Data analyst for IT infrastructure

AgileEngine, LLC.; United States; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmaps

Job summary

AgileEngine, LLC. ищет Data Analyst для анализа и визуализации данных об инфраструктуре и активах. Вы будете строить пайплайны и дэшборды для внутренних стейкхолдеров, работать с PySpark/Databricks/Snowflake и продвигать автоматизацию через ИИ.

Требуется опыт в больших данных, сильные навыки SQL и опыт взаимодействия с клиентами и инженерными командами. Гибкий график, удаленная и офисная работа доступны.

Qualifications

• Не менее 4 лет в аналитике данных и подтверждаемое решение сложных задач.
• Опыт построения ETL/ELT конвейеров с использованием современных облачных стеков.
• Сильные навыки SQL для сложного запроса и объединения данных из множества источников.
• Опыт работы с массивными данными об инфраструктуре и активах.
• Умение строить интерактивные дэшборды в Power BI (или Tableau/Qlik).

Responsibilities

• Разработка и поддержка интерактивных дэшбордов для показателей инфраструктуры и активов.
• Оптимизация и сопровождение данных pipelines для больших объемов данных.
• Работа с заказчиками и инженерами для определения требований и трансформаций данных.
• Написание сложных SQL-запросов и извлечение инсайтов из нескольких источников.
• Использование передовых AI-инструментов для улучшения обработки данных и моделей.

Skills

Data Analytics

PySpark

Databricks

Snowflake

SQL

Power BI

Tableau

Qlik

English (Upper-Intermediate)

Tools

PySpark

Databricks

Snowflake

Power BI

Tableau

Job description

Описание:

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders.

Задачи:

• Design, build, and maintain interactive Power BI (or equivalent) dashboards to deliver clear metrics on enterprise infrastructure, assets, and operational risks.
• Develop, optimize, and maintain robust data transformation pipelines processing massive volumes of asset and infrastructure data.
• Directly engage with customers, business partners, and engineering teams to identify requirements, translate business needs into data solutions, and independently resolve complex data challenges.
• Write complex, optimized SQL queries to manipulate, validate, and extract key insights from multi-source large-scale databases.
• Evaluate and leverage frontier AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency.
• Assist in defining data mappings, transformations, and schema normalizations to maintain high standards of data integrity.

Требования:

• At least 4 years in Data Analytics, with strong quantitative and qualitative analytical skills and a proven track record of solving complex data problems.
• Robust experience building ETL/ELT pipelines, ideally utilizing a PySpark / Databricks / Snowflake stack (or equivalent modern cloud technologies).
• Strong, production-grade SQL skills for complex querying, data joining, and analytical operations across large-scale systems.
• Hands‑on experience working with massive, enterprise-grade datasets related to IT infrastructure, hardware/software assets, network configurations, or cloud resources.
• Proficient in creating interactive dashboards using Power BI (or similar tools such as Tableau/Qlik) to translate data into business narratives.
• Excellent oral and written communication skills, with the ability to lead data-focused discussions and customer-facing interactions independently.
• Practical knowledge of and experience using cutting‑edge AI technologies, Generative AI tools, and LLM framework integrations.
• Upper-intermediate English level.
• Будет плюсом: Hands-on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus;
• Experience designing or maintaining strategies for enterprise authoritative data sources;
• Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes;
• Demonstrated expertise in end‑to‑end data mapping, complex transformations, and normalization across disparate datasets

Условия:

• Mentorship, TechTalks, and personalized growth roadmaps.
• USD-based pay with education, fitness, and team activity budgets.
• Modern solutions with Fortune 500 and top product companies.
• Flexible schedule with remote and office options.