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 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.

Originally posted on Himalayas

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Analytics Engineer, Data Analytics Engineer, Analytics Engineer Lead, Analytics Engineering 

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