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Analytics Engineer, People Analytics
Отличная вакансия в технологичной компании с современным стеком (Snowflake, dbt, Airflow) и возможностью работать удаленно. Предлагаются хорошие бонусы и участие в передовых проектах (AI/LLM).
Сложность вакансии
Роль требует серьезного технического стека (SQL, Python, dbt, Snowflake) и минимум 4 года опыта. Сложность добавляет необходимость работы с HR-данными и участие в проектах по автоматизации на базе LLM.
Анализ зарплаты
В вакансии не указана зарплата, но для позиции Analytics Engineer с опытом от 4 лет в США рыночный диапазон составляет $120,000–$160,000 в год. Предложение EquipmentShare, вероятно, находится в этих пределах, учитывая конкурентный характер компании.
Сопроводительное письмо
I am writing to express my strong interest in the Analytics Engineer position within the People Analytics team at EquipmentShare. With over four years of experience in SQL and a proven track record of building robust Python-based data pipelines, I am excited about the opportunity to contribute to your mission of transforming the construction industry through innovative data solutions. My background in developing Snowflake/dbt models and automating workflows aligns perfectly with your requirements for maintaining scalable data structures.
In my previous roles, I have successfully partnered with HR and Finance departments to deliver structured and secure data solutions, much like the cross-functional collaboration emphasized at EquipmentShare. I am particularly drawn to your focus on AI/LLM initiatives and internal tooling automation. I am confident that my technical expertise in dbt, Airflow, and cloud environments, combined with my passion for solving complex puzzles, will allow me to make an immediate impact on your People Analytics initiatives.
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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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Навыки
- SQL
- Python
- Snowflake
- dbt
- Fivetran
- Looker
- Airflow
- Dagster
- Git
- GitLab CI/CD
- Jenkins
- AWS
- ETL
- Data Modeling
Возможные вопросы на собеседовании
Проверка глубоких знаний SQL и умения оптимизировать запросы для больших данных.
Опишите ваш опыт оптимизации сложных SQL-запросов в Snowflake. С какими проблемами производительности вы сталкивались и как их решали?
dbt является ключевым инструментом в описании вакансии.
Как вы организуете структуру проектов в dbt для обеспечения масштабируемости и чистоты кода при работе с кросс-функциональными данными?
Вакансия подразумевает работу с конфиденциальными данными сотрудников.
Какие лучшие практики вы используете при проектировании ETL-процессов для обеспечения безопасности и конфиденциальности данных HR и Payroll?
Упоминается использование Python для автоматизации и интеграции с API (Workday, Qualtrics).
Расскажите о самом сложном конвейере данных на Python, который вы разработали. Как вы обрабатывали ошибки и обеспечивали отказоустойчивость?
Компания активно внедряет инновации.
Был ли у вас опыт внедрения LLM или чат-ботов в аналитические рабочие процессы? Если нет, как бы вы подошли к автоматизации ответов на типичные вопросы HR с помощью данных?
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