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.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
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.
MUST HAVES
At least 4 years in Data Analytics , with strong quantitative and qualitative analytical skills and a proven track record of solving complex data problems.
ETL/ELT Processing: Robust experience building ETL/ELT pipelines, ideally utilizing a PySpark / Databricks / Snowflake stack (or equivalent modern cloud technologies).
Advanced SQL : Strong, production-grade SQL skills for complex querying, data joining, and analytical operations across large-scale systems.
Large-Scale Asset & Infrastructure Datasets: Hands‑on experience working with massive, enterprise‑grade datasets related to IT infrastructure, hardware/software assets, network configurations, or cloud resources.
Dashboarding & Business Intelligence: Proficient in creating interactive dashboards using Power BI (or similar tools such as Tableau/Qlik) to translate data into business narratives.
Communication: Excellent oral and written communication skills, with the ability to lead data‑focused discussions and customer‑facing interactions independently.
Frontier AI Technologies: Practical knowledge of and experience using cutting‑edge AI technologies, Generative AI tools, and LLM framework integrations.
NICE TO HAVES
ServiceNow & CMDB: Hands‑on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus.
Data Governance & Risk Management: Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes.
Data Transformation Expertise: Demonstrated expertise in end-to‑to‑end data mapping, complex transformations, and normalization across disparate datasets.
WHAT YOU WILL DO
Data Analysis & Visualization: Design, build, and maintain interactive Power BI (or equivalent) dashboards to deliver clear metrics on enterprise infrastructure, assets, and operational risks.
ETL/ELT Data Engineering: Develop, optimize, and maintain robust data transformation pipelines processing massive volumes of asset and infrastructure data.
Stakeholder & Client Leadership: Directly engage with customers, business partners, and engineering teams to identify requirements, translate business needs into data solutions, and independently resolve complex data challenges.
Data Querying & Modeling: Write complex, optimized SQL queries to manipulate, validate, and extract key insights from multi‑source large‑scale databases.
AI & Automation Integration: Evaluate and leverage frontier AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency.
Data Quality & Governance: Assist in defining data mappings, transformations, and schema normalizations to maintain high standards of data integrity.
PERKS AND BENEFITS
Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation : USD‑based pay with education, fitness, and team activity budgets.
Exciting projects : Modern solutions with Fortune 500 and top product companies.
Flextime : Flexible schedule with remote and office options.
Meet Our Recruitment Process
Each step helps us understand your skills and overall fit.
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