Drive business growth through advanced data analytics, AI innovation, and robust data architecture in this key technical role.
Key Responsibilities
- Develop and maintain analytics dashboards and reports.
- Develop and maintain data pipelines, ETL/ELT processes, and data integrity by ingesting, transforming, and aggregating data.
- Develop and maintain data applications for both frontend and backend systems.
- Develop and maintain GenAI/ML solutions to solve business problems through ingesting, embedding, and serving data.
- 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 including access control and PII handling.
- Document pipelines, models, and applications while partnering with stakeholders to gather requirements and translate them into technical solutions.
Job Requirements
- You must possess a Bachelor's or Master's degree in Data Science, Computer Science, Analytics, Engineering, or a related discipline.
- Candidates should have a minimum of 2–3 years of professional experience in a similar data-focused role.
- You must demonstrate strong proficiency in SQL, Python, and R/Shiny development.
- You are required to have practical experience with cloud-native platforms, specifically AWS, and modern data architectures.
- You must be capable of developing sophisticated data applications, data pipelines, GenAI technologies, RAG architectures, and API integrations.
- You should possess strong communication skills to effectively bridge the gap between technical teams and business stakeholders.
- You must be able to multitask and prioritize effectively across multiple concurrent projects and ad-hoc requests.
Job Details
