Senior, Data Analyst - Advanced Analytics (SQL, Tableau, Business Fluency)

This role is a part of the Decision Sciences, Delivery Data & Analytics. We are a BI team that will support the ecommerce transportation’s daily operations. You will help our users navigate through billions of data so they can take the best decision in a timely manner. You will be working with operations and finance and provide them with the insights they need. You will learn a lot about the business and upgrade your tech skills in this role.

You’ll make an impact from the first day if you have:

• Excellent SQL Skills. Capability to manipulate data from multiple tables while keeping the data integrity (4-6 years)
• Creativity with a User Experience foundation to develop impactful Tableau Dashboards (2-3 years)
• Business Operations Fluency. Capability to understand and root cause a business problem. A Supply Chain background, preferably with Last Mile Delivery or Parcel Deliveries experience.
• Excellent communication skills and ability to work cross-functionally

Responsibilities:

• Work with large, messy, disparate datasets and conduct ad-hoc analyses to quickly inform critical business decisions. Create ETLs or processes that pull data from multiple places and centralize it in one table.
• Develop data visualization to monitor and quantify the impact of changes and unique business challenges.
• Engage with team members and cross-functional teams on a periodic basis and establish credibility. Analyze stakeholder needs and partner with them to share relevant information. This includes partnering with Operations, Finance and Product teams on data accuracy, completeness and latency across multiple operations and systems
• Leverage scripting languages (Python preferred) to automate activities made for reporting (Screenshots, metrics prioritization and outlier recognition)
• Document your processes and share your knowledge with your peers. Mentor your peers as you become a Subject Matter Expert.

Minimum Qualifications:

• Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.
• Advanced SQL and Tableau user

Preferred:

• Advanced experience with SQL and Tableau
• Experience with ecommerce operations or parcel carrier operations
• Experience with Python or other scripting language.
• Experience with data manipulation tools such as Knime, Alteryx, R, Tableau Prep etc.