Supply Chain Data Analyst (Finance)
We're looking for a Supply Chain Data Analyst to join our Planning Analytics team. This role is ideal for someone who thrives on solving business problems with data - from automating manual processes to building dashboards that deliver real-time visibility to decision-makers.
You'll be hands-on across the full BI lifecycle: pulling data from multiple sources, transforming it in Databricks, pushing it to Redshift, and building Tableau dashboards. This role is heavily focused on business intelligence, but we're also beginning to explore machine learning opportunities - and we want someone who's excited to grow in that direction.
If you're a self-starter who enjoys working with data, building scalable pipelines, and making an impact, we'd love to talk.
What You'll Do
- Develop and maintain automated data pipelines using Databricks (Python, Spark, SQL).
- Create Tableau dashboards and data products to support NAM Planning and cross-functional stakeholders.
- Translate business requests into scalable solutions, with a focus on usability, performance, and value.
- Manipulate and join large datasets from multiple source systems to produce curated datasets in Redshift.
- Perform exploratory data analysis to uncover trends, bottlenecks, and opportunities in our supply chain.
- Collaborate with peers in Supply Chain, IT, and Finance to standardize metrics and align on data sources.
- Assist in early-stage machine learning and predictive analytics projects as we expand our scope.
What We're Looking For
- Strong experience in BI development, especially using Databricks and Tableau.
- Solid coding skills in Python and SQL with experience handling large, messy datasets.
- Familiarity with supply chain planning data (e.g., backlog, forecast, inventory) is a plus.
- Clear communicator with strong data intuition and business acumen.
- Interest or experience in machine learning (classification, time series) is a plus, not a must-have
- Languages: Python, SQL, Spark
- Platforms: Databricks, Redshift
- Visualization: Tableau
- Other Tools: Git, Excel (when necessary)
Why This Role
- You'll own impactful projects and help streamline how we make decisions across the supply chain.
- You'll join a team that values autonomy, creativity, and collaboration.
- You'll have room to grow into more advanced analytics and machine learning work over time.
Looking to make an IMPACT with your career?
When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.
IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.
We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.
Become an IMPACT Maker with Schneider Electric - apply today!
€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.We're looking for a Supply Chain Data Analyst to join our Planning Analytics team. This role is ideal for someone who thrives on solving business problems with data - from automating manual processes to building dashboards that deliver real-time visibility to decision-makers.
You'll be hands-on across the full BI lifecycle: pulling data from multiple sources, transforming it in Databricks, pushing it to Redshift, and building Tableau dashboards. This role is heavily focused on business intelligence, but we're also beginning to explore machine learning opportunities - and we want someone who's excited to grow in that direction.
If you're a self-starter who enjoys working with data, building scalable pipelines, and making an impact, we'd love to talk.
What You'll Do
- Develop and maintain automated data pipelines using Databricks (Python, Spark, SQL).
- Create Tableau dashboards and data products to support NAM Planning and cross-functional stakeholders.
- Translate business requests into scalable solutions, with a focus on usability, performance, and value.
- Manipulate and join large datasets from multiple source systems to produce curated datasets in Redshift.
- Perform exploratory data analysis to uncover trends, bottlenecks, and opportunities in our supply chain.
- Collaborate with peers in Supply Chain, IT, and Finance to standardize metrics and align on data sources.
- Assist in early-stage machine learning and predictive analytics projects as we expand our scope.
