Senior Data Analyst
Role details
Job location
Tech stack
Job description
Use in-depth knowledge of USPS operations, processes, and datasets to perform (or help others perform) the following:
- Collect, clean, transform, and analyze complex datasets.
- Validate the data to ensure it is consistent and of sufficient quality.
- Troubleshoot data issues and answer client questions as they arise.
- Create and/or update cost models, provide support for pricing changes and initiatives, regulatory reporting, and/or productivity measurements.
- QC employees work. Ensure data/reports provided to clients are accurate and sent in a timely manner.
- Document analytical processes to ensure knowledge sharing and transparency.
-
Understand process/project inputs, outputs, and intricacies. Convert USPS business requirements into technical/project requirements for the team.
-
Lead monthly, quarterly, and annual processes and projects. Mentor/train employees, provide coaching, feedback (positive and constructive), and guidance on tasks/projects.
-
Identify, recommend, and implement process improvements and efficiencies, often of a complex nature.
-
Build and maintain strong working relationships with clients. Assess and anticipate their needs. Answer and respond to complex client questions and independently resolve issues.
-
Partner with Data Engineers and other team members to ensure data standards and best practices are being met and data infrastructure supports analytical needs.
Requirements
Do you have experience in Training & development?, Do you have a Bachelor's degree?, Bachelor's or master's degree in computer/data science, data analytics, economics, or similar with a history of strong academic performance.
-
7+ years progressively responsible work experience that includes:
-
Managing projects project resources, and clients.
-
Extensive programming experience in Python and SQL.
-
Analyzing, managing, and maintaining large datasets.
-
A successful track record of solving complex problems and continuous process improvement.
-
A deep understanding of logistics or shipping industries strongly preferred (e.g., USPS, FedEx, UPS, etc.).
-
Strong business acumen and a desire to progress into a leadership role.
-
Analytically and technically minded with the aptitude, ability, and interest in solving complex problems and learning new things.
-
Advanced knowledge in data analysis concepts (e.g., data cleaning, aggregation, interpretation, visualization, etc.).
-
Proficient in the Microsoft Office Suite. Advanced knowledge of software used for data manipulation (e.g., Python, SQL, SAS, Excel, or similar). Experience working with visualization tools is preferred (e.g., Power BI, Tableau).
-
Strong communication skills (verbal and written), organizational skills, and a rigorous attention to detail.
-
Able to work independently and as part of a team in a deadline-driven environment while handling multiple competing priorities.
-
Experience working in a data warehouse environment is a plus.
-
Candidates must be legally authorized to work in the U.S. for any employer. We are unable to sponsor individuals for a work visa or other employment authorization at time of hire or in the future (e.g., H-1B, green card, etc.).
-
Successful completion of a federal security clearance including drug screen and background check is required.
-
Candidates must be willing and able to work in our Madison, Wisconsin office. This is not a remote position.
Benefits & conditions
Pulled from the full job description
- AD&D insurance
- 401(k)
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance
- Paid sick time, Competitive compensation and benefits package. We offer a competitive total rewards package with health, dental, vision, life/AD&D, and long-term disability insurance as well as a 401k and Employee Stock Ownership Plan (ESOP) with generous company contributions. In addition, you will receive paid holidays, vacation, sick, and personal time., * 401(k)
- Dental insurance
- Disability insurance
- Flexible schedule
- Flexible spending account
- Health insurance
- Life insurance
- Paid holidays
- Paid sick time
- Paid time off
- Vision insurance