Data Analyst at Xapo Bank enabling analytics for financial decision - making and developing data products. Collaborating with teams to support financial operations and overall data strategy.
About the role
- Procurement Data Analyst supporting the development and continuous improvement of procurement data and reporting. Collaborating on data analysis and solution development at PCL Constructors Inc.
Responsibilities
- Translates business needs into data-driven solutions, including designing and developing dashboards, reports, and low-code business applications to support procurement operations
- Contributes to the development and evolution of procurement data architecture, including supporting the design and implementation of data models and data pipelines within Microsoft Fabric
- Takes ownership of end-to-end solutions, from requirements gathering through development, testing, deployment, and continuous improvement
- Utilizes computer models, process analysis, and business analytics to interpret data to make business decisions and efficiently answer complicated business problems
- Identifies and respond to customer needs and challenges by developing customer focused solutions
- Gathers, validates and documents business requirements
- Coordinates solution walk-throughs and sign-offs, verifying with stakeholders that requirements have been met
- Supports and participates in district and corporate cross-functional project teams
- Documents and maintains streamlined business practices in the form of business guides, work instruction and business processes documents
- Executes change management plans to drive acceptance, adoption, minimize resistance, and maximize engagement and efficiencies
- Assists with training and roll-outs as required
Requirements
- Minimum of three years of experience in data analysis, business analysis, or a related role, with experience designing, developing, and supporting data-driven solutions; experience in procurement or the construction industry is considered an asset
- Postsecondary degree or diploma in a program related to computing science, information management, statistics, or a business program with a focus on data analytics or operations research
- Experience with data visualization tools such as Power BI
- Experience with relational databases and SQL is preferred
- Experience with programming languages such as Python and R is preferred
- Experience with Microsoft Fabric considered an asset
- Experience with Power Apps and Power Automate considered an asset
- Construction knowledge and/or experience is considered an asset
- Proficient in Microsoft Office
- Excellent time management skills and can prioritize and communicate to ensure deadlines are met
- Comfortable working independently with aggressive project schedules
- Comfortable working in a high accountability culture
- Strong interpersonal, communication and presentation skills
- A positive attitude with a passion and commitment to both a project and a teams success
- Able to develop creative solutions to meet customer needs for company-wide processes and software
- Ability to work effectively within a team environment, is flexible, has strong listening skills and communicates well
- Develop and maintain strong working relationships with district procurement teams and other corporate departments
Benefits
- Employee ownership opportunities that build long-term value
- Annual discretionary performance bonuses
- RRSP, TFSA, Pension Contribution Options
- Flexible medical, dental and vision benefits
- Prescription drug coverage and virtual care services
- Life, AD&D and disability insurance
- Paid parental leave and family care support
- Health and lifestyle spending account options
- Mental health and wellness support, including Employee Assistance Programs
- Career growth pathways, leadership development and mentorship programs
- Access to world-class training through PCL's College of Construction and professional development courses
- Ongoing opportunities to learn new skills, explore different roles and grow your career across sectors and regions
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