Data Analyst, Operations Jobs
By STEMCELL Technologies At Vancouver, British Columbia, Canada
Strong excel skills, familiarity with various formulas (experience with VBA macros or scripting considered assets)
Work with internal business areas to define business data models and reporting requirements
Bachelor’s degree or certificate in a relevant business field, with 3-5 years of experience working in a Data Analyst role
Experience working with Enterprise Resource Planning (ERP) systems such as SAP is an asset
Client-focused mindset with proven experience building strong working relationships with colleagues at all levels of the organization
Perform complex data analysis that requires critical thinking and report development activities
Operations Data Analyst Jobs
By The Ontario SPCA and Humane Society At Greater Toronto Area, Canada
Completion of post-secondary education in statistics or related field of study OR equivalent combination of experience and post-secondary education
Strong computer skills including knowledge of Excel, Word, Access, etc.
Design the conceptual, logical, and physical data models necessary to support the analytic data requirements for Operations reporting needs
Create reports & data visualizations to meet business requirements/specifications, including for senior leadership
Intermediate knowledge of Oracle or Microsoft SQL, and Operations systems (e.g. WMS, ERP or F&R)
Advanced knowledge of Microsoft Power BI (creating dashboards and reports)
Manager, Data Operations Jobs
By Altis Recruitment At Toronto, Ontario, Canada
Bachelor's degree in Computer Science or equivalent degree/experience.
5+ years of experience with Data Warehousing.
Demonstrated experience leading Data Warehousing Development resources/teams.
Demonstrated experience leading all technical aspects of Data Warehousing Solutions.
Online Analytical Processing (OLAP) experience.
Strong troubleshooting and debugging skills with the ability to isolate and resolve problems.
Data & Operations Specialist Jobs
By Purpose Forward At Canada
c.Using planning or project management software, monitor and report on project status and outcomes.
c.Develop training guides and knowledge bases for services we support broadly.
b.Monitor data quality issues and report results, along with continuous improvement strategies.
a.Lead the development of a business process documentation strategy for internal continuity and training purposes.
b.Document and store business process materials in accordance with the strategy.
d.Identify improvement opportunities and work with CEO and other PF staff to implement for clients.
Lead Quality Engineer, Technology & Operations, Data Engineering
By CPP Investments | Investissements RPC At Toronto, Ontario, Canada
Experience with Agile Scrum/Kanban processes, and work management tools: JIRA, Confluence
A flexible/hybrid work environment combining in office collaboration and remote working
A Bachelor’s degree in Computer Science, Engineering, related discipline or equivalent work experience and technical training
5+ years of QE experience in related roles(s)
Minimum 3 years leadership experience leading QA/QE initiatives
Experienced in interacting and coordinating test activities amongst multiple teams and ability to handle multiple competing priorities in a fast-paced environment
Data Operations Engineer Jobs
By Oliwska Grupa Konsultingowa At Toronto, Ontario, Canada
Proficient in SQL Server 2017+ and SQL Server Management Studio
Engage with operations team members to understand requirements about new features
3+ years of experience in a data engineering or data operational role supporting production processes
Experienced working on AWS and familiarity with Postgres and Redshift
Experience in using the CozyRoc suite of components
Excellent verbal and written communication skills
Analyst, Data Operations Jobs
By Loblaw Companies Limited At Toronto, Ontario, Canada
Post-Secondary education in Business or related field, or equivalent related experience
Experience/knowledge with SAP and SQL/Python/R/SAS/Panda/Jupyter is an asset
Store level retail experience is an asset
Must have intermediate to advance Microsoft Office skills
Strong written and oral communication skills are required
Strong analytical and systems thinking skills
Data Operations Engineer (Etl)
By Nasdaq At Canada
Have basic knowledge and experience in at least one scripting language (e.g., Ruby, Python, Perl)
Have some knowledge of financial markets and be interested in economics and finance
Have basic knowledge of Git and SQL
Have strong organizational and communication skills, both verbal and written
Be able to write high-quality, well-documented, high-performance code
Be entrepreneurial and enthusiastic about working in a fast-paced environment

Are you looking for a challenging and rewarding role in data operations? We are looking for an experienced Data Operations Engineer to join our team and help us manage and optimize our data operations. You will be responsible for developing and maintaining data pipelines, ensuring data accuracy and integrity, and providing insights into data trends. If you have a passion for data and a drive to make a difference, this is the job for you!

Overview Data Operations Engineers are responsible for the design, implementation, and maintenance of data systems. They ensure that data is stored, accessed, and managed in a secure and efficient manner. They also develop and maintain data pipelines and data warehouses, as well as monitor and troubleshoot data systems. Detailed Job Description Data Operations Engineers are responsible for the design, implementation, and maintenance of data systems. They develop and maintain data pipelines and data warehouses, as well as monitor and troubleshoot data systems. They ensure that data is stored, accessed, and managed in a secure and efficient manner. They also work with other teams to ensure that data is properly integrated into applications and systems. Job Skill Requirements
• Knowledge of data management principles and best practices
• Proficiency in SQL and NoSQL databases
• Experience with data warehousing and ETL processes
• Knowledge of data security and privacy regulations
• Ability to troubleshoot and debug data systems
• Ability to work with cross-functional teams
• Excellent problem-solving and communication skills
Job Qualifications
• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering or related field
• Experience with cloud-based data systems
• Knowledge of scripting languages such as Python, Java, or JavaScript
• Knowledge of data visualization tools such as Tableau or Power BI
Job Knowledge
• Knowledge of data management principles and best practices
• Proficiency in SQL and NoSQL databases
• Experience with data warehousing and ETL processes
• Knowledge of data security and privacy regulations
• Ability to troubleshoot and debug data systems
• Ability to work with cross-functional teams
Job Experience
• 5+ years of experience in data engineering or related field
• Experience with cloud-based data systems
• Knowledge of scripting languages such as Python, Java, or JavaScript
• Knowledge of data visualization tools such as Tableau or Power BI
Job Responsibilities
• Design, implement, and maintain data systems
• Develop and maintain data pipelines and data warehouses
• Monitor and troubleshoot data systems
• Ensure data is stored, accessed, and managed in a secure and efficient manner
• Work with other teams to ensure data is properly integrated into applications and systems
• Stay up-to-date with industry trends and best practices