Uber Sales Operations Lead Uber Business 

United States, West Virginia 

434425186

What the Candidate Will Do

• Develop robust reporting frameworks and data infrastructure to support the analytical needs of the Insights and Analytics team at U4B.
• Designing and implementing data pipelines, and data modeling, developing and implementing machine learning models to predict and optimize seller behavior.
• Help build a data foundation to scale some of the core projects for SOP's including Forecast, Seller Productivity, and Ramping.
• Serve as a single point of contact for managing the offshore team located in India. This involves overseeing their day-to-day activities, building a roadmap, and ensuring alignment with project goals and timelines.
• Build out reporting with Tableau for self-serve analytics. Work closely with data engineering and cross-functional partners to integrate data from multiple sources into Tableau and ensure data accuracy and consistency. Continuously optimize and improve Tableau dashboards for performance, usability, and scalability.

What the Candidate Will Need

• Minimum of 6-8 years of experience in data analysis, preferably in a fast-paced B2B environment. STEM is a must.
• Advanced SQL and Python skills to manage large sets of unstructured data and synthesize them into business insights using Excel or Google Suite. Advanced Analytics (regression analysis, clustering, classification, and time series forecasting).
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib/seaborn for creating insightful visualizations.
• Familiarity with big data technologies such as Hadoop, Spark, or Hive for handling large datasets. Knowledge of cloud platforms like AWS, Azure, or Google Cloud for data storage, processing, and analysis.
• Successfully implementing machine learning models in seller behavior learning that deliver measurable value to the organization.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .