Company Description

Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.

Role Description

Do you have a passion for people analytics, applied organizational psychology, and bringing actionable insights to HR and Recruiting teams? Dropbox’s People Analytics team is looking for someone to lead research efforts on topics including employee engagement, diversity & inclusion, hiring, retention, employee well-being, and staying connected in a virtual environment. This role will help us harness the power of data to help our People and business leaders make better decisions, predict employee outcomes, and measure the ROI of our initiatives. You bring the ability to balance multiple priorities, deep analytical rigor, and excellent interpersonal skills that can be tailored to cross-functional audiences at every level.

Responsibilities

• Act as a leading authority on People Analytics research methods and will help us set the vision for research focus areas on our people analytics team. 
• Understand People-related challenges, collect data and consult with stakeholders to define solutions, tell a story through data visualizations, and present recommendations
• Partner with internal data warehouse teams to bridge the gap between advanced people analytics projects and data currently available in our data warehouse
• Work closely with our team of dashboard developers to help maintain, iterate, and improve our existing dashboards and reporting capabilities based on user feedback
• Communicate statistical analyses and results to both technical and non-technical audiences
• Build analytics capability in the organization through data literacy trainings focused on root cause analysis, interpreting people data, storytelling with data, and action planning

Requirements

• MA/MS in a related research or data science field (Industrial/Organizational Psychology, Marketing Research, Computer Science, Social Sciences (e.g., Anthropology, Sociology)
• 4+ years of data analytics in HR or Recruiting space.
• 4+ years of experience working with technical and non-technical stakeholders to define the scope of analytics initiatives, translate data to insights, and present findings verbally and in writing
• Comfort with ambiguity and a dynamic business landscape
• Low ego attitude with a willingness to shift from high-level critical thinking to stepping in and helping to drive implementation alongside functional teams
• Knowledge in HR processes

Preferred Qualifications

• 3+ years of experience managing and analyzing structured and unstructured data using SQL, R, and/or Python
• 3+ years of experience in dashboard development and data visualizations, using tools such as Tableau
• 2+ years of experience in AWS/Redshift or other enterprise data warehouses (e.g., Snowflake)
• Experience in statistical modeling tools (e.g., SAS, SPSS)

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).

Benefits and Perks

• Generous company paid individual medical, dental, & vision insurance coverage
  
• 401k + company match
• Market competitive total compensation package
• Free Dropbox space for your friends and family
• Wellness Reimbursement
• Generous vacation policy
• 11 company paid holidays
• Volunteer time off
• Company sponsored tech talks (technology and other relevant professional topics)