Senior Data Analyst

Summary

DATA ANALYST with progressive professional experience providing unique data solutions to deliver actionable insights, dashboards, and analyses.
* Utilize Python to build custom modules + write, execute, maintain DAGs using Apache Airflow and Github.
* Build critical data pipelines using ETL: Extract with JSON, Transform with SQL & Python, Load with Github & Airflow into BigQuery.
* Create intuitive, UX friendly reports and dashboards in Data Studio + Sisense to empower Operations teams with KPI monitoring and real-time alerts.
* Deliver successful projects providing savings for the business, including: Mass report migration from Redshift to BigQuery, Automation of month-end Logistics processes, FedEx shipping expense negotiation.
* Complete deep dive analysis, including: Transit Times, Customer Satisfaction (CSAT), Net Promoter / Detractor Score (NPS / NDS), Late holiday shipments.
* Value adds: Coordinate co-workers to volunteer, frequent attendee and contributor to office events, brew office coffee daily with brew haiku sticky notes to inspire and delight.

Expectations

1. Serve as a "service organization within the organization" to build / maintain / improve a legacy Data Analytics platform.
2. To work with, learn from, and empower incredible people.
3. To channel my energy and career path to help make the world a better place.

Employment Preferences

Expected Base Salary

**0,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• SQL
• Python
• ETL
• ELT
• BigQuery
• Sisense
• Periscope
• Tableau
• Airflow
• Github
• KPI
• Operations
• Customer Success
• Fulfillment
• Supply Chain
• Logistics
• JSON
• CSAT
• NPS
• NDS
• Transit Times
• Excel
• Powerpoint
• StandardSQL
• PostgreSQL
• Postgres
• Data Analytics
• Analytics Engineer
• Data Analyst
• Analyst
• Data
• Engineer
• Redshift
• Senior Data Analyst
• Senior Analytics Engineer
• Leadership
• Foreman
• Foreperson
• Manager