Data Analyst ID97623

AgileEngine, LLC.; Województwo pomorskie; Hybrid; PLN 80,000 - 120,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation and

Exciting projects

Flextime with remote/office options

Job summary

AgileEngine 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 work with PySpark/Databricks/Snowflake, SQL, and BI tools like Power BI to turn data into actionable insights, collaborating with cross-functional teams and clients. This role offers a people-first culture, flexible schedule, and opportunities to impact product decisions across multiple Fortune 500 and startup projects.

Qualifications

• At least 4 years in Data Analytics with strong quantitative and qualitative analytical skills.
• ETL/ELT pipelines experience using PySpark/Databricks/Snowflake stack or equivalent cloud technologies.
• Advanced SQL: production-grade queries for complex analytics across large-scale systems.
• Experience with massive enterprise datasets related to IT infrastructure, hardware/software assets, networks, or cloud resources.
• Dashboarding with Power BI or Tableau/Qlik to translate data into business narratives.
• Excellent communication skills; able to lead data-focused discussions and interactions.
• Practical knowledge of frontier AI technologies, Generative AI tools, and LLM framework integrations.

Responsibilities

• Design, build, and maintain interactive Power BI dashboards to monitor enterprise infrastructure and assets.
• Develop and optimize data transformation pipelines processing large volumes of IT data.
• Engage with customers, partners, and engineering teams to translate requirements into data solutions.
• Write complex SQL queries to extract insights from multiple data sources.
• Evaluate AI tools to improve data processing and analytics workflows.
• Contribute to data quality, governance, and schema normalization.

Skills

Data analytics

ETL/ELT pipelines

Advanced SQL

Large-scale datasets

BI dashboards

Communication

AI technologies

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.