Dropbox Logo

Dropbox

People Team Data Analyst, Talent Acquisition

Posted An Hour Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
105K-142K Annually
Mid level
Remote
Hiring Remotely in Canada
105K-142K Annually
Mid level
The Data Analyst will analyze hiring data to improve recruitment strategies, inform decisions, and enhance the quality and efficiency of hiring processes.
The summary above was generated by AI
Role Description

At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire.

In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes.

You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions.

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.
Preferred Qualifications
  • Additional technical skills (Tableau, R, Python)
  • Strong executive presence / verbal presentation skills
Compensation
Canada Pay Range
$104,600$141,500 CAD

Top Skills

Excel
Python
R
SQL
Tableau

Dropbox New York, New York, USA Office

New York, NY, United States

Similar Jobs at Dropbox

15 Hours Ago
Remote
Canada
205K-277K Annually
Senior level
205K-277K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead the backend engineering team for billing infrastructure, ensuring reliable subscription management systems and collaborating with cross-functional teams. Focus on modernization and operational excellence.
Top Skills: AWSDatabricksDynamoDBJavaKafkaNoSQLPostgresPythonSparkSQL
15 Hours Ago
Remote
Canada
134K-228K Annually
Mid level
134K-228K Annually
Mid level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As an Infrastructure Engineer, you will build and manage scalable systems, optimize user experiences, and lead cross-functional projects while mentoring junior members.
Top Skills: C/C++GoJavaPython
15 Hours Ago
Remote
Canada
162K-220K Annually
Senior level
162K-220K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Senior Data Scientist, you'll partner with cross-functional teams to drive AI/ML impact, influence product strategy, and execute data-driven analyses and experiments.
Top Skills: PythonSQL

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account