О компании
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.
