Industrial IoT Specialist Data Analytics & AI - 16736 - Vara, Sweden

Om jobbet

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Overview

We are looking for an Industrial IoT Specialist

What you will work on

Developing advanced analytics and machine learning models to identify trends and forecast performance

Building and maintaining data pipelines, models, and Power BI dashboards

Delivering real-time operational insights through data visualization

Conducting business process analysis and identifying improvement opportunities

Defining and tracking KPIs for digital and analytics initiatives

Translating complex data into clear, actionable insights for decision-makers

Ensuring data quality, governance, and best practices

Collaborating with operations, supply chain, and IT teams

Supporting colleagues through training, coaching, and knowledge sharing

Driving AI and automation initiatives within operations

What you bring

Bachelor's or Master's degree in Data Science, Engineering, Statistics, Mathematics, Business Analytics, or similar

At least 3+ years of experience in data analytics or business analysis

Strong skills in SQL, Python, Databricks, and Power BI

Hands-on experience with AI/ML models and predictive analytics

Strong analytical and problem-solving mindset

Ability to translate data into business insights and recommendations

Experience working with data pipelines and large datasets

Strong communication and presentation skills

Ability to work both independently and collaboratively

Experience with industrial, manufacturing, or IoT environments is a plus

Experience with similar industrial data platforms and system landscapes is a plus

Fluent English communication skills (spoken and written)