Qureos

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Data and Analytics Leader

Istanbul, Turkey

Since its establishment in 1998, Çalık Enerji has been delivering energy from nature to people across a wide geography including the CIS countries, the Middle East, Central Asia, Africa, and the Balkans. Through its successful projects, the company aims to create a better and more sustainable future and ranks among the world's leading energy companies.

Çalık Enerji continues its operations in Romania, Turkmenistan, Uzbekistan, Iraq, and Senegal in the areas of EPC Contracting Operations, Distribution-Retail, and Renewable Energy Investments.


We are currently looking for a Data and Analytics Leader to be based at our Istanbul Head Office.


QUALIFICATIONS

  • Graduated from relevant departments of universities,
  • Minimum 10 years of experience in data management and analytics,
  • Proven leadership in large-scale data projects,
  • In-depth knowledge of modern data technologies (Hadoop, Spark, Kafka, etc.),
  • Experience with cloud data platforms (Azure, AWS, GCP),
  • Expertise in SQL, Python/R, and data visualization tools,
  • Strong business intelligence and strategic thinking skills,
  • Strong communication skills and a team-oriented mindset.


JOB DESCRIPTION

  • Develop the corporate data strategy and vision,
  • Establish the data governance model, define data ownership and responsibilities,
  • Design and implement a Master Data Management (MDM) strategy; set data quality standards and SLAs,
  • Manage the data lifecycle,
  • Design modern data architecture (Data Lake, Data Warehouse),
  • Manage data integration strategy and tools; implement real-time data processing infrastructure,
  • Develop strategy for cloud data platforms (Azure, AWS, GCP); optimize data pipelines,
  • Conduct performance and capacity planning,
  • Establish and manage self-service BI platforms,
  • Define standards for dashboards and reporting; develop predictive and prescriptive analytics use cases,
  • Establish a Data Science Center of Excellence (CoE) and manage the analytics model lifecycle,
  • Turn business insights into actionable outcomes,
  • Define and implement data security policies,
  • Manage KVKK/GDPR compliance processes; define data classification and sensitivity levels,
  • Set up access control and authorization matrices; implement data masking and anonymization strategies,
  • Coordinate security audits,
  • Build and develop the data team,
  • Conduct performance evaluations and career planning; enhance technical competencies,
  • Manage data literacy programs and ensure coordination of data projects with stakeholders.

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