Specialist, Data Analytics

Job Requisition Id: 178731 
Business Function: Business Transformation 
Primary City: Ottawa 
Other Location(s):Where the successful candidate resides 
Province: Ontario 
Employment Type: Full-Time 
Employment Status: Term opportunity to December 31, 2024 with the possibility of extension  
Language Requirement: English Essential 
Employee Class and Level: CPMGB02 
Number of Vacancies 1 
Job Closing Date (MM/DD/YYYY): 04/02/2024 

All qualified candidates will be considered however preference will be given to Indigenous people (First Nations, Metis or Inuit) or persons with a disability. This is a special measure employment equity initiative and candidates from this group who wish to qualify for preferential consideration must self-identify.

Job Description

The Specialist, Data Analytics is responsible for the delivery of leading-edge analytical solutions. This key role will work closely with the Marketing team to understand the data needs of different customer segments and craft solutions to support information-based decisions. Leveraging knowledge in Business Intelligence (BI), analytics, and statistical modeling, the Specialist, Data Analytics will create prototypes of new reporting, produce in-depth analysis for key business issues, build predictive models to improve processes based on business requirements and ultimately help to demonstrate the impact of Marketing investments against Business priorities.

Job Responsibilities

Below are the main job requirements and responsibilities for the Specialist, Data Analytics.
• Leverages data query tools as required to pull data from multiple sources and amalgamate into new data sets for analytical and modeling purposes based on the business requirements.
• Analyzes and creates customer use cases and is able to translate them to analytical data applications and models with a vision to implementing a solution.
• Develops reports for clients including summaries of use cases, results, gaps, recommendations and documentation of how to best use the provided solutions.
• Evaluates key performance metrics and evaluate trends.
• Develops analytical models for data generated by a variety of applications and products. Builds analytics applications and visualizations.

Job Responsibilities (continued)

• Performs data mining tasks, such as classification, regression, clustering, recommendations and text analysis.
• Conducts high level reviews to identify client needs, problems and opportunities alongside with other business functions to determine if a possible solution can be developed. Continuously identify opportunities and solutions to better meet business needs.
• Effectively communicates the business and technical benefits of the analytic solution to both business and technical audiences.
• Develops and implements various types of predictive models, segmentation strategies, contact management strategies, multi-channel offer strategy, data mining analyses, and performs research and development regarding new innovative analytic techniques to drive top line and bottom-line growth.
• Create and maintain the BI documentation for all processes, including related data dictionaries, design, logic, flowchart, and user manual.

Qualifications

Education

• University degree in a quantitative discipline (/Statistics/Data Science, Economics, Engineering)

Experience

• 3 years’ experience in advance analytics (a combination of education and work 
experience preferred). 
• Significant experience working with methodologies such as predictive modeling, 
profiling, segmentation forecasting, marketing attribution and data mining.
• Demonstrated analytical experience in a marketing, operations or digital 
environment.
• Experience developing ETL processes, data marts and business intelligence 
solutions.
• Proficient at multiple coding languages such as Python, SQL, R.
• Experience with the following tools: PowerBI (or other reporting tools eg. Tableau or 
QlikView), DAX, SAP.
• Experience in large-scale data management, warehousing, and relational databases.

Other Candidate Requirements

• Experience with Azure/AWS cloud environments
• Experience with machine learning (random forest, time series, etc.)

Other Information

Safety Sensitive Positions
This position may be considered a Safety Sensitive position and has additional requirements under Canada Post’s Substance Use Policy. 

Employment Equity

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.
 

Conflict of Interest
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. Should you feel that you may be in an actual or potential Conflict of Interest in regard to this job opportunity, you must communicate with the designated Human Resources representative.

Accommodation

Canada Post is committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you are contacted by Canada Post regarding a job opportunity, please advise if you have any restrictions that need to be accommodated.  All information received in relation to accommodation will be kept confidential.

Important Message
Your application must clearly demonstrate how you meet the requirements as Canada Post cannot make assumptions about your education and experience. We thank all those who apply. Only those selected for further consideration will be contacted.

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