Data Analytics Intern

Job Title

Job Description

We’re looking for a Data Analytics Intern to join our SC Data Analytics & Automation team.

Working for Signify means being creative and adaptive. Our culture of continuous learning and commitment to diversity and inclusion creates an environment that allows you to build your skills and career. Together, we’re transforming our industry.

As the world leader in lighting, we’re constantly ahead of the curve. Through our leadership in connected lighting and the Internet of Things, we’re breaking new grounds in data analytics, AI, and smart homes, offices, cities and more!

Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.

As a Data Analytics Intern, you’ll have the unique opportunity to work on impactful projects by contributing to our roadmaps while gaining hands-on experience in a dynamic and collaborative environment. Join us in an international team at the forefront of data-driven innovation, harnessing analytics and automation solutions to shape the digital future of our supply chain.

We’re on the lookout for forward-thinking innovators with a passion for sustainability. If you match this description, get in touch!

What you’ll do

• Drive Efficiency: Collaborate in the design and development of innovative data analytics projects, generating valuable insights that enhance our operational supply chain performance

• Leverage AI/ML Technologies: Support in the implementation of AI and machine learning models to uncover hidden patterns and predictive insights from diverse datasets, driving informed decision-making across the organization

• Support Data Solutions: Provide top-tier support and swift troubleshooting for our existing data analytics solutions, ensuring seamless operations and data integrity

• Unleash Your Skills: Utilize your technical data analytics and automation skills to extract and analyze insights, contributing to the advancement of our AI/ML initiatives

• Contribute to Innovation: Participate in shaping our data analytics and automation roadmaps, helping us stay ahead in the rapidly evolving field of analytics and AI

• Stay Ahead of the Curve: Keep abreast of emerging technologies and best practices in data analytics, AI, and automation to bring fresh ideas and solutions to the team

Your qualifications

• Studying a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field

• Strong programming skills in SQL and Python with curiosity about new technologies & solutions

• Basic understanding of data modeling and database management (Snowflake)

• Skilled in Power BI for data visualization with keen attention to designing visually appealing and informative dashboards

• Team player, hands-on mentality with strong communication and problem-solving skills

• Knowledge about Agile project management, strong quality mindset by reliably delivering sprints according to committed user stories

Our candidate profile is just a guide. We know that many talented people only apply for jobs when there is an exact match. If you don't fit all the criteria but believe this role is for you, we would very much like to hear from you.

What you’ll get in return…

• Competitive remuneration

• Strong career development opportunities with access to a personalized learning platform, free trainings, and coaching

• Working in an international team at the forefront of Data Analytics with colleagues around the world

• Hands-on experience and opportunity to kickstart your career with Signify

We’re offering multiple opportunities for career development, like mentoring, coaching and stretch assignments, with strong international exposure for dynamic profiles. Learning is fundamental to our culture. Through continuous learning, we are transforming the industry. You have the chance to learn every day, acquire new skills and perspectives through customized online programs, and on-the-job experiences.

See #SignifyLife through the eyes of our employees!