AgileEngine

Data Analyst

5200 - 7245 USD/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·KrakówFull-time·B2B

#466654·Dodano 9 dni temu·3

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

TableauQlikPower BISQL Snowflake Databricks PySparkETL/ELTdata analytics

Podsumowanie oferty

The role focuses on analyzing and visualizing large-scale IT infrastructure and asset data, and building data pipelines and dashboards for internal stakeholders. It uses SQL, PySpark, Databricks, Snowflake, and Power BI (or Tableau/Qlik).

Wymagania

At least 4 years of experience in data analytics, with strong quantitative and qualitative analytical skills and a track record of solving complex data problems.
Robust experience building ETL/ELT pipelines, ideally using PySpark, Databricks, or Snowflake, or equivalent modern cloud technologies.
Advanced, production-grade SQL skills for complex querying, data joining, and analytical operations across large-scale systems.
Hands-on experience with large-scale enterprise datasets related to IT infrastructure, hardware or software assets, network configurations, or cloud resources.
Proficiency creating interactive dashboards using Power BI, Tableau, or Qlik.
Excellent oral and written communication skills, including the ability to lead data-focused discussions and customer-facing interactions independently.
Practical knowledge of and experience using AI technologies, Generative AI tools, and LLM framework integrations.
Upper-intermediate English level.

Nice to have:

Hands-on experience with ServiceNow data models, Configuration Management Databases (CMDB), or ServiceNow development.
Experience designing or maintaining strategies for enterprise authoritative data sources.
Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes.
Expertise in end-to-end data mapping, complex transformations, and normalization across disparate datasets.

Obowiązki

Data Analysis & Visualization:

Design, build, and maintain interactive Power BI or equivalent dashboards with metrics on enterprise infrastructure, assets, and operational risks.

ETL/ELT Data Engineering:

Develop, optimize, and maintain data transformation pipelines processing large volumes of asset and infrastructure data.

Stakeholder & Client Leadership:

Engage with customers, business partners, and engineering teams to identify requirements and translate business needs into data solutions.
Independently resolve complex data challenges.

Data Querying & Modeling:

Write optimized SQL queries to manipulate, validate, and extract insights from large-scale, multi-source databases.

AI & Automation Integration:

Evaluate and use 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 data integrity.

Benefity

Mentorship, TechTalks, and personalized growth roadmaps.
Budgets for education, fitness, and team activities.
Flexible schedule.

Elastyczne godziny

Dofinansowanie szkoleń

Spotkania integracyjne

Inne informacje

Recruitment process: an online form to confirm basic requirements, a 30–60 minute skills assessment, a 5-minute introduction video, a technical interview with the engineering team, and a final interview with future teammates.

AgileEngine

28 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz