Manager, HR Analytics Solutions

RBC•Toronto, ON

4d•Hybrid

About The Position

You will design, develop, implement and execute critical data solutions and business analytics including supporting the build of a self-serve AI agent hub that transforms the People Analytics operating model through Snowflake integration, semantic layer governance, and conversational AI enablement.

Requirements

3+ years professional experience
Bachelor's degree
Degree in business, economics, finance, or other quantitative fields (e.g., mathematics, statistics, etc) preferred
Experience with HR data preferred
Experience with Snowflake preferred
Agile Methodology
Business
Business Analytics
Business Requirements
Communication
Data Quality
Datasets
Data Solutions
Data Systems
Design
HR Analytics
Management Reporting
Microsoft Excel
Python (Programming Language)
Reporting Tools
Structured Query Language (SQL)
Tableau (Software)
Technical Requirements
Visualizations

Responsibilities

Anticipate and action on requirements and future work through active listening and balance that with clear, urgent requirements.
Gather business requirements and translate to technical and tactical action items.
Navigate different UI’s for data systems, front end reporting tools, back end reporting tools, etc to extract and join data (i.e. Workday, SAP, Snowflake, etc).
Communicate technical barriers, build and requirements in a digestible manner and pivot how ‘technical’ the explanation is based on who’s in the room.
Support architecting the Self-Serve AI-Assisted agent (semantic layer, data governance, and Cortex AI integration), managing cross-functional coordination to deliver governed analytics at scale.
Manipulate data from multiple sources into visualizations using different tools (including Tableau).
Make calculated, thoughtful assumptions to data where needed to meet timelines and milestones with anticipation of getting clarity after the fact.
Quickly make connections between different data sources conceptually and joins data in a technically efficient way using the appropriate tools (Python / SQL / Excel).
Assess various approaches to building and delivery of a solution with consideration of stakeholders and other parties involved perspectives and user experience.
Develop and deliver proof of concept of a technical solution with speed and influences from the environment, nature and purpose of the project using real, scrambled or mocked up data.
Prioritize projects and milestones by ensuring alignment on what is most important at the moment and knows when to get clarity.
Independently identify and reach out to relevant stakeholders when required for clarity, alignment, engagement, etc to ensure continuous progression of a project.
Clearly set and align milestones and deadlines of deliverables based on the context and criticality of the overall project.
Clearly present technical builds and flow of data from a business and purpose point of view to communicate impact to the overall project.
Perform analysis to pull key insights and findings from datasets or visualizations and use judgement to determine what is pertinent to end users.
Perform quantitative impact analysis of changes to data to identify lateral and downstream impacts to other products and processes.
Identify where and how to dig into data quality issues and raises risks and impact.