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BI Specialist 1 at The businesses of Merck KGaA, Darmstadt, Germany
Bogota, Capital District, RAP (Especial) Central, Colombia -
Full Time

Start Date

Immediate

Expiry Date

03 Apr, 26

Salary

0.0

Posted On

03 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Power BI, SQL, Python, AI, Data Analysis, ETL, Data Visualization, Data Standardization, Business Intelligence, Cross-Functional Collaboration, Training, Data Quality, Process Improvement, Exploratory Analysis, Predictive Analysis, Market Research

Industry

Pharmaceutical Manufacturing

Description
You will create value through smart use of data and digital tools, designing and managing customer‑centric BI solutions. Your work will support decision-making by ensuring high‑quality data, efficient processes, and impactful visualizations. Your Rol Develop, maintain, and optimize Power BI dashboards and reports. Perform exploratory and predictive analyses to identify trends and business opportunities. Integrate and transform data from multiple sources; manage ETL processes to ensure accuracy and availability. Support cluster-level data standardization, ensuring alignment across markets. Improve BI processes, tools, and methodologies to enhance data quality and efficiency. Collaborate with cross‑functional teams and provide training on BI tools and data usage. Who You Are Degree in Business Administration, Industrial Engineering, Systems Engineering, or related fields. 3+ years of experience, including 2–4 years working with databases. Strong skills in Power BI; desirable knowledge in SQL, Python, and AI. Intermediate–advanced English. Strong communication skills and willingness to learn. Preferably familiar with market research.
Responsibilities
You will develop, maintain, and optimize Power BI dashboards and reports while performing exploratory and predictive analyses to identify trends and business opportunities. Additionally, you will integrate and transform data from multiple sources and manage ETL processes to ensure data accuracy and availability.