Enterprise Data Analyst

ACL Airshop

Westknollendam, Netherlands

16 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

€3,750.0 - €5,417.0

Working hours

Regular working hours

Languages

English

Job source

nl.indeed.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Information Systems Extract Transform Load (ETL) Data Visualization Python (Programming Language) Machine Learning Power BI SQL Databases Enterprise Data Management Generative AI

+4 more

Git Information Technology Data Analytics Tools for Reporting

Job description

The Enterprise Data Analyst integrates the technical aspects of AI with the strategic needs of a business. He/she supports data-driven decision-making and operational excellence by analyzing business data, developing dashboards and reporting tools, and leveraging AI-driven solutions to improve processes and develop ULD management products.

Principal Duties & Responsibilities:

Develop and maintain dashboards, KPIs, reports, and data visualization tools.
Prepare, clean, and validate datasets for reporting, dashboards, and AI applications.
Utilizes AI and advanced analytics to model data and enhance ULD management capabilities and processes. Monitors and analyzes model performance.
Partners with the ULD Management team to design and develop new and improve existing ULD management digital solutions and products.
Identifies issues, bottlenecks, and inefficiencies; recommend and implement effective solutions in collaboration with stakeholders.
Develop proof-of-concepts and evaluate AI technologies, including Generative AI and machine learning models.
Works closely with IT and business teams, and external vendors to gather requirements, align AI solutions with business objectives to drive innovation and efficiency.
Manage risks associated with AI implementations, including data privacy, security, and ethical AI considerations
Performs other duties as assigned.

Requirements

Bachelor’s degree in business, Data Analytics, Computer Science, Information Systems, or related fields.
Experience in business and data analytics, business intelligence, or a similar role.
Technical Proficiency. SQL, Python, Power BI, Microsoft Azure tools, API’s, Data modeling and ETL concepts, Generative AI platforms, Git and version control (preferred). Familiarity with AI technologies.
Strong analytical, problem-solving skills with an emphasis on product development.
Ability to collaborate effectively with cross-functional teams and external partners.
Strong business and commercial acumen.
Fluent written and spoken English; other languages are an advantage.