Data Analyst ID97623

AgileEngine; Poznań; Híbrido; PLN 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

USD-based pay

Remote & on-site options

Descripción de la vacante

AgileEngine in Poznań seeks a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders. You will work with PySpark/Databricks/Snowflake, SQL, and Power BI to deliver insights, support frontier AI initiatives, and collaborate with cross-functional teams in a hybrid, remote-friendly setting.

The role offers flexible hours, remote and office options, and a chance to contribute to Fortune 500-scale projects with

Formación

• At least 4 years in Data Analytics with strong analytical skills.
• ETL/ELT pipelines using PySpark/Databricks/Snowflake.
• Advanced SQL for large-scale systems.
• Experience with IT infrastructure and asset datasets.
• Dashboarding in Power BI or similar tools.
• Excellent communication and stakeholder engagement.
• Frontier AI tools and LLM integrations experience a plus.
• Upper-intermediate English language proficiency.

Responsabilidades

• Design, build, and maintain Power BI dashboards for enterprise assets and risks.
• Develop, optimize, and maintain robust ETL/ELT pipelines for large datasets.
• Engage with customers and engineering teams to translate requirements.
• Write complex SQL to derive insights from multi-source databases.
• Evaluate frontier AI tools to improve data workflows and automation.
• Support data quality and governance initiatives across projects.

Conocimientos

Data analytics

ETL/ELT pipelines

SQL

PySpark

Databricks

Snowflake

Power BI

Dashboard design

Communication

English (B2+)

Educación

Bachelor's degree in a relevant field

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-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.