Data Analyst Id97623

Job Description AgileEngine is an Inc. ** 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.- Upper-intermediate English level.NICE TO HAVES - ServiceNow & CMDB: Hands-on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus.- Authoritative Data Source (ADS) Strategy: Experience designing or maintaining strategies for enterprise authoritative data sources.- 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-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 Application ? Coding Challenge ? Video Interview ? Technical Interview or Hiring Manager Interview Each step helps us understand your skills and overall fit.If it’s a match, you’ll receive an offer.Requirements At least 4 years in Data Analytics, with strong quantitative and qualitative analytical skills with 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 PowerBI (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.

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.

• Upper-intermediate English level. NICE TO HAVES - ServiceNow & CMDB: Hands-on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus.

• Authoritative Data Source (ADS) Strategy: Experience designing or maintaining strategies for enterprise authoritative data sources.
• 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-end data mapping, complex transformations, and normalization across disparate datasets., Requirements At least 4 years in Data Analytics, with strong quantitative and qualitative analytical skills with 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 PowerBI (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.

Job Description AgileEngine is an Inc. ** 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!