Data Analyst ID97623

AgileEngine, LLC.; Castilla y León; Hybrid; EUR 42.000 - 62.000; Vollzeit

Benefits dieser Stelle

Professional growth

Competitive compensation

Exciting projects

Flextime

Zusammenfassung

AgileEngine, LLC. is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders in a hybrid Spain-based role.

You will develop ETL/ELT pipelines, craft production-grade SQL, and deliver Power BI dashboards. The ideal candidate has strong communication skills, a background in AI/LLM tools, and experience with enterprise datasets.

Qualifikationen

• At least 4 years in Data Analytics.
• ETL/ELT pipelines with PySpark/Databricks/Snowflake stack.
• Advanced SQL for complex querying and data operations.
• Experience with large-scale IT infrastructure and asset datasets.
• Dashboarding with Power BI or Tableau/Qlik.

Aufgaben

• Design, build, and maintain interactive Power BI dashboards for enterprise infrastructure and assets.
• Develop and optimize data transformation pipelines for massive asset data.
• Engage with customers and partners to translate business needs into data solutions.
• Write optimized SQL queries to extract insights from multi-source databases.
• Evaluate AI tools to improve data workflows and analytics.
• Support data mapping and governance to maintain data integrity.

Kenntnisse

ETL/ELT pipelines

Advanced SQL

Power BI

Big data assets

Communication

AI/LLM tools

English

Tools

PySpark

Databricks

Snowflake

Jobbeschreibung

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.