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Senior People Analyst

extra holidays - fully flexible
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years in a People Analyst role, Experience with SQL and Python or R, Degree in Psychology, Economics, Math or Statistics, Advanced degree preferred.

Key responsabilities:

  • Analyze and guide Human Resource programs
  • Lead various People Analytics projects
EquipmentShare logo
EquipmentShare Large https://equipmentshare.com/
1001 - 5000 Employees
See more EquipmentShare offers

Job description

EquipmentShare is Hiring a Senior People Analyst

EquipmentShare is searching for a Senior People Analyst to support our team as the department continues to grow.  

EquipmentShare is seeking a Senior People Analyst to serve as the point person for specific Human Resource areas. Partners with stakeholders to analyze and guide Human Resources programs. Mentors and trains more junior employees.

Primary Responsibilities
  • Translate people needs and data into action: create relationships with individuals across the organization, identify quick wins, choose the appropriate statistical test and partner to implement your findings. 
  • Execute against the vision for People Analytics: Support the development of the People Analytics roadmap and execute against the projects that are prioritized. Current projects cover topics in Talent Acquisition, Compensation, Workforce Planning and Employee Listening. 
  • Get your hands dirty leading a variety of People Analytics projects, which will involve wrangling data to enable comprehensive intelligence and tapping in where needed.
Why We’re a Better Place to Work
  • Competitive salary.
  • Medical, Dental and Vision coverage for full-time employees.
  • 401(k) and company match.
  • Unlimited (PTO) plus company paid holidays.
  • Corporate office stocked breakroom and full kitchen, chef prepared meals daily (breakfast and lunch).
  • State of the art onsite gym (Corporate HQ) with instructor led-courses/Gym stipend for remote employees.
  • Seasonal and year round wellness challenges.
  • Company sponsored events (annual family gatherings, happy hours and more).
  • Volunteering and local charity initiatives that help you nurture and grow the communities you call home. Employees receive 16 hours of paid volunteer time per year. 
  • Opportunities for career and professional development with conferences, events, seminars and continued education. 
About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 
  • At least 4+ years of experience in a People Analyst role where you ran people analytics projects from intake to action. If you’ve learned the most complicated analysis isn’t always the right analysis, how to get stakeholders excited about People Analytics and how to say no– you have this experience. 
  • SQL experience required
  • Python or R experience required
  • A degree in  Psychology, Economics, Math, Statistics or anything relevant to the implementation of People Analytics.  An advanced degree (e.g. Master’s, PhD) is preferred. 
  • Knowledge of methods (e.g. surveys, focus groups, experiments) and analysis (e.g. regression analysis, time series analysis, sentiment analysis) commonly used in People Analytics. 
  • Desire to thrive in a high-paced environment
  • Strong ability to adapt and be flexible within the scope of a given project as vision, priorities, and timelines shift

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

#LI-Remote

 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Physical Flexibility
  • Adaptability

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