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Data Analysis Specialist

3 months ago

Montreal, Quebec, Canada Canada Post Full time
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Job Title:
Analyst, Operations Data Integrity (Volume)
Saint-Laurent, QC, CA

Employment Type:
Temporary - New

Employment Type:
Temporary - New
Operations Support

Employment Type:
Temporary - New
Temporary

Language Requirement:
Bilingual Imperative (BBBB)

All qualified candidates will be considered however preference will be given to Indigenous people (First Nations, Metis or Inuit) or persons with a disability.

The Analyst, Operations Data Integrity is accountable for analysis and interpretation of corporate volume data reported by and provided to the mail processing, collection and delivery, and retail operations groups, and to ensure the accuracy, integrity and timeliness of this data.

This job requires a good knowledge of product specifications and rates, mail operations, mail flows, system tools, processes, ability to apply up to date techniques and practices in data collection, analysis, reporting and statistical analysis.

The incumbent is also accountable for the provision of first-line support for data collection and reporting systems within the mail operations groups, including the identification of systems problems, the initiation of appropriate corrective actions, and the provision of technical expertise and coaching to first line operations management.

Below are the main job requirements and responsibilities for the Analyst, Operations Data Integrity (Volume).

Collects, compiles and processes information related to volumes in mail operations activities and for the distribution of performance indicators to clients through appropriate reports.

Ensures that accurate records and documentation are maintained, and that all documents are cross-referenced to ensure data accuracy and integrity.

Provides analysis and interpretation of data, including anomalies, trends and forecasting, and estimates financial and performance impacts of operational decisions.

Ensures that data is reported in a clear and understandable fashion appropriate to it's intended users, and works closely with end users to ensure reports are understood and any questions or concerns are responded to.

Performs audits to verify compliance to processes and standards and takes appropriate corrective action when issues are discovered.

Coordinates activities related to data collection, recording and reporting for the mail processing, collection and delivery, and retail operations groups.

Ensures that all data is verified, and applies knowledge of mail operations to ensure that data and reporting errors are immediately identified and appropriate corrective action is taken.

Verifies performance measurements and operations statistics against standards to identify operational problems and recommend solutions.

Provides feedback, training and support for the Operations community as well as colleagues in the work unit in data systems utilization and proper procedures.

Works closely with management team and employees to increase their comfort and efficiency at providing and interpreting corporate data.

Communicates with internal groups to explain and discuss changes in the methods of collecting, sampling or auditing data and provides expert advice to the management team on options and alternatives to current practice.

Acts as a focal point for communication of HO policies and procedures related to performance indicators, systems and reporting.

Maintains a thorough knowledge of corporate software and systems in order to efficiently generate and maintain various reports, spreadsheets, databases, charts, communications and presentation materials.

Completion of post-secondary (College/University) course(s) in a related field is required.
2-4 years of related work experience is required.

Good knowledge and ability to apply up to date techniques and practices in data collection, analysis, reporting and statistical analysis.

Background in production management reporting/cost accounting/statistical analysis.
Good understanding of MS Excel, MS Access, SAP R3 and SAP BW.
Temporary assignment of 16 months with possibility of extension

Canada Post will represent Canada's diversity and provide a safe and welcoming workplace that embraces and celebrates our differences.

We are committed to employment equity and encourage applications from women, Indigenous People, persons with disabilities and visible minorities.
Disability is defined as a persistent or episodic physical, sensory, or mental health condition and/or functional limitation.

Disability includes both visible and hidden conditions and/or limitations that may impact vision, hearing, mobility, flexibility, dexterity, pain, learning, developmental, mental/psychological, and memory.

The Conflict of Interest Policy prohibits employees from hiring, supervising or reporting to, directly or indirectly via the reporting hierarchy, their immediate family or close personal relations.

Decision Making – A champion of the organization who takes calculated risks and makes prudent, common sense decisions about current issues, future opportunities and resource requirements in a timely, well thought out manner, that aligns with the corporation's best interests.

Accountability – An individual who strives for performance excellence and who holds themselves and direct reports accountable for decisions and actions and for learning from mistakes when intended results are not achieved.

We value diversity as an essential part of who we are as a company, how we operate and how we see our future.

We believe that attracting, developing, and retaining people who reflect the diversity of Canada is essential to our success because this matters to all communities and customers we serve.

Canada Post's corporate values reflect the principles, beliefs and aspirations that guide our behaviour and shape our culture.
Safety – We are committed to a safe and healthy environment for all our stakeholders.
Transformation – We will innovate and transform to win in the marketplace.

Operations Manager, Database, Statistics, Data Analyst, Accounting, Operations, Technology, Data, Finance
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