{"id":3264678,"url":"https://alion.io/job/agileengine-analytics-engineer","title":"Analytics Engineer","company":{"id":1902,"name":"AgileEngine","domain":"agileengine.com","url":"https://alion.io/company/agileengine","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Kraków, Poland","Warsaw, Poland","Poznań, Poland","Lublin, Poland","Szczecin, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":5200,"max":7245,"currency":"USD","period":"month","gross":null,"usd_annual":86940},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Python","optional":true},{"name":"ServiceNow","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-26T07:17:17Z","employer_posted_date":null,"last_verified_at":"2026-10-26T07:17:17Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"ID97623\nAgileEngine 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.\nWhy join us\nIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!\nAbout the role\nWe are looking for a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders.\nThe mandatory requirements are advanced SQL, experience building ETL/ELT pipelines with PySpark, Databricks, or Snowflake, 4+ years in data analytics, experience with large-scale IT infrastructure or asset datasets, Power BI, Tableau, or Qlik, hands-on use of GenAI tools, and strong English communication skills.\nMust haves\nAt least 4 years in Data Analytics, with strong quantitative and qualitative analytical skills and a proven track record of solving complex data problems;\n\nETL/ELT Processing: Robust experience building ETL/ELT pipelines, ideally utilizing a PySpark / Databricks / Snowflake stack (or equivalent modern cloud technologies);\n\nAdvanced SQL: Strong, production-grade SQL skills for complex querying, data joining, and analytical operations across large-scale systems;\n\nLarge-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;\n\nDashboarding & Business Intelligence: Proficient in creating interactive dashboards using Power BI (or similar tools such as Tableau/Qlik) to translate data into business narratives;\n\nCommunication: Excellent oral and written communication skills, with the ability to lead data-focused discussions and customer-facing interactions independently;\n\nFrontier AI Technologies: Practical knowledge of and experience using cutting-edge AI technologies, Generative AI tools, and LLM framework integrations;\n\nUpper-intermediate English level;\n\nNice to haves\nServiceNow & CMDB: Hands-on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus;\n\nAuthoritative Data Source (ADS) Strategy: Experience designing or maintaining strategies for enterprise authoritative data sources;\n\nData Governance & Risk Management: Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes;\n\nData Transformation Expertise: Demonstrated expertise in end-to-end data mapping, complex transformations, and normalization across disparate datasets;\n\nWhat you will do\nData Analysis & Visualization: Design, build, and maintain interactive Power BI (or equivalent) dashboards to deliver clear metrics on enterprise infrastructure, assets, and operational risks;\n\nETL/ELT Data Engineering: Develop, optimize, and maintain robust data transformation pipelines processing massive volumes of asset and infrastructure data;\n\nStakeholder & 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;\n\nData Querying & Modeling: Write complex, optimized SQL queries to manipulate, validate, and extract key insights from multi-source large-scale databases;\n\nAI & Automation Integration: Evaluate and leverage frontier AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency;\n\nData Quality & Governance: Assist in defining data mappings, transformations, and schema normalizations to maintain high standards of data integrity;\n\nPerks and benefits\nProfessional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;\n\nCompetitive compensation: We match your skills and contributions with USD-based compensation and budgets for education, fitness, and team activities;\n\nA selection of exciting projects: Work with Fortune 500 enterprises and leading product brands using modern solutions;\n\nFlextime: Flexible schedule with remote and office options for work-life balance;\n\nMeet Our Recruitment Process\nAsynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:\nShort online form to confirm basic requirements\n\n30–60 minute skills assessment\n\n5-minute introduction video\n\nSynchronous stage – Live interviews\nTechnical interview with our engineering team (scheduled at your convenience)\n\nFinal interview with your future teammates\n\nIf it’s a match—you’ll get an offer!\nTech stack\nTableau\nQlik\nPower BI\nSQL\nSnowflake\nDatabricks\nPySpark\nETL/ELT\ndata 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