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Analytics Engineer- People Analytics
Analytics Engineer- People Analytics-March 2024
Virtual
Mar 28, 2026
About Analytics Engineer- People Analytics

  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 AccountingEquipmentShare 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

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