Ai Engineer Jobs

About The Position

Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related field.
• At least 5 years of related professional experience in data engineering, analysis, business intelligence, and dashboard development.
• Ability to design, implement, and maintain dashboards and reports in Microsoft Power BI and Excel.
• Proficiency in SQL and Power BI, with advanced Excel skills.
• Ability to derive accurate, clear, and meaningful insights from large and complex datasets.
• Research skills, an inquisitive approach, and natural curiosity.
• Professional communication, networking, collaboration, and interpersonal skills.
• Ability to influence with or without authority.
• Strong multitasking and time-management skills.

Nice To Haves

• Experience in the construction industry, technology applications in construction, and digital transformation.
• Developing knowledge of emerging technologies, software, and systems that create efficiencies in the construction industry.
• Knowledge of Python, R, JavaScript, SSRS, or SSAS.

Responsibilities

• Collaborate with management to develop dashboards and data models tracking KPIs such as project performance, win rate, and forecast pipeline.
• Develop and maintain business intelligence dashboards, data models, and analytical tools.
• Establish ETL processes to collect, clean, and transform data across different systems and structures.
• Build analytical tools that support a data-driven culture and assist with the development of the company’s data strategy.
• Perform advanced data analysis, including scenario analysis, predictive modeling, and machine learning.
• Analyze data and create data and business insights to advance the business.
• Empower teams across the company to make data-driven decisions.
• Identify gaps in data and business processes and collaborate with business process owners to improve data quality and integrity.
• Maintain working relationships with internal teams, including Preconstruction, Project Controls, IT, and Finance.
• Support the development of scopes and budgets for data-focused projects and tasks.
• Engage directly with clients to document and translate business requirements into project tasks, milestones, and deliverables.
• Work with stakeholders to structure problems into analytics deliverables.

Benefits

• Comprehensive compensation package and paid time off program.
• Industry-leading 401(k)/RRSP.
• Medical/Extended Health Care, Dental, Vision and/or Provincial Medical.
• Wellness benefits and Employee Assistance Program.
• Tuition Reimbursement Program.