Senior Data Analyst, Global Logistics (P-4026)

Key Skills

Data Analytics, Data science techniques, PowerBI, Python Programming, R Programming, SQL, Supply Chain Management, Tableau

Job Description

We are seeking a Senior Data Analyst to be part of our Global Logistics team. This position will play a crucial role in driving our global logistics strategy through data-driven insights and solutions. We are looking for a detail-oriented individual with a passion for optimizing logistics operations and improving supply chain efficiency on a global scale. You will be at the forefront of collecting, analyzing, and visualizing data to enhance transportation processes, inventory management, and supplier performance. By collaborating with cross-functional teams, you will contribute to key decision-making processes.

What will you be doing:

• Collecting, aggregating, and analyzing data from various sources to provide insights into global logistics operations, including transportation, customs clearance processes, inventory management, and supplier performance.
• Developing and maintaining dashboards, reports, and visualizations to monitor key logistics metrics and KPIs on a global scale, providing insights to support decision-making.
• Identifying trends, patterns, and opportunities for improvement in global logistics processes through data analysis techniques, contributing to operational efficiency and cost optimization initiatives.
• Collaborating with cross-functional teams and stakeholders to understand logistics requirements and provide data-driven recommendations for process improvements.
• Assisting in the development and implementation of data-driven solutions to optimize logistics operations and enhance customer satisfaction.
• Staying informed about international trade regulations and industry trends to support logistics operations and decision-making.
• Conducting ad hoc analysis on projects to address specific business challenges or opportunities related to global logistics.

Minimum Requirements:

• Bachelor’s degree in data science, Statistics, Computer Science, Business Analytics, or a related field.
• 7 years of experience in a data analysis role, preferably with exposure to logistics or supply chain analytics.
• Proficiency in SQL, Python, R, or other programming languages for data manipulation and analysis.
• Strong analytical skills with the ability to translate data into actionable insights.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Skills and Background:

• Experience in logistics or supply chain management.
• Understanding of international logistics concepts, including transportation management, customs clearance, and trade compliance.
• Familiarity with data visualization tools such as Tableau, Power BI, or Retool.
• Certification or coursework in supply chain management, data analysis, or related fields.

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.