The Role
Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Engage customers and internal stakeholders to translate business needs into data solutions, improve data quality and governance, and apply generative AI and LLM technologies to automate workflows and enhance analytics.
Summary Generated by Built In
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.
- 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.
Skills Required
- At least 4 years of experience in data analytics
- Strong quantitative and qualitative analytical skills with experience solving complex data problems
- Experience building ETL/ELT pipelines using PySpark, Databricks, Snowflake, or equivalent cloud technologies
- Advanced, production-grade SQL skills for complex querying, joins, and analytical operations
- Experience with massive enterprise-grade IT infrastructure, hardware/software asset, network, or cloud-resource datasets
- Proficiency creating interactive dashboards with Power BI or similar tools such as Tableau or Qlik
- Excellent oral and written communication skills, including independent customer-facing interactions
- Practical experience with generative AI tools and LLM framework integrations
- Upper-intermediate English proficiency
- Hands-on experience with ServiceNow data models, CMDB, or ServiceNow development
- Experience designing or maintaining enterprise authoritative data source strategies
- Knowledge of enterprise data governance, compliance, audit, and risk management processes
- Expertise in data mapping, complex transformations, and normalization across disparate datasets
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
