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Analytics Engineer, People Analytics

Оценка ИИ

Отличная вакансия с полностью удаленным форматом работы, современным стеком технологий (Snowflake, dbt, AI) и сильным социальным пакетом. Компания демонстрирует быстрый рост и инновационный подход.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких технических знаний (SQL, Python, dbt, Snowflake) и опыта работы с данными HR (Workday). Высокая сложность обусловлена необходимостью интеграции данных из различных источников и участием в проектах по ИИ/LLM.

Анализ зарплаты

Медиана130 000 $
Рынок105 000 $ – 160 000 $
Оценка ИИ

Указанная роль Analytics Engineer в США обычно оплачивается в диапазоне $110,000 - $150,000 в год в зависимости от опыта. Вакансия предлагает конкурентоспособную компенсацию, соответствующую рыночным стандартам для специалистов уровня Middle/Senior.

Сопроводительное письмо

I am writing to express my strong interest in the Analytics Engineer, People Analytics position at EquipmentShare. With over 4 years of experience in SQL and 3 years in Python, I have a proven track record of building scalable ETL pipelines and data models that drive business value. My background in Snowflake and dbt aligns perfectly with your tech stack, and I am particularly excited about the opportunity to contribute to your AI/LLM initiatives.

In my previous roles, I have successfully partnered with HR and Finance departments to transform raw data into actionable insights. I am a self-starter who thrives in fast-paced environments and enjoys the challenge of codifying complex business rules into reliable data structures. I am eager to bring my technical expertise and passion for data quality to EquipmentShare to help build the future of construction technology.

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Присоединяйтесь к команде EquipmentShare и создавайте будущее People Analytics в строительной индустрии!

Описание вакансии

Build the Future with Us —EquipmentShare is Hiring a Analytics Engineer, People Analytics

At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares.

We’re hiring a Analytics Engineer, People Analytics for our Corporate HQ in Columbia, MO and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. This position is fully remote.

Serve as the point person for building and maintaining scalable data pipelines and data structures to support EquipmentShare’s People Analytics initiatives. Partners with HR, Finance, and the People Analytics team to manage data infrastructure and ETL processes efficiently, while contributing to internal tooling, automation, and AI/LLM initiatives.

Primary Responsibilities

  • Develop SQL and Python pipelines extracting and transforming data from Workday, LMS, Qualtrics, and email inboxes via Fivetran.
  • Maintain Snowflake/dbt data models, views, tasks, and transformations.
  • Monitor pipelines, implement automated testing, and proactively resolve data quality or workflow issues.
  • Build dashboards and analytics solutions using internal tools (e.g., Looker).
  • Codify business rules into models, transformations, and automated testing frameworks.
  • Support day-to-day reporting and analytics, reducing complexity in accessing and querying cross-functional data.

Core Focus Areas

  • Build and maintain scalable data pipelines and data structures to support People Analytics initiatives.
  • Partner with Payroll, HR, Finance, IT, and other analytics teams to deliver structured, secure, and reliable data solutions.
  • Contribute to internal tooling, automation, and AI/LLM-driven projects, such as chatbots and workflow automation.
  • Establish execution plans from start to finish for data initiatives and ensure successful implementation.
  • Take strong ownership of data quality, integrity, and operational reliability across analytics pipelines.

Why EquipmentShare?

Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward.

We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special.

Perks & Benefits

  • Competitive compensation
  • Full medical, dental, and vision coverage for full-time employees
  • Generous PTO + paid holidays
  • 401(k) + company match
  • Gym membership stipend + wellness programs (earn PTO and prizes!)
  • Company events and food truck nights
  • 16 hours of paid volunteer time per year — give back to the community you call home
  • Career advancement, leadership training, and professional development opportunities

About You

You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment.

We’re looking for people who:

  • See challenges as opportunities
  • Embrace change and continuous improvement
  • Bring energy, effort, and optimism every day

Skills & Qualifications

  • Desire to thrive in a fast-paced environment and strong ability to adapt as priorities, timelines, and project scope shift.
  • Strong verbal and written communication skills
  • Ability to work without constant supervision and is a self starter
  • Ability to work quickly and think logically, especially under pressure
  • Thrives on learning and growth opportunities; desires new challenges and enjoys a good puzzle
  • Sound communication skills and the ability to influence and manage cross-functional stakeholders.
  • Knowledge of payroll and benefit modules preferred.
  • Detail oriented, but able to pivot and re-prioritize efforts as required.
  • Ability to use diplomacy and tact when handling problems
  • Ability to be flexible and adapt to change in a positive manner

Education and Experience

  • Bachelor’s degree in data analytics, data science, statistics, information technology, or a related field.
  • At least 4 years of SQL experience, creating complex queries and scalable ETL solutions.
  • At least 3 years of Python experience, building and automating data pipelines and processes.
  • At least 2 years of experience in data modeling, including building production-ready data structures and transformations.
  • Experience with Snowflake, dbt, or similar data warehousing and modeling platforms.
  • Experience developing test automation and workflow orchestration using tools such as Airflow, Dagster, GitLab CI/CD, or Jenkins.
  • Experience reporting and querying cross-functional HR, People Analytics, or operational data.
  • Experience with Git for version control and collaborative development.
  • Familiarity with cloud environments (AWS preferred) and modern data engineering tools, operating in a managed DevOps framework with primary responsibility for the application and data layer.

Physical Requirements

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift 10 pounds at times

A Workplace For All

At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life.

We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do.

EquipmentShare is an EOE M/F/D/V.

*Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.*

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • SQL
  • Python
  • Snowflake
  • dbt
  • Fivetran
  • Looker
  • Airflow
  • Dagster
  • Git
  • AWS
  • Workday
  • Qualtrics
  • CI/CD

Возможные вопросы на собеседовании

Проверка навыков работы с основным инструментом трансформации данных.

Расскажите о самом сложном проекте, который вы реализовали с использованием dbt и Snowflake. Как вы структурировали модели?

Оценка опыта автоматизации и владения Python.

Какие библиотеки Python вы обычно используете для построения ETL-процессов и как вы обеспечиваете мониторинг качества данных?

Проверка понимания специфики People Analytics.

С какими сложностями вы сталкивались при работе с данными из Workday или других HR-систем?

Оценка опыта работы с современными технологиями.

Был ли у вас опыт внедрения LLM или чат-ботов в аналитические процессы? Какую роль в этом играла подготовка данных?

Проверка навыков командной работы и коммуникации.

Как вы подходите к сбору требований от кросс-функциональных стейкхолдеров, таких как отделы кадров или финансов?

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