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Data Analysis / BI Expert

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Onsite

Data Analysis / BI Expert

Sightspectrum

Data Analysis / BI Expert

Skills

Data ScienceData VisualizationData AnalysisMachine LearningAICompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Qatar

Work mode:

Onsite

Published on:

17 August 2026

What they need


The Data Analysis / BI Expert oversees the design of business intelligence solutions and reporting systems under the AI & Data Analytics Section. The role places particular emphasis on e-invoicing analytics and reporting, enabling visibility over invoice flows, onboarding progress, compliance indicators, and operational performance of the e-invoicing ecosystem. The role develops reporting systems and visual analytics tools, analyzes business data needs, and prepares consolidated business reports and dashboards. The Expert reviews the clarity and usability of visualizations, advises stakeholders on BI usage, and coordinates with the Data Science & ML Expert to incorporate analytical and AI outputs into BI solutions, including insights derived from e-invoicing data.

Key Responsibilities

  • BI Solutions & Reporting Systems
  • Develop business intelligence solutions and reporting systems in line with organisations analytical and reporting needs, with specific focus on e-invoicing performance, adoption, compliance, and operational monitoring.
  • Prepare consolidated business reports based on analytical outputs and monitor their consistency with defined metrics and structures, including standardized e-invoicing KPIs and indicators.
  • Dashboards, Visualizations & Presentation Models
  • Develop visual analytics tools and dashboards to support understanding and use of business data, including dashboards tracking e-invoicing registration, onboarding, invoice volumes, and processing outcomes.
  • Maintain and review presentation models used for reporting and visualization to ensure they remain aligned with business requirements, particularly for e-invoicing stakeholders and management reporting.
  • Develop user interfaces and front-end components that support the adoption of analytics and AI solutions across stakeholders, including intuitive views for monitoring e-invoicing operations and performance.
  • Data Analysis & Collaboration with Data Science
  • Analyze business data requirements and coordinate with the Data Science & ML Expert to align analytical outputs with BI solutions, including models and insights related to e-invoicing compliance, behavior, and trends.
  • Review dashboards and visualizations for clarity, usability, and alignment with analytical results and advise on enhancements, ensuring e-invoicing insights are clear, actionable, and decision-ready.
  • Ad-Hoc Reporting & On-Demand Analysis
  • Generate ad-hoc analytical reports and visualizations in response to management, policy, operational, or regulatory requests, including time-sensitive e-invoicing reports related to rollout progress, performance issues, or compliance concerns.
  • Analyze ad-hoc reporting requests to clarify objectives, validate assumptions, and ensure outputs are aligned with approved e-invoicing metrics, definitions, and data sources
  • Present ad-hoc insights in a clear and structured manner to support rapid decision-making, issue resolution, and executive briefings, particularly during e-invoicing implementation and enhancement phases.

Preferred Qualifications & Experience

Preferred qualifications

  • Bachelors degree in Information Systems, Data Analytics, Business Intelligence, or a related field.
  • Master’s degree in a related field is preferred.
  • Relevant professional certifications are an advantage.

Preferred experience

  • 16+ years of relevant experience in business intelligence, data analysis, or reporting solutions.
  • Demonstrated knowledge of BI solution design, reporting systems, and development of dashboards and visual analytics.

Technical & Other Skills

  • Proficiency in BI solution design, reporting, and data visualization.
  • Strong analytical and problem-solving skills.
  • Effective communication and coordination with business and technical stakeholders.
  • Teamwork and collaboration within data, AI, and BI teams.

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