LP
Spanish Data Analyst
LinkedIn Recruiter Post
Spanish Data Analyst contracts until Oct 31 + extension. Top 5 Bank, 1 - 3 days onsite downtown Toronto. Must have SQL, Python/R, cloud experience.
About the role
- Data Analyst leveraging analytics to drive improvements in talent acquisition at Dropbox. Collaborating with leaders to enhance hiring processes with data-driven insights.
Responsibilities
- Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox.
- Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance.
- Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions.
- Answer complex business questions through independent investigation and data forensics, leveraging the data warehouse to deliver timely, high-impact insights.
- Uphold high standards for data quality and consistency by validating data, standardizing definitions and calculations, and contributing to shared data toolkits and enablement materials.
- Contribute to TA reporting and dashboards by building visualizations and partnering with IT and analytics peers to enhance data models and warehouse capabilities.
Requirements
- BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
- 3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, with at least 1 year of experience focusing on Recruiting/Talent Acquisition insights.
- Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts.
- Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations.
- Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact.
- Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python.
- Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous environment.
- Collaborative, humble team player who proactively supports teammates and shared goals.
- Ability to treat employee experience as a product, applying product management and design thinking to understand needs, prototype solutions, and drive execution through strong project management and data-driven iteration.
- Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level & familiarity using AI to enhance productivity are strongly preferred.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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