Data Analytics Specialist

Nobel Ilac A.S; Ümraniye; On-site; TRY 300,000 - 520,000; Full time

Job summary

Nobel Ilac A.S. in Turkey seeks a Senior BI professional to lead end-to-end BI programs, from data modeling and DWH design to visual storytelling in Power BI.

You will partner with business units to define KPIs, optimize ETL pipelines, analyze datasets for trends, and deliver actionable insights to support strategic decisions. With 5+ years of BI experience and strong SQL, you'll manage projects independently and collaborate with diverse teams across Türkiye.

Qualifications

• 5+ years hands-on BI and data warehousing experience.
• Strong SQL skills and data warehouse design experience.
• Proven track record in creating advanced reports and dashboards (Power BI preferred).
• Experience with diverse data sources.
• Proficiency in Python or R for advanced analysis.
• Experience with cloud-based data solutions is a plus.
• Knowledge of ML techniques is a plus.

Responsibilities

• Lead end-to-end BI programs including data modeling and DWH architecture.
• Partner with business units to define KPIs and translate requirements into data solutions.
• Design, maintain and optimize ETL to collect and clean large datasets from diverse sources.
• Analyze data to identify trends and provide actionable insights for decisions.
• Create visual dashboards in Power BI for technical and non-technical audiences.
• Manage analytical projects independently, prioritizing by impact and urgency.

Skills

SQL

Power BI

Data Warehousing

ETL

Data modeling

Education

Bachelor’s or MS in CS/Stats/Math/Ind Eng

Tools

SSIS

Power BI

SAP S/4HANA

IQVIA

APIs

Python

R

Job description

In this role, you will be responsible for all Business Intelligence and Data Analytics processes and will report to the Business Intelligence Executive.

What You’ll Be Doing?

• Leading end-to-end development of Business Intelligence programs, including data modeling, DWH architecture, and visualization using SSIS and Power BI,
• Partnering with business units to identify operational pain points, define KPIs, and translate complex business needs into scalable data solutions,
• Designing, maintaining, and optimizing ETL processes to collect and clean large datasets from diverse sources (SAP S/4HANA, IQVIA, APIs, SQL), ensuring data integrity and accuracy,
• Analyzing complex datasets to identify trends, patterns, and opportunities, providing actionable insights to support strategic decision-making,
• Creating compelling visual stories and interactive dashboards in Power BI to communicate findings effectively to both technical and non-technical audiences,
• Managing analytical projects independently, prioritizing tasks based on business impact and urgency.

Which Profile Are We Looking For?

• Bachelor’s or MS degree in Computer Science, Statistics, Mathematics, Industrial Engineering or related fields,
• Minimum 5 years of hands-on experience in Business Intelligence and Data Warehousing environments,
• Strong proficiency in SQL and deep experience in data warehouse design/redesign projects,
• Proven track record in creating advanced reports and dashboards, preferably using Power BI,
• Experience working with various data sources,
• Preferably proficiency in Python or R for advanced data analysis and statistical modeling,
• Experience with cloud-based data solutions is a plus,
• Basic to intermediate knowledge of ML techniques.

Nobel’s proven excellence in the global pharmaceutical sector is driven by the dedication and expertise of our people. Since 1954, we have grown from our roots in Türkiye into a global pharmaceutical company, thanks to the dedication and expertise of nearly 5,000 colleagues.

We operate 5 R&D and production hubs across Türkiye, Kazakhstan, and Uzbekistan, and our presence spans 24 countries with dedicated local teams. Our multicultural and multinational colleagues embody our global presence, ensuring that our products reach patients in more than 50 countries.

What unites us is our mission: Health for All, Access for All. Every day, we work with passion to improve the quality of human life because at Nobel, every contribution makes a difference.