
- Full-time
Best Workplaces™ with the Most Trusted Executive Team 2026
Added 1 month ago
Actuarial Analyst (Pricing)
Munich Re
Toronto, ON
…tools such as MS Office, Power BI and languages such as VBA, python, SQL). • Strong analytical and Problem-solving skills and looking for efficient, automated…
Added 1 month ago
M
Senior AI Engineer
Mastercard
Vancouver, BC
- Full-time
Proficiency in Python and SQL, with solid software engineering fundamentals in testing, version control, packaging, and code review.
Added 1 month ago
A
Data Scientist / Analytics Engineer (12-month maternity leave contract)
audiobooks.com
Burlington, ON
- Contract
Develop, maintain, and troubleshoot ETL/data pipelines using Python, PySpark, SQL, and AWS Glue.
Added 6 months ago
TI
Data Engineer (Python/Spark)
Take-Two Interactive Software
Toronto, Ontario
- $120,000 USD / year
- Full-time
The ideal candidate is a strong Python developer who has some experience in front-end technologies like JavaScript, CSS3 and/or HTML5. They are a self-starter, comfortable with ambiguity,…
Added 6 months ago
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Principal Software Engineer - AI
Boomi
Vancouver, British Columbia
- Full-time
Advanced Backend Development: Deep expertise in Python and Java with proficiency in modern frameworks including FastAPI, Django, Flask, Spring Boot. Proven ability to build highly scalable…
Added 6 months ago
B
Data Engineer
BrainStation
Toronto, Ontario
- $90,000 to $125,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 6 months ago
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Senior Specialist - Data Sciences
LTM
Ontario · Ontario, Canada
- $81,325 to $125,000 USD / year
- Full-time
Work with Data and Analytics experts to strive tor greater functionality in our data systems

audiobooks.com

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

Burlington, ON, L7L 5K6, Canada

Contract

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Job details

Job type: Contract
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

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 and provide analytical insights across customer lifecycle, marketing, and revenue data.

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
ETL
Data pipelines
Power BI
DAX
M Language
Data modeling
Data governance
Git
KPI development
Customer lifecycle analytics

Benefits

Full benefits
Healthy snacks
Book club
Lunch outings

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Analytics Engineer
Python
PySpark
SQL
AWS Glue
Amazon S3
Amazon Athena
ETL
Power BI
DAX
M Language
Data Pipelines
Data Governance
Git
KPIs
Customer Lifecycle
Churn Analysis
Retention
Marketing Analytics
Data Quality
Cloud Platforms
Relational Databases
APIs
Data Modeling
Business Intelligence
Cohort Analysis
Segmentation
Attribution
Version Control

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