abra R&D is looking for a Data & AI-Driven Digital Analyst!
Join our innovative digital team in a key role that blends data analysis, automation, and AI integration. As a
Digital Analyst, you’ll be responsible for improving app performance and user experience by leveraging log analytics tools, writing automation scripts, and embedding cutting-edge LLM (Large Language Model) capabilities into internal processes.
Responsibilities:
- Analyze user traffic and behavior patterns across the bank's mobile application using Splunk and advanced log analytics.
- Develop advanced SPL queries and interactive dashboards for real-time service and product monitoring.
- Write and maintain Python-based automation scripts for data analysis and insight generation.
- Build internal AI-driven tools using APIs of leading LLM platforms (e.g., OpenAI, Anthropic, Mistral) to support operational processes such as log investigation, anomaly detection, and incident documentation.
- Incorporate AI capabilities into UX analysis to identify trends, anomalies, and user pain points.
- Improve incident response time by building predictive and real-time analytical tools that assist decision-making.
Requirements:
Must have:
- Proven experience as a Senior Data Analyst with deep understanding of business processes, ability to build and manage databases, and present insights through visual dashboards – Mandatory
- 2–3 years of hands-on experience with Splunk, including complex SPL queries, custom dashboards, reports, and real-time alerts – Mandatory
- 2–3 years of experience with Python for automation and data processing – Mandatory
- Practical experience working with LLM APIs (e.g., OpenAI GPT, Anthropic, Mistral) to build internal tools and decision-support automations – Mandatory
- Experience analyzing production traffic and logs from mobile/web applications – Mandatory
Nice to have:
- Experience developing AI-based solutions within a tech organization – Advantage