Analytics Engineer- People Analytics

EquipmentShare • Remote

Company

EquipmentShare

Location

Remote

Type

Full Time

Job Description

EquipmentShare is Hiring an Analytics Engineer- People Analytics.

EquipmentShare is searching for a People Analytics Engineer. You will serve as the point person for transforming EquipmentShare's Human Resource-focused business and analytics needs into a scalable and repeatable structure. You will partner with HR and Finance stakeholders and the People Analytics team to create and monitor data pipelines, with a focus on developing processes and architecture efficiently and for the first time. Our ideal candidate sits at the intersection of Analytics and Data Science.

Your Opportunity to Grow With Us as a People Analytics Engineer.

Primary Responsibilities for a People Analytics Engineer

  • Translate between financial and accounting concepts and data
  • Build and maintain data models quickly, refining over time to get production models
  • Reduce tribal complexity of querying financial/accounting data
  • Develop pipelines and testing automation to ensure financial data quality and integrity
  • Strong owner in developing business-centric data models with minimal guidance and comfort deriving answers from ambiguity
  • Codify business rules into data models/testing
  • Develop  and  manage  data  pipelines using  SQL and Python that  extract  data  from  various sources and transform it according to business rules
  • Work with data from diverse sources, including Workday, survey data (e.g. Qualtrics), and LMS systems to construct scalable analytics reports proficiently
  • Straddle the data architecture, Finance, and Human Resource worlds, choosing the right tool at the right time to make the right decision for the business
  • Convert business needs into technical specifications and establish a timetable for job completion
  • Create, test, and deploy changes
  • Continuously monitor, improve, and proactively identify potential issues to improve the data pipelines and ETLs

Why We’re a Better Place to Work

  • Remote First
  • True Work/Life balance
  • Competitive salary
  • Health insurance and medical coverage benefits
  • 401(k) and company match
  • Unlimited paid time off 
  • Paid time for primary and secondary parental leave 
  • Management commitment to a diverse and inclusive work environment 
  • Choice of MacBook Pro, Linux, or Windows machine
  • Wellness benefits including a Gym stipend for remote employees
  • Family monthly dinner stipend
  • Volunteering and local charity initiatives that help you nurture and grow the communities you call home
  • Opportunities for career and professional development with conferences, events, seminars and continued education. 
  • 2 free audio books a month centered around personal & professional development 

About You 

The opportunity for career growth is unparalleled at EquipmentShare, where you’ll find no shortage of challenging yet fulfilling work, chances to build new skills and supportive teammates who will push you to achieve your best. 

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. 

If you’re an analytics engineer with a deep passion for data, EquipmentShare could be the perfect place for you. With a fast-paced, fast-growing company environment, the opportunity for professional growth and development is unparalleled. At EquipmentShare we have a strong belief and support in supporting the business with data; as a result, processes and models you build will drive real impact on analytics across the company.

Skills & Qualifications for People Analytics Engineer

Minimum qualifications:

  • 4+ years of SQL experience, creating complex SQL solutions to business problems
  • 3+ years of Python experience, creating scalable processes to solve business problems
  • 2+ years of experience data modeling
  • Experience working with git
  • Experience working in the AWS landscape with AWS products
  • 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

Preferred qualifications:

  • Experience working with confidential data within departments like Human Resources, Finance or Accounting

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
#LI-Remote

Apply Now

Date Posted

04/27/2024

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