Data and Reporting Specialist

About the role

Design, build, and maintain scalable data infrastructure that supports advanced analytics, ensures data quality, and drives data‑driven decision‑making. The role covers data pipeline development, quality assurance, analysis, visualization, and collaboration to deliver projects and support business growth.

Key responsibilities

• Build and maintain robust, scalable data pipelines to support analytics teams.
• Develop and sustain ETL processes that ingest and transform data from diverse sources while ensuring data integrity and cleanliness.
• Implement and manage data‑warehousing solutions to enable easy access for analysis and reporting.
• Uphold robust security measures to ensure data confidentiality and integrity.
• Research and adopt cutting‑edge technologies to improve data reliability, efficiency, and quality.
• Implement systems for monitoring data quality, ensuring accurate and up‑to‑date analytics.
• Collaborate with stakeholders to refine data models and enhance data quality for complex analytics.
• Translate complex data into clear, actionable insights for internal and external stakeholders.
• Develop compelling visualizations to support informed decision‑making and promote a data‑driven culture.
• Deliver accessible, impactful findings to guide strategic decisions.
• Provide actionable next steps to guide clients' BI journeys.

Required profile

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum 3 + years of experience in data engineering, ETL development, or related roles.
• Strong problem‑solving and analytical abilities.
• Excellent communication skills, able to explain complex concepts to non‑technical stakeholders.
• Proven ability to deliver solutions on time and work collaboratively in cross‑functional teams.
• Strong attention to detail and commitment to high data‑quality standards.
• Experience working with Git throughout the product lifecycle.

Required skills

• SQL
• PowerBI
• ETL development
• Data warehousing
• MS Fabric
• Git
• Python (bonus)