Senior Data Analyst

Bellevue, WA

Applications have closed

Flexport

Cut costs, automate workflows, reliably move goods, go carbon-neutral, and improve your supply chain from end to end. It all starts here.

View company page

Build the platform that powers global trade

The opportunity

Flexport’s Ocean Consolidation Services Data Intelligence team is building datasets, insights, and platforms to define, plan and operate logistics solutions to enable global trade for everyone. We move fast, iterating quickly on big business problems. Leveraging the largest data set for logistics products and services sold in the industry, this team treats data as an asset and determines how to maximize its business value and extend our competitive advantage.

This role requires an individual with excellent analytical abilities, outstanding business acumen and exceptional written and oral communication skills. The successful candidate will have a strong understanding of different business models and the underlying analytics, and the ability to assimilate new methodologies and data sources. They will be a self-starter comfortable with ambiguity, with strong attention to detail, be vocally self-critical, and with an ability to work in a fast-paced and ever-changing environment. They recognize that the true measure of the work product is the business impact it has..

At their core, Data Analysts at Flexport are strong technical individuals who enjoy working with large data sets. They are comfortable working with both business users and other engineers to develop tools and datasets enabling self-service analytics. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance.

You will:

  • Partner with the program team to create key performance indicators and new methodologies for measurement. 
  • Understand drivers, impacts on key influences on business dynamics and productivity. 
  • Translate data into actionable insights for the stakeholders. 
  • Automate reporting for weekly business metrics; identify areas of opportunity to automate and scale ad-hoc analyses.

You should have:

  • Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field.
  • 5+ years of relevant experience in a business analyst/data analyst/statistical analysis role.
  • Understanding of data warehousing and data modeling.
  • Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.).
  • Experience extracting and processing data using SQL
  • Excellent communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams.
  • Ability to deal with ambiguity and competing objectives in a fast paced environment.
  • Software development experience / Coding knowledge

About Flexport:

At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make it easy and accessible for everyone. We’re shaping the future of a $8.6T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. 

The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. At a valuation of $8B, we’re experiencing record growth and are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.

Worried about not having any logistics experience?

Don’t be! Our mission is to make global trade easy for everyone. That’s why it’s important to bring people from diverse backgrounds and experiences together with our industry veterans to help move the global logistics industry forward.

We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success. 

At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.

To learn more about what our tech teams have been up to, head to the Engineering Blog.

#LI-Hybrid

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Our salary ranges are determined by role, level, and location. Within the range displayed, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education and / or training. The US base salary range for this full-time position: (exclusive of bonus, equity and benefits.)$110,790—$135,410 USD

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Data Warehousing Engineering Mathematics Python R SAS SPSS SQL Statistics

Perks/benefits: Competitive pay Equity Health care Salary bonus

Region: North America
Country: United States
Job stats:  10  4  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.