Data Analyst - Digital Banking

SeaMoney

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Job Summary

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Analytics pySpark SQL Python

Job Description

Job Description

Work closely with stakeholders to understand their needs/ pain points, translate them into data analytics problems, and provide/implement actionable analytics solutions.
Be a subject matter expert in banking business and data. Consolidate data from multiple sources to create integrated views that can be used to drive decision-making
Conduct ad-hoc analysis and/or suitable visualization of business issues
Design, automate, and maintain mission-critical dashboards for our business units using SQL and/or Pyspark
Support the campaign events, including the pre-campaign audience selection, in-campaign tracking, and post-campaign evaluation.

Requirements

Bachelor’s degree and above in Computer Science/Engineering, Business Analytics, Information Technology, Finance/Banking, Statistics and other related fields
3 ~ 7 years of experience in analytical roles and familiar with Python and SQL
Experience in implementing analytical insight and/or predictive model into the business process is preferred
Strong passion for data analysis by taking related courses, participating DA/DS competition or developing projects in Github continuously is preferred
Experience of business intelligence/marketing analytics in e-commerce/FinTech industry is a plus
Strong project management and communication skills

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