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Brother Industries

Manufactures printers, sewing machines, & industrial equipment

Data Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeDollard-Des Ormeaux, QC, CanadaNo salary listed

About the Job

Requirements

  • A Bachelor's degree specializing in Business Administration, Economics, Computer Science, Analytics, Computer Engineering, Information Systems, Applied Mathematics or Statistics, or a related field.
  • Proficiency in written and verbal French and English communication; written and verbal English proficiency is essential for correspondence beyond Quebec.
  • One to three years of experience in analytics roles.
  • Practical experience with statistics and research methods, both quantitative and qualitative.
  • Experience understanding departmental needs and building effective partnerships while collaborating with technical and non-technical cross-functional business teams.
  • Ability to analyze large data sets from multiple sources using efficient database tools and methods.
  • Advanced proficiency with Python and SQL.
  • Knowledge of Python machine-learning libraries such as scikit-learn and TensorFlow.
  • Experience with big data tools such as Apache Spark, Pandas and Polars.
  • Advanced working knowledge of relational SQL and NoSQL databases, such as MySQL, and formulating and manipulating complex queries.
  • Detail-oriented, self-motivated and time-efficient; able to adapt quickly to change and work in high-pressure, time-constrained situations.

Responsibilities

  • Understand and capture stakeholders' business needs to analyze and track activity performance.
  • Gather requirements and prepare formal requirements documents.
  • Develop statements of work to secure stakeholder agreement on analysis methods, timelines, roles, responsibilities and deliverable formats.
  • Develop new reports and enhance and maintain reports and dashboards in Tableau.
  • Generate valid and reliable insights by designing analysis methodologies and executing repeatable analysis projects that produce statistically significant results.
  • Address ad-hoc reporting and analysis requests.
  • Communicate execution progress through written status updates.
  • Build processes to manipulate, transform and extract insights from datasets across multiple data sources using Python and Pandas.
  • Troubleshoot technical challenges, perform root-cause analysis and recommend scalable solutions.
  • Formulate, maintain and enhance ETL pipelines.
  • Migrate databases from local servers into cloud data warehouses using AWS and Azure Databricks.
  • Transform, refactor and deploy ETL and machine-learning models to production in virtual or cloud-based systems using AWS and Azure Databricks.
  • Assemble large datasets from various sources for prescriptive and predictive analytics.
  • Flag data-integrity issues and execute quality-assurance procedures.
  • Meet stakeholders to gather business requirements, translate them into technical requirements, execute development deliverables, test functionality, address ad-hoc requests, perform data-related standard operating procedures and manage stakeholder expectations.
  • Build, maintain and enhance reports and dashboards for business intelligence.
  • Identify, plan and execute continuous-improvement initiatives to enhance customer experience.

Desired Qualifications

  • A Master's degree, such as an MBA, MSc or MMA.
  • Knowledge of cloud-based systems such as AWS and development tools such as Git, Bash and YAML.
  • Knowledge of Tableau.

About the Company

Brother Industries

Manufactures printers, sewing machines, & industrial equipment

Brother Industries makes a wide range of hardware products, including printers and label printers, sewing machines, industrial equipment, and on-demand karaoke systems. Its products are built as physical devices that users operate to accomplish tasks such as printing, sewing, or entertainment, often supported by regional service, sales, and manufacturing networks. The company differentiates itself through its global footprint—having manufacturing, sales, and servicing facilities in more than 40 countries—and its long-standing international presence since establishing a U.S. sales company in 1954. It aims to tailor its operations to the needs of different regions while delivering reliable devices and support worldwide, and it also maintains a formal approach to social media, customer communication, and intellectual property practices.

Company size
Not listed
Company stage
IPO
Headquarters
Bridgewater Township, New Jersey
Founded
Not listed

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