The Data Analyst Service provider is an active participant in an Agile team and all phases of the product lifecycle and will work with the squad, various technology stakeholders, and internal customers to identify and maximize opportunities to leverage information and technology capabilities to enable business use cases. The Data Analyst assesses processes and information streams and is proficient in the utilization of the appropriate tools, models, and techniques as part of delivering capabilities.
This position requires digital competencies, an ability to learn new solutions rapidly, the agility to respond to constant change, strong IT knowledge, as well as excellent communications and analytical skills. It also necessitates strong collaborative and relationship management skills given the high level of interaction
Responsibilities
- Reviewing and recommending conceptual, logical, and physical data models to determine compatibility and fit with architectural principles and optimal solution design.
- Understanding system data elements and existing data structures, as well as data lineage connecting source to target.
- Understand client requirements and convert the ask into technical terms/user stories.
- Support the implementation of reference and master data management program within future state data platform.
- Work with Agile team and Data Architects to help and come up with the solution approach.
- Help estimating implementation effort based on the requirements.
- Researching and documenting data platform and outputs: source to target mapping, business rules applied to data transformation, data cataloging, data lineage.
- Collecting, documenting, and analyzing information management requirements.
- Collecting, organizing, analyzing, and disseminating significant amounts of information with attention to detail and accuracy.
- Deconstruct complex technical solutions and explain them to a non-technical audience in simple and clear terms.
- Present complex or conflicting situations/issues to stakeholders. Uses persuasion, influence, negotiation, and conflict resolution skills
- Utilize broad knowledge of business processes, applications, products, business strategy and internal and external customer needs to contribute to the optimum business solution
- Lead informative well-organized presentations and facilitate sessions to review data requirements and identify gaps; ability to bring others to agreement around a set of ideas to achieve the goal or bring about beneficial resolution
- Deliver clear, complete, and usable documentation, that is right sized for the product, and that the client and/or product owner can validate to support the sign-off process; and is serviceable for the technical project members to deliver the solution
- Support/coach junior BAs as required
- Participate in all sprint-based activities (Sprint Review, Retrospectives, backlog refinements) as required
Requirements
- Understanding system data elements and existing data structures, as well as data lineage connecting source to target.
- Understand client requirements and convert the ask into technical terms/user stories.
- Collecting, documenting, and analyzing information management requirements.
- Well-rounded experience in the whole data lifecycle management and hands-on experience in the following data management domains: dimensional and relational data modeling, data quality, SQL programming, metadata management and master data management and business intelligence
- Experience with reverse engineering the source to target mapping to gain data insights
- 7+ years as a dedicated Data Analyst or Data Modeler
- Excellent oral and written communication skills. Ability to communicate with both business and technical audiences. Strong listening skills.
Assets:
- Experience with Azure Data Platform technologies or other public cloud offerings
- Experience with IBM: Data Manager, InfoSphere DataStage
- Knowledge of Spark SQL
- Programming experience: SQL, R, Python
- Experience with Power BI report development
- Understanding of Denodo platform
- Data domain knowledge within Company/Customermsubject areas
- Excellent verbal and written communication, critical thinking, time management, priority planning and interpersonal skills.
- Strong relationship management skills, including facilitating group sessions and displaying leadership within a project team
- Strong problem-solving skills
- Experienced in an agile environment. Can pivot to support changing business priorities
- Bilingual in both official languages (French and English)
Job Type: Full-time
Schedule:
Experience:
- Data analytics: 7 years (preferred)
- Data modeling: 7 years (preferred)
- Spark SQL: 7 years (preferred)
- DataStage: 7 years (preferred)
Language:
Licence/Certification:
- security reliability clearance (preferred)
Work Location: In person
