HR Data Lake Business Analyst - Montreal, QC (Hybrid)

Role Name: HR Data Lake Business Analyst

Location: Montreal, QC (Hybrid)

Job Description:

Interested in leveraging technology to solve complex business problems, support workforce strategy development, and predict talent risks and opportunities? So are we. Clients HR Data Products team is looking for innovative Business Analyst (like you) to transform our Data and Analytics ecosystem and enable real-time, data-driven decision-making across our global business units.

We offer:

• An endless amount of interesting, complex business challenges
• A chance to influence a talent agenda that impacts over 80K employees
• A collegial atmosphere to deliver innovative solutions supported by a world-class team
• An opportunity to drive true, global business change

You will:

• Engage with HR Analytics stakeholders to understand challenges, rapidly mockup datasets for self-service consumption via BI tools such as Tableau, Power BI in an Agile fashion
• Work with HR stakeholders in capturing and distilling the requirements as they relate to both the user vision specific to business needs and technical implementation requirements.
• Work with Data engineering team to model secure, persona-based datasets
• Clearly communicate design and development strategies to all stakeholders
• Have ownership over sprint stories, and will be relied on to navigate stakeholders and ask tough questions to develop solutions
• Manage user testing including the production and execution of test plans and scripts, defect logging and resolution management.
• Identify key risks, troubleshoot issues bringing them to a resolution and make necessary improvements
• Identify and recommend appropriate end to end strategic solutions ensuring development is within scope and addresses the business needs

You have:

• Minimum 5 years of relevant experience with bachelors degree
• Strength in data modelling, wrangling and visualization (Tableau or BI equivalent PowerBI, Qlik etc)
• Strong understanding of SQL databases and ETL technologies
• Familiar with technologies relevant to data lakes such as Snowflake
• Strong understanding of security models and concepts such as row-level security
• Strong experience with MS Excel (proficient in the use of functions, pivot tables) and PowerPoint
• Experience with Workday recruiting (strongly preferred)
• Critical thinking mindset: high attention to detail, even in high-pressure, fast-paced sprints
• A collaborative nature and team-orientation
• Deft navigation of data challenges: procurement, cleaning, transforming, and ingesting
• A confident communicator (strong written and verbal English); a self-starter