Specialist, Data Analytics
Ottawa, ON, CA
Canada Post / Postes Canada
Mail letters, ship parcels, market your business and sell online with Canada Post. We offer services for individuals and services for businesses of all sizes.Job Requisition Id: 180347
Business Function: Business Transformation
Primary City: Ottawa requirement to come to the office a minimum of 2 days a week.
Other Location(s):
Province: Ontario
Employment Type: Full-Time
Employment Status: Term This is a 12 months term opportunity with the possibility of extension or permanency.
Language Requirement: English Essential
Employee Class and Level: CPMGB02
Number of Vacancies 1
Job Closing Date (MM/DD/YYYY): 05/10/2024
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.
• 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
• Experience in large-scale data management, warehousing, and relational databases.
Other Candidate Requirements
• Expert knowledge of SAS and other data query tools (SQL).
• Knowledge of IT processes and infrastructure required to support business intelligence and analytics.
• Min of 2 years experience with Power BI reporting with experience in the creation of paginated reports
Other Information
Safety Sensitive Positions
This position may be considered a Safety Sensitive position.
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.
Our Leadership Behaviours
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.
Business Orientation – A proactive individual who understands the competitive nature of the business, and is committed to sustaining the business through excellent customer service and new business opportunities.
Execution – A focused and self-motivated individual who acts with a sense of urgency and delivers on time and within budget, by dealing effectively with challenges and ambiguous situations.
Leading People – A compelling communicator and leader who engages, motivates and inspires others to achieve results and who encourages personal growth and finding better ways of doing things.
Our Values
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.
Customer – We serve Canadians with pride and passion.
Respect – We treat each other with fairness and respect.
Integrity – We act responsibly and with integrity.
Transformation – We will innovate and transform to win in the marketplace.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Classification Clustering Data Analytics Data management Data Mining Economics Engineering ETL Power BI Predictive modeling RDBMS Research SAS SQL Statistical modeling Statistics
Perks/benefits: Career development Health care Startup environment
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