Data Analyst

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    LEAP WITH CONFIDENCE.

    SCALE THROUGH COMPETENCE.

    Data Analyst

    2026.08.27.

    Summary

    Bucharest, ROU

    Hybrid

    Medior

    Introduction

    Swicon Group is one of the leading members of the IT arena for almost a decade, since 2017 present also in Romania. Our wide range of services and highly trained professionals give us the opportunity to shape our solutions to fully meet the ideas and wishes of our clients. We are proud to have leading banks, insurance and telecommunication companies, as well as large FMCG corporations and SSCs amongst our highly prestigious partners. 

    Tasks

    Responsibilities:

    • Design, build, and maintain robust data pipelines and ETL processes to support supply chain analytics and planning systems
    • Develop and manage databases, including schema design, query optimization, and ensuring data integrity and availability
    • Build and deploy internal automation tools and data products used across the SPO organization
    • Develop and maintain BI dashboards (Tableau or Power BI) to provide actionable insights to stakeholders
    • Collaborate closely with Data Scientists and Data Analysts to translate business needs into scalable data solutions
    • Maintain and improve server infrastructure hosting scripts, databases, and algorithms
    • Ensure data quality, documentation, and best practices across all data assets

    Expectations

    Requirements:

    • Education: B.Sc. in Computer Science, Information Systems, Industrial Engineering, or a related field, or equivalent practical experience.
    • Professional experience: At least five years of hands-on experience in data engineering, software development, or a closely related area.
    • Python: Advanced proficiency in Python, with experience writing clean, reliable, and production-grade code for data pipelines, automation, and internal applications.
    • SQL and databases: Strong SQL skills and a solid understanding of database administration concepts, including schema design, indexing, query optimization, performance tuning, and data pipeline architecture.
    • Data engineering: Proven experience designing, building, and maintaining scalable data pipelines and data infrastructure.
    • BI and visualization: Experience developing dashboards and reports using Tableau or Power BI.
    • Analytical mindset: A passion for data analysis, product development, automation, and solving complex business problems.
    • Problem-solving: Strong analytical thinking and structured problem-solving capabilities.
    • Communication: Good verbal and written English communication skills.
    • Collaboration: Strong interpersonal skills and the ability to influence and drive action across multiple stakeholders without direct authority.

    Advantages

    Advantages:

    • Experience with Windows Server management, maintenance, and optimization.
    • Experience with Databricks.
    • Understanding of supply chain operations and planning processes.
    • Knowledge of machine learning, statistics, and data science concepts.
    • Experience with AI tools, AI-powered applications, agents, or LLM-based solutions.
    • Familiarity with Microsoft 365 tools, particularly Power Apps and Power Automate.
    • Previous experience working in a supply chain, planning, logistics, or operations environment.

    Employer's offer

    • Meal tickets
    • Hybrid work( 2 office days/ week)
    • 24 paid annual leave
    • Private Medical Subscription
    • Salary up to 12 000 lei net

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      Data Analyst data management,Analytical thinker ROU Bucharest hybrid medior Swicon Group is one of the leading members of the IT arena for almost a decade, since 2017 present also in Romania. Our wide range of services and highly trained professionals give us the opportunity to shape our solutions to fully meet the ideas and wishes of our clients. We are proud to have leading banks, insurance and telecommunication companies, as well as large FMCG corporations and SSCs amongst our highly prestigious partners.  Responsibilities:Design, build, and maintain robust data pipelines and ETL processes to support supply chain analytics and planning systemsDevelop and manage databases, including schema design, query optimization, and ensuring data integrity and availabilityBuild and deploy internal automation tools and data products used across the SPO organizationDevelop and maintain BI dashboards (Tableau or Power BI) to provide actionable insights to stakeholdersCollaborate closely with Data Scientists and Data Analysts to translate business needs into scalable data solutionsMaintain and improve server infrastructure hosting scripts, databases, and algorithmsEnsure data quality, documentation, and best practices across all data assets Responsibilities:Design, build, and maintain robust data pipelines and ETL processes to support supply chain analytics and planning systemsDevelop and manage databases, including schema design, query optimization, and ensuring data integrity and availabilityBuild and deploy internal automation tools and data products used across the SPO organizationDevelop and maintain BI dashboards (Tableau or Power BI) to provide actionable insights to stakeholdersCollaborate closely with Data Scientists and Data Analysts to translate business needs into scalable data solutionsMaintain and improve server infrastructure hosting scripts, databases, and algorithmsEnsure data quality, documentation, and best practices across all data assets Requirements:Education: B.Sc. in Computer Science, Information Systems, Industrial Engineering, or a related field, or equivalent practical experience.Professional experience: At least five years of hands-on experience in data engineering, software development, or a closely related area.Python: Advanced proficiency in Python, with experience writing clean, reliable, and production-grade code for data pipelines, automation, and internal applications.SQL and databases: Strong SQL skills and a solid understanding of database administration concepts, including schema design, indexing, query optimization, performance tuning, and data pipeline architecture.Data engineering: Proven experience designing, building, and maintaining scalable data pipelines and data infrastructure.BI and visualization: Experience developing dashboards and reports using Tableau or Power BI.Analytical mindset: A passion for data analysis, product development, automation, and solving complex business problems.Problem-solving: Strong analytical thinking and structured problem-solving capabilities.Communication: Good verbal and written English communication skills.Collaboration: Strong interpersonal skills and the ability to influence and drive action across multiple stakeholders without direct authority. Advantages:Experience with Windows Server management, maintenance, and optimization.Experience with Databricks.Understanding of supply chain operations and planning processes.Knowledge of machine learning, statistics, and data science concepts.Experience with AI tools, AI-powered applications, agents, or LLM-based solutions.Familiarity with Microsoft 365 tools, particularly Power Apps and Power Automate.Previous experience working in a supply chain, planning, logistics, or operations environment. Meal ticketsHybrid work( 2 office days/ week)24 paid annual leavePrivate Medical SubscriptionSalary up to 12 000 lei net