Data Analyst ID97623

AgileEngine, LLC.; Kraków; Hybrid; PLN 350,000 - 466,000; Full time

Benefits offered by this job

Growth opportunities

USD-based pay

Flexible schedule

Remote options

Job summary

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.

The role requires hands-on ETL/ELT work using PySpark/Databricks/Snowflake, Advanced SQL, and Power BI, translating complex data into clear business narratives. You will collaborate with customers and engineering teams to turn data into actionable insights.

Qualifications

• At least 4 years in Data Analytics with strong quantitative and qualitative skills.
• ETL/ELT pipelines using PySpark/Databricks/Snowflake stack.
• Advanced SQL for complex querying on large-scale systems.
• Experience with enterprise asset datasets and BI dashboards.
• Excellent communication and stakeholder management.
• Experience with frontier AI tools and LLM integrations.

Responsibilities

• Design, build, and maintain Power BI dashboards for enterprise infrastructure.
• Develop robust ETL/ELT pipelines for asset data.
• Collaborate with customers and engineering to translate needs into data solutions.
• Write optimized SQL queries for multi-source datasets.
• Evaluate AI tools to improve data workflows.

Skills

Data Analytics

SQL

Communication

Project leadership

Dashboards

AI tools

Tools

PySpark

Databricks

Snowflake

Power BI

Tableau

Qlik

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.