Senior Data Analyst

Accenture; Toronto; Hybrid; CAD 125,000 - 150,000; Full time

Job summary

A leading consulting firm is seeking a Senior Data Analyst to enhance data-driven initiatives and support strategic goals. This role involves leading data transformation projects, developing sophisticated reporting applications, and providing mentorship. Candidates should possess expertise in Power BI, SQL, and data analysis, along with a Bachelor's or Master's degree in relevant fields. A collaborative approach and a commitment to advancing analytics practices are key for this position.

Benefits

Competitive compensation package

Comprehensive employee benefits

Qualifications

• Minimum of 4 years of experience in PMIS Application, Implementation and Configuration.
• Experience in data modeling, advanced visualization techniques, and dashboard/report development.

Responsibilities

• Assist in achieving departmental objectives and aligning data-driven initiatives.
• Lead data transformation projects and provide mentorship to junior analysts.
• Design and maintain scalable data architectures for advanced analytics.

Skills

Power BI

SQL

Python

Data Analysis

ETL Processes

Education

Bachelor's degree in Computer Engineering, Data Science

Master's degree preferred

Tools

Microsoft SQL Server

Azure Data Factory

Databricks

Job description

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Talent Acquisition Specialist | Driving Growth in Infrastructure & Capital Projects

Accenture Infrastructure & Capital Projects, is a multidisciplinary consulting firm providing integrated consulting solutions on complex capital projects, including Program and Project Management, Project Controls, Engineering, Technical Advisory, Construction Management, and Technology Integration Services. Our team thrives on embracing and navigating technical challenges within the Transportation and Infrastructure, Industrial and Manufacturing, Energy and Utilities, and Buildings and Facilities markets. Our core focus is supporting project owners through collaborative and integrated partnerships to deliver projects that improve the world around us.

THE WORK:

(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

HERE’S WHAT YOU’LL NEED:

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

Accenture Infrastructure & Capital Projects, is committed to providing accessible employment practices that comply with local legislative requirements. If you require accommodation during any stage of the recruitment process, please notify the People and Culture Team by emailing – [e-mail]

Accenture Infrastructure & Capital Projects offers our employees a competitive compensation package with comprehensive employee benefits, and an inclusive environment that fosters teamwork & entrepreneurial spirit. Accenture Infrastructure & Capital Projects is an equal opportunity employer.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Project Management, Consulting, and Information Technology

• Industries

  Business Consulting and Services, Data Infrastructure and Analytics, and IT System Data Services

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