Description
Develop and maintain analytics dashboards and reports.
Develop and maintain data pipelines, ETL/ELT processes, and data integrity (ingesting, transforming, and aggregating data).
Develop and maintain data applications (both frontend and backend).
Develop and maintain GenAI/ML solutions to solve business problems (ingesting, embedding, and serving).
Analyze customer behavior, perform predictive analytics, and provide ad-hoc analysis to support business decisions.
Monitor key metrics and proactively alert the business to potential issues.
Uphold data governance, security, and privacy standards across markets (e.g. access control, PII handling).
Document pipelines, models, and applications, and partner with stakeholders to gather requirements and translate them into technical solutions.
Job Requirements:
Bachelor's / Master's degree in Data Science, Computer Science, Analytics, Engineering, or a related discipline, with a minimum of 2–3 years' experience in a similar role.
Strong SQL, Python, and R/Shiny skills.
Experienced with cloud-native platforms (AWS preferred) and modern data architectures.
Experience developing data applications and data pipelines (highly preferred).
Experience with GenAI technologies, RAG and Graph-RAG architectures, vector databases, and API development.
Strong curiosity and a willingness to continuously learn and adopt new technologies, tools, and analytical methods.
Able to multitask and prioritize across multiple projects and ad-hoc requests.
An effective communicator to both technical and business audiences.
Experience in Marketing, E-Commerce, Retail or Operations analytics, GenAI project delivery, AI certifications, and familiarity with BI tools, dashboarding frameworks, analytical databases (e.g. Apache Doris, ClickHouse), containerization and infrastructure-as-code (e.g. Docker, AWS Lambda) will be a plus.