Key job responsibilities:

You will:

• Lead and develop payment metrics: Lead and design reporting solution for Payment metrics for new and existing payment products. Work with Data engineers and Product managers to define reporting needs.
• Built Self-Service BI: Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull most granular data for defect verification, customer communication, deep-dive etc.
• Perform data analysis: Perform deep-dive and data analysis. Provide recommendation on new metrics or business decision.
• Run DSI Analysis: Learn Payment DSI methodology, run DSI ML models created by science team, gather input data, define parameters and publish results to stakeholders.
• Create marketing segmentation and prove-disprove hypothesis: Work with marketing managers on marketing campaign execution and post data analysis.

You are:

• Customer obsessed: You have a sharp business acumen and are passionate about changing the way customers used data to drive success.
• Work independently and comfortable with ambiguity: Work independently on incomplete, unstructured and ambiguous requirements.
• A leader: Manage multiple projects and stakeholders simultaneously. Provide recommendation based on analysis. Make intelligent decisions using data and business priority, guide team's roadmap, help & mentor other teammates. Work across multiple teams to make alignment, create mechanisms and influence team’s roadmap.

BASIC QUALIFICATIONS:

• 3+ years of tax, finance or a related analytical field experience
• 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
• 3+ years of business or financial analysis experience
• Experience defining requirements and using data and metrics to draw business insights
• Experience making business recommendations and influencing stakeholders
• Experience with Excel

PREFERRED QUALIFICATIONS:

• Experience using AWS technologies such as Redshift, S3, EC2, EMR and other data warehouse or data pipeline products.