Job Description
Description
Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.
Air Canada is looking for a talented Analyst, Data & Analytics (data modeler) to assist with the design and implementation of our databases. The candidate must have solid data modeling experience and must demonstrate an affinity for working with others to create Data Warehouse (DW) solutions.
To ensure success as a data modeler, the candidate must be an excellent communicator, both written and verbal, and have experience working with business areas to translate their business data needs and data questions into project or enhancement requirements. The incumbent must have a solid background in Data Analysis as well as on the job experience as a data modeler. This position provides the opportunity to be involved in new BI and DW solutions, such as Dashboards and Reports, Big Data Solutions and to work with many different business areas within the company. He/she will participate in all phases of the DW development life cycle as well as support the day-to-day operations as it pertains to data modeling improvements and supporting the existing platform.
Responsibilities:
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Develop dimensional models and views needed for data analytics and reporting.
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Perform data model consolidation and integration to integrate new silos of organizations source data to the data platform.
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Build model aggregation layers and specific star schemas as subject areas within a logical and physical model.
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Facilitate and/or participate in agile sessions to assess, capture, and translate complex business issues and requirements into structured data architecture and data modeling use case requirements.
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Hold conceptual and logical data model reviews with product managers/data subject matter experts.
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Evaluate and extract the general principles from specifics and conceptualize and design data model.
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Collaborate with the Data Analyst in the elaboration of the “Source to Target” mapping.
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Develop, enhance, and manage conceptual data models, enterprise logical data models (LDM) and, physical data model (PDM) for the data platform.
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Ensure data lineage mapping across implementations for the platform.
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Analyse and meet referential data integrity requirements based on business needs.
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Develop and/or assist in generating source to target data mapping.
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Evaluate and apply logical entity-relational design concepts.
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Develop and maintain fully defined conceptual, logical and physical dimensional data models to ensure the information models are capable of meeting end user and developer needs.
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Develop data models and data migration strategies utilizing best practice concepts of data modeling including star schema, snowflake schema, Vault etc.
Qualifications
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Bachelor’s degree in computer science, information technology or a similar field.
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Experience building enterprise grade data models cross platforms.
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5+ years of experience using the following modeling techniques: 3rd Normal form, ERD, Dimensional modelling (Star Schema / Snowflake Schema)
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5+ years of experience with data management standards and data model practices.
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Experience with relational modeling, domain modeling, and dimensional modeling as well as accompanying supporting documents.
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Experience in Data Vault 2.0 Modeling.
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Experience with metadata management and its use for modeling activities.
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Experience with creating data model and data structure in Erwin Modeling.
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Thorough knowledge of conceptual and logical data modeling and familiarity with physical database design and optimization concepts.
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Strong knowledge of common standards and best practices for data elements, data types, and file formats.
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Ability to conceive and describe the big picture.
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Solid analytical and strong problem-solving skills
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Proven ability to quickly work with multiple key stakeholders, and ability to focus on cross-group collaboration.
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Data analysis/profiling and reverse engineering of data. Strong knowledge of relational and multi-dimensional database architectures.
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Excellent interpersonal skills
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Strong Communication skills, Oral and Written
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Knowledge of SQL
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Working knowledge of both Waterfall and Agile development methodologies.
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Data quality processing experience in transportation industry, an asset.
Conditions of Employment:
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Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
Linguistic Requirements
Based on equal qualifications, preference will be given to bilingual candidates.
Based on equal qualifications, preference will be given to bilingual candidates.
Diversity and Inclusion
Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.
As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.
Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.
Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.
