Senior Power BI, Data Specialist

Qualco Technology

. Design, develop, and maintain Power BI dashboards, reports, and analytical solutions.

Posted 10/16/2026contractRemote • GreeceSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Power BI dashboard development, data modeling, and SQL query optimization, alongside strong proficiency in Python for data automation and analysis. Capable of translating complex business requirements into actionable analytical solutions while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Power BI Dashboard DevelopmentPython Data AutomationSQL Query OptimizationData Integration and AnalyticsBusiness Requirements Gathering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData VisualizationData ProcessingData ValidationMaster Data ManagementBusiness Intelligence ToolsCloud-Based AnalyticsData Integration PipelinesAnalytical Reporting InterfacesKubernetes

Soft Skills

Stakeholder CommunicationFacilitation SkillsAnalytical ThinkingCollaborationContinuous Improvement Mindset

Tools & Technologies

Power BIPower QueryDatabricksSQLCloud-Based Analytics Platforms

Industry Keywords

Data GovernanceData QualityRegulatory CompliancePublic Sector ExperienceEnterprise-Scale Analytics

Tech Stack

Tools & technologies

CloudKubernetesPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain Power BI dashboards, reports, and analytical solutions.
Develop and optimise data models using Power BI and Power Query.
Create data processing and automation solutions using Python.
Write, optimise, and maintain SQL queries for reporting and analytical activities.
Leverage Databricks and modern analytics platforms for scalable reporting and data-driven decision-making.
Gather, analyse, document, and validate business requirements.
Translate business needs into technical and analytical solutions.
Support intuitive and user-friendly analytical interfaces.
Explain technical concepts, opportunities, and constraints to non-technical stakeholders.
Facilitate discussions and workshops with business and technical teams.
Support continuous improvement of data products and analytics services.
Collaborate with stakeholders in an international and multicultural environment.
Promote analytics best practices, data quality, and continuous improvement initiatives.
Perform other tasks assigned by the supervisor.
Ensure activities comply with regulatory requirements and support implementation of the Group Anti-Bribery and Corruption Policy.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or a related field.
At least six (6) years of experience, after having completed university studies, in data management and software development.
Proficiency in two or more of: business intelligence tools, data visualisation, controlled terminologies, business glossaries and ontologies, data architectures, data integration pipelines, data validation processes and pipelines, and master data management.
Strong hands-on experience with Power BI, including data modelling, Power Query, dashboard and report development, and semantic models.
Strong experience with Python for data analysis, automation, and reporting solutions.
Experience with Databricks, SQL, Python, cloud-based analytics environments, and containerized platforms utilizing Kubernetes.
Experience with data integration and analytics platforms.
Experience gathering and documenting business requirements from technical and non-technical stakeholders.
Ability to translate business needs into technical deliverables and analytical solutions.
Experience developing or supporting analytical and user-facing reporting interfaces.
Ability to explain technical concepts to business audiences.
Familiarity with modern BI and data engineering practices.
Ability to facilitate discussions and workshops with business and technical stakeholders in English.
Fluency in English at C1 level or higher according to the CEFR.
Advantageous: experience in international, regulated, or public-sector environments; enterprise-scale analytics initiatives; cloud-based analytics and data platforms; AI-assisted analytics, advanced reporting, or data-driven automation; data governance or data product management concepts.

Benefits

Comp & perks

Offsite work under a B2B contract
Equal opportunity regardless of race, gender identity and expression, age, ethnicity, or disability
GDPR-compliant processing of personal data for recruitment purposes