EquipmentShare

EquipmentShare is Hiring an Analytics Engineer- People Analytics.. EquipmentShare is searching for a People Analytics Engineer.. 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.

analytics engineer

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 dataBuild and maintain data models quickly, refining over time to get production modelsReduce tribal complexity of querying financial/accounting dataDevelop pipelines and testing automation to ensure financial data quality and integrityStrong owner in developing business-centric data models with minimal guidance and comfort deriving answers from ambiguityCodify business rules into data models/testingDevelop and manage data pipelines using SQL and Python that extract data from various sources and transform it according to business rulesWork with data from diverse sources, including Workday, survey data ( Qualtrics), and LMS systems to construct scalable analytics reports proficientlyStraddle the data architecture, Finance, and Human Resource worlds, choosing the right tool at the right time to make the right decision for the businessConvert business needs into technical specifications and establish a timetable for job completionCreate, test, and deploy changesContinuously monitor, improve, and proactively identify potential issues to improve the data pipelines and ETLs Why We’re a Better Place to Work Remote FirstTrue Work/Life balanceCompetitive salaryHealth insurance and medical coverage benefits401(k) and company matchUnlimited 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 machineWellness benefits including a Gym stipend for remote employeesFamily monthly dinner stipendVolunteering and local charity initiatives that help you nurture and grow the communities you call homeOpportunities 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 EngineerMinimum qualifications: 4+ years of SQL experience, creating complex SQL solutions to business problems3+ years of Python experience, creating scalable processes to solve business problems2+ years of experience data modelingExperience working with gitExperience working in the AWS landscape with AWS productsDesire to thrive in a high-paced environmentStrong 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 opportunityemployer 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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