Infrastructure & Capital Projects - Senior Data Analyst, COM

Accenture; Toronto; Hybrid; CAD 85,000 - 110,000; Full time

Job summary

A leading company in technology consulting is seeking a Business System Configuration / Development II to drive advanced data science initiatives. You will support data transformation projects, collaborate with multidisciplinary teams, and contribute to the strategic data management roadmap. Candidates should possess a robust background in data engineering and analytics, alongside the ability to mentor junior team members effectively. If you're driven by a passion for data-centric solutions and thrive in a collaborative environment, we want to hear from you.

Qualifications

• Minimum of 4 years of experience in PMIS Application, Implementation and Configuration.
• Bachelor’s degree in Computer Engineering, Data Science, or related discipline required; Master’s preferred.
• CSM, ITIL V4 certifications, and familiarity with advanced analytics tools are advantageous.

Responsibilities

• Lead and support data transformation projects tailored to client requirements.
• Design and implement scalable data architectures to facilitate advanced analytics.
• Provide mentorship and guidance to junior analysts regarding data science methodologies.

Skills

Power BI

SQL

Python

R

Data Modeling

ETL Processes

Advanced Visualization

Education

Bachelor’s degree in Computer Engineering

Master’s degree preferred

Tools

Microsoft SQL Server

Power BI

Azure

GCP

Job description

• (Internal Title: Business System Configuration / Development II)
  • Data Science and Strategic Support
    • Assist the Data Science Manager in achieving departmental objectives and aligning data-driven initiatives with organizational strategic goals
    • Lead and support data transformation projects, encompassing data engineering, advanced data integration, and development of sophisticated reporting applications tailored to client requirements
    • Design and execute comprehensive strategic roadmaps for data management, mobilization, and governance, supporting advanced analytics initiatives and data science experiments
    • Collaborate directly with data scientists to provide robust analytical frameworks, preprocessing data, and facilitating exploratory data analysis (EDA)
    • Provide mentorship, technical guidance, and strategic insights to junior analysts and team members, particularly regarding statistical analysis and data science methodologies
  • Collaboration and Teamwork
    • Foster robust collaborative relationships with multidisciplinary teams, ensuring clear communication and alignment on complex, data-intensive projects
    • Champion team capability enhancement through structured training sessions, knowledge-sharing workshops, and continuous improvement initiatives focused on advanced analytics and data science tools
    • Actively engage in cross-departmental forums to advocate for advanced analytics practices, data literacy, and the integration of complex analytical findings into business strategies
  • Data Architecture and Management
    • Design, implement, and maintain highly scalable and flexible data architectures to accommodate evolving business needs, operational excellence, and support advanced analytical techniques
    • Lead the creation and ongoing management of comprehensive data dictionaries, catalogs, and lineage documentation to facilitate clear data understanding, supporting complex analytical processes
    • Drive initiatives to systematically address data debt, optimize data pipelines, structures, and ensure robust data quality management and governance standards, crucial for advanced analytics reliability
  • Analytics and Insights
    • Apply advanced data modeling, statistical analysis, and machine learning techniques to construct and refine data structures optimized for high-performance analysis and predictive modeling
    • Conduct complex data analyses and support data science experiments, delivering actionable insights and predictive models to inform strategic business decisions and operational efficiencies
    • Collaborate with stakeholders and data science teams to gather requirements, translate complex data needs into coherent technical specifications, and deliver actionable analytical solutions
  • Reporting and Analytics Enablement
    • Develop and oversee sophisticated reporting and advanced analytics strategies, leveraging data engineering tools, automated pipelines, predictive analytics, and modern visualization frameworks to enhance reporting efficiency, accuracy, and insightfulness
    • Establish and maintain self-service analytics ecosystems that enable stakeholders to perform complex analyses independently, including predictive modeling and exploratory data analysis
    • Regularly review and optimize reporting and analytics frameworks to align with emerging business needs, analytical advancements, and technological innovations
• Working Conditions:
  • Hybrid

• Experience:
  • Minimum of 4 years of experience in PMIS Application, Implementation and Configuration
• Education:
  • Bachelor’s degree in Computer Engineering, Data Science, or related discipline; Master’s degree preferred
  • CSM, ITIL V4, and certifications in tools like Microsoft SQL Server, Power BI, Microsoft Fabric, Azure, or GCP
• Skills and Competencies:
  • Power BI, and SQL, including data modeling, advanced visualization techniques, and dashboard/report development
  • ETL processes, data governance frameworks, data quality management, and data integrity protocols
  • Advanced analytical tools including Excel, Power Query, DAX, Python, R, and statistical software for comprehensive data analysis and predictive modeling
  • Microsoft Fabric, Power Platform (Power Apps, Power Automate, Power Virtual Agents), Data Marts, Azure Data Factory, Databricks, and other Azure cloud data solutions
  • Proven experience in the capital projects domain is advantageous, demonstrating the ability to understand and apply domain-specific data analytics effectively
  • Exceptional problem-solving, critical-thinking, and analytical abilities, with a strong results-oriented approach
  • Experience with project control tools, analytics frameworks, and dashboarding/reporting software, enabling precise performance tracking and project insights is a plus
  • Expertise in Microsoft Office Suite (Power BI, Word, Excel, PowerPoint, Visio), including advanced functionalities such as macros and scripting
  • Familiarity and proficiency with Microsoft SharePoint, Primavera P6, SQL databases, and Earned Value Management software is a plus
  • Demonstrated capability to adapt quickly to new technologies and software applications relevant to data analysis and business intelligence