Senior Data Analyst, People Analytics
CA - Oakville 3 - Office
Aliaxis
Our innovative pipes and fittings support sustainable management of water and clean energy. See how our tailored local solutions are making a global impact.IPEX is one of the North American leading providers of advanced plastic piping systems. Our mission is to shape a better tomorrow by connecting people with water and energy.
We currently have an exciting opportunity as a Senior Data Analyst, People Analytics. This role is based in our Oakville office in and reports to the Manager, People Analytics.
Do not miss the opportunity to join a diverse group of people-centric professionals, thought leaders and rapid thinkers, entrepreneurs in spirit and status quo-fighters!
Job Summary
The Senior Data Analyst, People Analytics plays a crucial role in collecting, structuring, analyzing, and reporting on HR processes and data. We are currently looking for a Senior Data Analyst, People Analytics to support the Human Resources function as well as the broader organization with data analysis and insights generation to improve talent decision-making and organizational effectiveness. This role involves transforming HR data into actionable insights, analyzing workforce data, developing and maintaining dashboards, and collaborating with various stakeholders to inform strategic initiatives, including employee engagement, turnover prediction, and workforce planning. Key responsibilities include the development of standard reporting, supporting data governance, and responding to ad hoc requests. The Senior Data Analyst will work closely with HR, Operational Leaders, and IT/Data teams to ensure the highest level of accuracy, integrity, and availability.
Principal Responsibilities
Develop and Maintain Reports & Dashboards:
Design and create comprehensive Power BI dashboards, executive presentations, and ad-hoc reports, providing insights on key HR metrics. Ensure the delivery of predictive analytics and actionable recommendations to drive data-driven decisions across the organization.
HR Data Analysis & Insights:
Conduct in-depth analyses of HR data to identify trends, anomalies, and forecasts. Translate complex data insights into recommendations that influence talent management, workforce planning, and strategic decision-making.
Stakeholder Collaboration:
Engage with HR, business leaders, and cross-functional teams to understand their needs and define business requirements. Collaborate on HR projects by providing data collection, analysis, and insights that lead to better outcomes.
Predictive Modelling & Forecasting:
Develop and implement predictive models, such as turnover prediction and workforce planning, to inform organizational initiatives. Continually improve forecasting methodologies and provide proactive recommendations to leadership.
Data Governance & Integrity:
Lead efforts to monitor and improve data quality, ensuring accuracy, consistency, and compliance with privacy regulations. Establish and maintain standards, policies, and processes for data governance, supporting data-driven decision-making.
Continuous Improvement & Best Practices:
Drive the enhancement of HR analytics tools and processes, implementing best practices in data reporting and management. Identify opportunities to optimize reporting structures and promote self-service analytics across the organization.
Training & Capability Building:
Empower internal stakeholders by enabling self-service reporting tools and providing training on dashboards and reports. Build team capabilities through mentorship and by fostering a data-driven culture within the HR and business teams.
Presentation & Storytelling:
Develop and deliver compelling presentations with relevant data, visuals, and storytelling techniques to inform decision-making for HR leadership and senior executives.
Compliance & Legislative Reporting:
Compile, analyse, and submit HR data to meet legislative requirements. Ensure accurate data reporting and compliance with internal and external regulations.
Partnership for System Upgrades:
Collaborate with the HRIS team and other stakeholders on system upgrades, ensuring seamless integration and enhancement of analytics and reporting capabilities.
Qualifications & Experience
Education & Certificates
Bachelor’s degree in data science, Business Analytics, HR Analytics, or related fields.
A master’s degree or professional certifications are a plus.
Technical Skill & Knowledge:
Experience:
Minimum 6 years of experience working with data analysis, reporting, and generating insights in HR, business intelligence, or similar fields.
Proven track record of delivering high-quality reports and dashboards that support business decision-making.
Technical Expertise:
Strong technical skills in data analytics, data mining, cleansing, and statistical analysis, with a deep understanding of relational databases.
Expertise in Power BI, MS Excel, SQL, and statistical modelling. Experience with Workday Reporting is a preferred asset.
Knowledge of statistical methods and experience using statistical packages for analyzing large datasets.
Data Presentation:
Ability to take complex data and present it in a clear, simple, and actionable manner to various stakeholders, including non-technical audiences.
Key Competencies:
Excellent communication and interpersonal skills, with the ability to explain data findings and insights effectively.
Strong business acumen, with the ability to align data analysis with organizational goals and initiatives.
Proven relationship management skills, with the ability to collaborate effectively across cross-functional teams, including HR, Operations, and IT.
Maturity and self-confidence in sharing expertise, fostering a culture of collaboration within the People Analytics team and beyond.
HR Expertise:
Solid understanding of HR processes, metrics, and trends. Ability to analyse HR data and generate insights that inform workforce planning, talent management, and employee engagement.
Data Governance & Quality:
Experience in ensuring data quality and integrity, applying best practices for data governance, and adhering to data privacy regulations.
Preferred Assets:
Experience with Workday, including report generation and data extraction.
Prior experience working in a large, complex organization, handling cross-functional data reporting needs.
IPEX is committed to providing accommodations for people with disabilities throughout the recruitment process and, upon request, will work with qualified job applicants to provide suitable accommodation in a manner that takes into account the applicant’s accessibility needs due to disability. Accommodation requests are available to candidates taking part in all aspects of the selection process for IPEX jobs. To request an accommodation, please contact HR at askhr@ipexna.com
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Business Intelligence Data analysis Data Analytics Data governance Data Mining Data quality Excel Power BI Privacy RDBMS SQL Statistics
Perks/benefits: Career development
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