Sr. Data Analyst Job Details | Aecon

What is the Opportunity?

This role operates at the enterprise level, producing crosssector analytics and establishing shared analytical data models in partnership with IS and Data Engineering. The Senior Data Analyst enables consistent, trusted decisionmaking across the organization by ensuring enterprise analytics are welldefined, governed, and reusable across business sectors.

In addition to handson analytical delivery, this role coaches and supervises Data Analysts and works closely with the Manager, Data Governance to align analytics with enterprise data standards, governance practices, and accountability for data ownership and definitions.

What You'll Do Here:

• Produce enterprise analytics (dashboards and descriptive and predictive) that span multiple business sectors to support executive, operational, and crossfunctional decisionmaking.
• Identify crosssector trends, risks, and opportunities that are not visible within siloed reporting.
• Translate complex, ambiguous business questions into structured analytical approaches and clear recommendations.
• Partner with IS / Data Engineering to define, design, and maintain shared analytical data models that serve as trusted sources of truth.
• Enable sectorlevel analytics teams by providing governed, welldocumented data models and metric definitions.
• Reduce duplication, manual reconciliation, and inconsistent interpretations of enterprise metrics.
• Act as a senior analytics partner to leaders across business sectors, Finance, Operations, and Corporate functions.
• Present insights and recommendations clearly to both technical and nontechnical audiences, including senior leadership.
• Influence priorities and decisions by grounding discussions in trusted data and evidence.
• Work closely with the Manager, Data Governance to ensure analytics align with enterprise data standards, policies, and governance objectives.
• Support the implementation of consistent KPI definitions, data ownership, and accountability across reporting assets.
• Contribute to governance processes related to metric definitions, data quality, and change management.
• Design and maintain highimpact dashboards and reports using tools such as Power BI, Tableau, Looker, or equivalent.
• Ensure reporting is aligned to approved business definitions and supports both enterprise and sectorlevel needs.
• Promote scalable, selfservice analytics while maintaining enterprise consistency.
• Coach, mentor, and provide daytoday guidance to Data Analysts.
• Review analytical work to ensure quality, consistency, and alignment with enterprise standards.
• Support skill development in SQL, data modeling, documentation, and data storytelling.
• Conduct deeper analytical work including trend analysis, cohort analysis, forecasting, and performance measurement.
• Apply statistical and analytical techniques to support decisionmaking, not just descriptive reporting.

What You Bring to the Team:

• 7+ years of experience in data analytics, business intelligence, or a related analytical role.

• Advanced proficiency in SQL, including complex queries and analytical data modeling.
• Experience with modern BI and visualization tools (Power BI, Tableau, Looker, or similar).
• Strong understanding of KPI design, metric standardization, and analytical best practices.
• Proven ability to communicate insights clearly and influence decisions.
• Experience working crossfunctionally with business, analytics, and technical teams.

Nice to Have:

• Experience with Python or R for analytical workflows.
• Exposure to cloud data platforms (e.g., Snowflake, BigQuery).
• Experience operating in an enterprise or multisector environment.
• Familiarity with data governance concepts, operating models, or data ownership frameworks.
• Prior experience mentoring or supervising analysts.

Reason for Vacancy: Replacement

The expected pay range for this role is: $85,000 - $95,000 per year

Individual pay is determined based on several factors, including work location, education, experience, unique skills and job conditions. Other considerations may include certifications, specialized training, and the complexity or scope of the role.

Aecon fosters belonging within and across our organization. We consider all applicants for positions without regard to race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law.

We are committed to adhering to the objectives and requirements outlined in the Accessible Canada Act (ACA), and to meeting the accessibility needs of persons with disabilities in a timely manner. Through the implementation of the requirements of the ACA and its applicable regulations, appropriate accommodations will be provided upon request throughout the interview and hiring process.

As part of our commitment to fair and transparent hiring practices, Aecon may use artificial intelligence (AI) tools to assist in screening and reviewing candidates. These tools are applied responsibly and in accordance with applicable privacy laws and Aecons AI Usage Policy. All final decisions are made by qualified Aecon team members.