Data Analyst ID97623

AgileEngine, LLC.; Sevilla; Hybrid; EUR 42,000 - 60,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

AgileEngine, Sevilla-based, is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure data and build pipelines and dashboards for internal stakeholders.

The role focuses on ETL/ELT development using PySpark/Databricks/Snowflake, advanced SQL, and creating Power BI dashboards to translate data into actionable business insights. Strong communication and AI tool familiarity are valued.

Qualifications

• At least 4 years in Data Analytics with strong quantitative and qualitative analytical skills.
• ETL/ELT pipelines experience, ideally PySpark/Databricks/Snowflake stack.
• Advanced SQL with complex querying for large-scale systems.
• Experience with large-scale IT infrastructure and asset datasets.

Responsibilities

• Design, build, and maintain interactive Power BI dashboards for enterprise infrastructure, assets, and risks.
• Develop, optimize, and maintain data transformation pipelines for massive data volumes.
• Engage with customers and stakeholders to translate requirements into data solutions.
• Write complex SQL queries to extract insights from multi-source databases.
• Evaluate AI tools to improve data processing and automation.
• Support data governance and quality initiatives.

Skills

ETL/ELT pipelines

PySpark

Databricks

Snowflake

Advanced SQL

Power BI

Tableau

Generative AI / LLM tooling

Tools

Power BI

Tableau

Qlik

Databricks

Job description

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.

If it’s a match, you’ll receive an offer.