Integration and Data Analyst

3 weeks ago

Winnipeg, Manitoba, Canada TEEMA Full time
Job Title: Integration and Data AnalystJob ID: AT Location: Winnipeg, MBOverview:Our client is seeking an Integration and Data Analyst to join their amazing team. The Integration and Data Analyst role's responsibility is to plan, coordinate, and supervise all activities related to the integration of data across various sources into an organized and unified view. This individual is also responsible for the monitoring of data flow between databases, servers, and Cloud services to identify and implement the most suitable Data Integration architecture for the organization's needs. Proven communication skills, problem-solving skills, and knowledge of integration best practices are critical to successful performance in this role. What you will be doing:
  • Orchestrate integration projects and corresponding strategies between business areas and the Digital & Data team.
  • Plan, execute, and manage the strategic integration of new data and data stores into existing systems and infrastructure throughout the enterprise, including introduction of Cloud services as applicable.
  • Ensure that integration projects meet business requirements and goals, fulfil end-user requirements, and identify and resolve systems issues.
  • Ensure that integration planning and practices are aligned with strategic business goals and the company's overall strategic vision.
  • Develop standards and processes to support and facilitate integration projects and initiatives.
  • Revise DI architectures when required to be compatible with changing business needs and client standards so that all legal, compliance, and operational requirements, such as data sovereignty, regulatory security and privacy policies, and service level agreements (SLA), are accounted for.
  • Maintain high standards of data quality through the introduction and enforcement of information handling processes and organization of the DI processes.
  • Conduct research on emerging DI products, languages, and standards in support of procurement, development, security, and integration efforts in relation to the Cloud, BI, and big data management.
  • Manage the selection, deployment, and maintenance of any DI tools (as-a-service (DIaaS) or DI On- premise) as deemed appropriate for the organization.
  • Ensure the collection and coherent interpretation of the various business processes affected by integration efforts.
  • Work diligently to enhance or improve business processes via integration, or, as necessary, minimize the impact of integration on those processes.
  • Evaluate results of integration projects, then report and make recommendations based on findings.
  • Frequently compare DI solutions with those available in the market to assess and monitor levels of service provided by current vendors.
  • Where applicable, investigate and qualify potential integration solutions in the Cloud, On-Premise, or in a Hybrid arrangement to better allocate resources.
What you must have:
  • At least 3 years of related work experience in Data Integration at an enterprise level.
  • Four-year college diploma or university degree in computer science or computer engineering.
  • Proven experience in overseeing the linking of cross-functional databases between disparate business units and systems.
  • Experience with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping.
  • Extensive experience with data integration architectures, including hub-and-spoke pattern.
  • Technically fluent in programming languages and ETL tools, including SQL, SSIS, Python, and R.
  • Previous exposure to Cloud DI and management.
  • Strong background in risk management methodologies as they relate to integration and Cloud computing.
  • Direct, hands-on experience with automated DI tools.
  • Knowledge of relational database design and management techniques.
  • Good project management skills and/or substantial exposure to project-based work structures, project lifecycle models, etc.
  • Strong knowledge of system and software quality assurance best practices and methodologies.
  • Knowledge of network protocols and standards.
  • Strong understanding of end-user needs and requirements.
  • Ability to communicate ideas in both technical and user-friendly language.
  • Able to conduct research into application integration issues and products.
  • Highly self-motivated and directed, with keen attention to detail.
  • Able to prioritize and execute tasks in a high-pressure environment.
  • Experience working in a team-oriented, collaborative environment.
  • Knowledge of applicable data privacy practices and laws
  • Ability to quickly attain excellent understanding of the organization's goals and objectives.
For more information about TEEMA and to consider other career opportunities, please visit our website at By applying to TEEMA on any job portal implies you are entering into a business relationship with us and therefore grants TEEMA consent to send you further job updates or industry and company-related information.

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