DATA ANALYTICS SPECIALIST

Sanipak; Fatih; Hybrid; TRY 400,000 - 700,000; Full time

Job summary

Sanipak, a leading FMCG player, seeks a data analytics leader to identify opportunities, translate challenges into analytical solutions, and bridge business, analytics, and IT teams. You will drive GenAI initiatives and data-driven decision-making across the organization.

With 3+ years in analytics, you will guide data platforms, warehousing, and enterprise analytics while fostering collaboration and continuous learning in a hybrid work environment.

Qualifications

• Bachelor’s or Master’s degree in a quantified field (statistics, engin., MIS, data science) is required.
• Minimum 3 years of experience in data analytics, business analytics, data science, or related disciplines.
• Strong knowledge of SQL, relational databases, and data modeling concepts.
• Experience with Power BI or similar BI tools.
• Understanding of data warehousing, modern data platforms, and enterprise analytics ecosystems.
• Knowledge of machine learning techniques, analytical modeling approaches, predictive analytics, and AI-driven business applications.
• Familiarity with Generative AI technologies, Large Language Models (LLMs), AI agents, and practical enterprise AI use cases.
• Strong analytical thinking, problem-solving, and structured decision-making skills.
• Experience in project management, stakeholder management, and cross-functional collaboration.
• Strong communication skills and ability to explain technical concepts to non-technical audiences.
• Ability to manage multiple initiatives in a dynamic transformation environment.
• Curiosity about emerging technologies and continuous learning.
• Experience in FMCG, manufacturing, supply chain, commercial analytics, or digital transformation projects is a plus.

Responsibilities

• Identify and prioritize business opportunities that can be solved, improved, or transformed through analytics, artificial intelligence, and data-driven approaches.
• Translate complex business challenges into analytical problems and develop scalable data-driven solutions that create measurable business value.
• Act as the bridge between Business, Analytics, and IT teams across initiatives involving advanced analytics, enterprise data platforms, Industry 4.0, and Generative AI.
• Collaborate closely with business stakeholders to understand requirements, define analytical use cases, and support data-driven decision-making processes.
• Lead data science teams in developing and operationalizing analytical solutions while helping automate intelligent decision-making processes.
• Design, implement, and promote Generative AI and LLM-based solutions that improve productivity, optimize business processes, and accelerate digital transformation.
• Increase data literacy across the organization through communication, presentations, training programs, and stakeholder engagement activities.
• Manage project and demand pipelines end-to-end, ensuring prioritization, scope clarity, stakeholder alignment, and successful delivery.

Skills

Strong analytical thinking

Problem-solving

Communication skills

Cross-functional collaboration

Project management

Stakeholder management

Ability to manage multiple initiatives

Curiosity about emerging technologies

Education

Bachelor’s or Master’s degree in Statistics, Computer Engineering, Industrial Engineering, Mathematics, Management Information Systems, Data Science, or a related field

Tools

Power BI

SQL

Data modeling

Relational databases

Job description

Sanipak has more than 1600 employees. We export our leading brands such as OK, Solo, Selpak, UniBaby and our most preferred brands in the cleaning papers, personal care, home care, baby care and out-of-home categories to more than 80 countries in 5 continents.

What Do We Expect from Our New Team Member?

• Identify and prioritize business opportunities that can be solved, improved, or transformed through analytics, artificial intelligence, and data-driven approaches.
• Translate complex business challenges into analytical problems and develop scalable data-driven solutions that create measurable business value.
• Act as the bridge between Business, Analytics, and Information Technology teams across initiatives involving advanced analytics, enterprise data platforms, Industry 4.0, and Generative AI.
• Collaborate closely with business stakeholders to understand requirements, define analytical use cases, and support data-driven decision-making processes.
• Lead data science teams in developing and operationalizing analytical solutions while helping automate intelligent decision-making processes.
• Design, implement, and promote Generative AI and LLM-based solutions that improve productivity, optimize business processes, and accelerate digital transformation.
• Increase data literacy across the organization through communication, presentations, training programs, and stakeholder engagement activities.
• Manage project and demand pipelines end-to-end, ensuring prioritization, scope clarity, stakeholder alignment, and successful delivery.

What Kind of Teammate Are We Looking For?

• Bachelor’s or Master’s degree in Statistics, Computer Engineering, Industrial Engineering, Mathematics, Management Information Systems, Data Science, or a related field.
• Minimum 3 years of experience in data analytics, business analytics, data science, or related disciplines.
• Strong knowledge of SQL, relational databases, and data modeling concepts.
• Experience with Power BI or similar business intelligence and data visualization platforms.
• Understanding of data warehousing, modern data platforms, and enterprise analytics ecosystems.
• Knowledge of machine learning techniques, analytical modeling approaches, predictive analytics, and AI-driven business applications.
• Familiarity with Generative AI technologies, Large Language Models (LLMs), AI agents, and practical enterprise AI use cases.
• Strong analytical thinking, problem-solving, and structured decision-making skills.
• Experience in project management, stakeholder management, and cross-functional collaboration.
• Strong communication skills with the ability to explain technical concepts to non-technical audiences.
• Ability to manage multiple initiatives simultaneously in a dynamic and transformation-driven environment.
• Curiosity about emerging technologies, continuous learning, and innovation.
• Experience in FMCG, manufacturing, supply chain, commercial analytics, or digital transformation projects is considered a plus.

What's in it for you at Sanipak?

• A strategic role at the heart of the organization’s Data, Analytics, and Artificial Intelligence transformation journey.
• The opportunity to work on high-impact projects that directly influence business decisions and operational performance.
• Hands-on experience with cutting-edge technologies including Generative AI, AI Agents, Industry 4.0, Advanced Analytics, and Enterprise Data Platforms.
• Exposure to end-to-end analytics initiatives spanning business, technology, and data domains.
• Training, certification, and continuous development opportunities in analytics, AI, data governance, cloud technologies, and project management.
• A collaborative environment where innovation, learning, and experimentation are encouraged.
• A hybrid career path that combines business acumen, data expertise, and emerging technologies.
• The opportunity to shape the future of data-driven decision-making across the organization.