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Intern, People Analytics
Intern, People Analytics-November 2024
Atlanta
Nov 23, 2024
ABOUT OPENDOOR
Opendoor is on a mission to empower everyone with the freedom to move by building a simple, certain and fast home buying and selling experience.
1,001 - 5,000 employees
Real Estate & Construction, Technology
VIEW COMPANY PROFILE >>
About Intern, People Analytics

  About Opendoor

  Founded in 2014, Opendoor's mission is to empower everyone with the freedom to move. We believe the traditional real estate process is broken and our goal is simple: build a digital, end-to-end customer experience that makes buying and selling a home simple, certain and fast. We have assembled a dedicated team with diverse backgrounds to support more than 100,000 homes bought and sold with us and the customers who have selected Opendoor as a trusted partner in handling one of their largest financial transactions. But the work is far from over as we continue to grow in new markets. Transforming the real estate industry takes tenacity and dedication. It takes problem solvers and builders. It takes a tight knit community of teammates doing the best work of their lives, pushing one another to transform a complicated process into a simple one. So where do you fit in? Whether you're passionate about real estate, people, numbers, words, code, or strategy -- we have a place for you. Real estate is broken. Come help us fix it.

  About the Team

  Interning within the People Team in summer 2024, you will have the opportunity to positively impact the culture of a leading real estate disruptor that is expanding our marketings across the country and scaling quickly. This role will support projects aimed at enhancing data reporting and analytics needed by our managers and People teams to make informed business decisions. Our teams are constantly iterating, solving problems, and working together to revolutionize the way people buy and sell their homes. In this role you will gain an understanding and appreciation for People Analytics (reporting and predictive analytics and build experience in the People Team space through leading projects, with cross functional collaboration.

  Role Responsibilities:

  Partner with business leaders and HR functional groups to develop a standard set of key performance indicators for the People TeamSupport the build of robust data models and analysis related to comp planning, performance evaluation, recruiting efficiency and other people projectsResearch benchmarking data and best practices to guide better decisions on our teamTell the People team story using data visualization (e.g., tables, charts, graphs) to represent analyses to an executive audienceContribute to and deliver on HR initiatives and projects

  Skills Needed:

  First year MBA student with a concentration in Data Analytics, Data Science or related fieldAble to handle confidential informationAdvanced G-suite capabilities Highly motivated and takes initiativeStrong time and project management skills, with the ability to meet deadlines and prioritize tasksExtremely detail-oriented and organizedAbility to work in an empowered autonomous way and to establish relationshipsStrong written and verbal communication skills

  Bonus Points if:

  Advance knowledge of general analytical tools such as, Excel or Google SheetsHave had experience in working on case studies that required in depth analysis

  Location:

  Hybrid - Hybrid roles require role responsibilities to be performed in the office for a portion of the week, with an option to work remotely. Candidates must be based within a 50-mile commuting distance of the specified office location.

  Compensation:

  Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $29 - $38 hourly. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific hourly range for the job location during the hiring process.

  #LI-AW2

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