Data Analyst ID97623

AgileEngine; Województwo mazowieckie; Híbrido; PLN 237.000 - 356.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

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

You will design robust ETL/ELT processes, write advanced SQL, and create Power BI dashboards that translate complex data into actionable insights. Strong communication and AI tool experience are a plus, and the role offers flexible remote and office options.

Formación

• 4+ years of data analytics experience with strong quantitative and qualitative skills.
• Robust ETL/ELT experience, PySpark / Databricks / Snowflake stack (or equivalents).
• Advanced SQL skills for complex queries on large-scale systems.
• Experience with massive enterprise datasets related to IT infrastructure and assets.
• Proficient in Power BI or similar BI tools to tell data-driven stories.
• Excellent communication skills for stakeholder engagements and customer-facing discussions.
• Hands-on familiarity with frontier AI tools and LLM integrations.
• Upper-intermediate English proficiency.

Responsabilidades

• Design, build, and maintain interactive Power BI dashboards showing infrastructure, assets, and risk metrics.
• Develop and optimize data transformation pipelines processing large asset and infrastructure data.
• Engage with customers and partners to translate requirements into data solutions and resolve complex issues.
• Write optimized SQL queries to validate and extract insights from multi-source databases.
• Evaluate frontier AI tools to enhance data processing and analytics workflows.
• Support data quality and governance through mappings and schema normalization.

Conocimientos

Data analytics

SQL

Dashboarding / BI

Communication

English proficiency

AI / Generative AI knowledge

Herramientas

PySpark

Databricks

Snowflake

Power BI

Tableau

Qlik

Descripción del empleo

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‑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.