Data Operations Specialist
Job in
Montreal, Montréal, Province de Québec, Canada
Listing for:
Ubisoft
Full Time
position
Listed on 2026-02-16
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Security, Data Science Manager
Job Description & How to Apply Below
Location: MontrealJob Description
As a Data Operations Specialist at Ubisoft Montreal, you will join the Ubisoft Data Office as part of the Production Intelligence Project. Your role is to help create, structure, and maintain reliable production data that can be shared across teams such as production, marketing, and sales, as well as with leadership, through consistent and meaningful indicators.
As a Data Operations Specialist
, you will focus on ensuring the quality, clarity, and usability of data. You will build a deep understanding of the data ecosystem, identify gaps or inconsistencies, and help define a clear path toward more reliable and standardized data practices across the organization. Given the visibility of this role, you will collaborate closely with many teams and act as a trusted partner to support long-term alignment.
What you’ll do
Analyze business and analytical needs across production and supporting teamsSupport production teams in implementing tools according to shared data guidelinesAct as a key contact for data collection, validation, and usage across systemsDefine and promote a common data language to improve consistency and understandingDocument and maintain a knowledge base covering data definitions, rules, and life cyclesMap data sources and local usages
, then help converge them into a unified visionMonitor data quality indicators
, identify root causes of inconsistencies, and assess impactsPropose and apply standardization and remediation plans
, including governance improvementsDesign or improve tools and automated solutions to support data operationsQualifications
Strong understanding of data management principles and best practicesHands-on experience with SQL
, Excel
, and data platforms such as Snowflake or DatabricksFamiliarity with production management tools like JiraSolid knowledge of data modeling conceptsWorking knowledge of Python or another programming languageExperience with data visualization tools such as Power BI is an assetUnderstanding of data transformation processes
, including ETL, is an assetStrong communication and collaboration skills
, with the ability to simplify complex topicsA structured, pragmatic, and persistent approach to problem solving
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