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Entry level data analyst Jobs in Saint-Lambert, QC

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Entry level data analyst • saint lambert qc

Last updated: 2 days ago

Data Developer

UbisoftMontreal, QC, CA
Full-time

The person in this role works closely with the product team and the data scientist to deliver data and AI solutions that make processes and systems smarter by developing data pipelines aligned with...Show more

Entry-Level Research Assistant (Remote)

FocusGroupPanelMontreal-Ouest, Quebec, Canada
Remote
Full-time +1

Remote Work From Home Data Entry Clerk for Entry Level Position.Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work...Show more

Data & Business Intelligence Analyst (Computer Engineering)

Segula TechnologiesMontreal, Québec, Canada
Full-time

Design, develop, and deploy high value digital tools, business applications, and KPI dashboards.Develop and maintain solutions using the Power Platform (Power Apps, Power Automate, Power BI) follow...Show more

Business Analyst

MaarutMontreal/Quebec, QC, ca
Full-time
Quick Apply

The Business Analyst is responsible for analyzing the context, needs, or business processes of the client within the scope of moderately complex files—projects that may require integration across o...Show more

Data Analyst

ADF Medical Services Inc.Montreal, QC, CA
Full-time +1
Quick Apply

We're looking for a sharp, analytical.If you love working with numbers, spotting trends, and making data meaningful — this role is for you.Analytics & Business Intelligence.Collect, clean, and anal...Show more

Senior Data Analyst

Behaviour InteractiveMontreal, QC
Full-time +1

The role Are you ready to dive into the world of cutting-edge video game development? Headquartered in Montreal, Behaviour Interactive is at the forefront of the gaming industry, crafting unforgett...Show more

Data Entry Specialist (Remote)

SkillerszoneMontreal
Remote
Full-time +1

We are currently seeking a highly detail-oriented and organized Data Entry Specialist to join our growing remote team.This position plays a critical role in maintaining accurate, up-to-date, and re...Show more

Intermediate Technical Data Analyst

Intact Financial CorporationMontréal, Quebec, CAN
Full-time

Pay at Intact is about much more than just salary.Multiple benefits offered to support.Wellness account and much more.Share plan & other savings: up to.Employee Share Purchase Plan (ESPP) – with In...Show more

Data Entry - Typist Part-Time - Work Online - Remote

TapTalent.aiMontreal, Quebec, CA
Remote
Full-time +1

Working in the Data Entry field is a great way to supplement your income.Looking for both full-time, and part-time employees to work from home.Must be able type with accuracy.Computer Skills includ...Show more

Data Analyst

Civil RecruitMontréal, Québec, Canada
Full-time
Quick Apply

Previous experience as a Data Analyst with strong communication and interpersonal skills.Ability to work independently and collaboratively and can propose ideas and concepts.Familiarity with data g...Show more

Data Enablement Analyst

LancesoftMontreal, QC, CA
Full-time
Quick Apply

Job Title: IST Data Enablement Analyst.Department: Fixed Income & Institutional Security Data.Years of Experience: 2-5, though HM prefers someone on the higher end of this range.Job Location: Montr...Show more

Data Engineer

SereneAidBoucherville, Qc
Full-time

Location: Montreal, QC ( 3 days onsite is must).Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.Migrate existing data...Show more

Junior Data Analyst

AmexioLongueuil, QC, CA
Full-time
Quick Apply

We help businesses with their digital growth in the areas of.Customer Communication, and Structured Content Management.Join our dynamic and innovative team! Explore exciting career opportunities no...Show more

Analyst principal des données opérationnelles / Senior Operations Data Analyst

GenetecMontreal, QC, CA
Full-time
Quick Apply

Genetec recherche actuellement un(e) Analyst(e) principal des données opérationnelles pour son service Expérience client (CX).Nous recherchons une personne dynamique et réactive, capable de s'épano...Show more

Principal Data Analyst - Dead by Daylight

Behaviour InteractiveMontreal, QC
Full-time +1

The role Are you ready to dive into the world of cutting-edge video game development? Headquartered in Montreal, Behaviour Interactive is at the forefront of the gaming industry, crafting unforgett...Show more

Data Architect

IT UNLOCK CONSULTING INC.montréal, QC, ca
Full-time

IT Unlock (ITU) is a growing IT services firm specializing in IT staff augmentation and AI-enabled services.We are seeking a Senior Account Manager 360 with a strong recruitment background to take ...Show more

Payroll Data Analyst

SobeysMontréal-Nord, Québ, CA
Full-time

Québec; Alberta; Nova Scotia; Ontario.Montréal-Nord, Mississauga, Alberta, Stellarton.Bureau de Montréal-Nord, Calgary Office, Dartmouth Office, King St.Embark on a rewarding career with Sobeys Inc...Show more

Financial Analyst

ExperTech RecruitingMontreal, Quebec
Full-time

A large international financial services company is looking to hire.This is a full-time position, working in a hybrid environment, with attractive compensation.Possibility to work with teams around...Show more

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Data Developer

Data Developer

UbisoftMontreal, QC, CA
5 days ago
Job type
  • Full-time
Job description

Job Description

The person in this role works closely with the product team and the data scientist to deliver data and AI solutions that make processes and systems smarter by developing data pipelines aligned with the requirements of predictive data models.

They are also responsible for the accessibility and integrity of the required datasets.

Responsibilities

  • Lead the design, implementation, and maintenance of data transport processes required by the data scientist.
  • Perform data transformation operations to feed predictive models.
  • Lead data architecture initiatives to ensure reliable pipelines for both structured and unstructured data.
  • Design scalable data models required for building predictive models.
  • Ensure the transition between the pipeline and the data model.
  • Once predictive models are trained, ensure their integration into applications, systems, and operations.
  • Integrate technologies to develop solutions.
  • Monitor and track data quality (reliability, consistency, integrity) and data flow dynamics.
  • Track performance and report on it to make necessary infrastructure adjustments.
  • Use distributed computing to train models.
  • Contribute to a wide range of projects related to implementing systems, solutions, and both existing and new processes.
  • Perform any other related tasks.

Qualifications

Education

  • University degree in Computer Science, Engineering, or a related field.

Relevant Experience

  • Minimum five years in the industry working with data, coding, scripting, and design.
  • Minimum five years in developing and administering large-scale data systems.
  • Minimum three years in data modeling and administering NoSQL and SQL databases.

Skills

  • Ability to design processes based on data flow concepts and architectures.
  • Ability to extract, transform, and load data to and from systems.
  • Ability to configure, use, and develop data management systems.
  • Ability to develop large, structured software using software engineering methodologies.
  • Ability to use various tools and languages (e.g., Python, SQL, Bash) for system integration.
  • Understanding of Machine Learning.
  • Ability to conduct independent research to solve complex problems.
  • Knowledge of Agile methodologies.

Knowledge

  • Experience with cloud environments (Databricks, Snowflake, AWS).
  • Experience with Iceberg and/or Delta data formats.
  • Experience with COO conceptual models.
  • Experience with Spark, Scala, PySpark.
  • Experience with Flume, NiFi, Kafka, or other data pipeline tools.
  • Experience with REST APIs.
  • Experience with C++, C#, Java, and .NET.
  • Strong knowledge of computer science principles, algorithms, and data structures.
  • Experience with data‑oriented principles and architectures, data flow analysis, and data flow diagrams.
  • Experience in data tuning, cleaning, transport, and integrity.