Qureos Mentor

Boubyan Bank

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 JOB SUMMARY / PURPOSE:
 
 
 
 The Data Analyst will be instrumental in leveraging data to enhance the bank's AI conversation assistants and self-service digital channels. This role focuses on extracting, analyzing, and interpreting digital channel&rsquo;s and conversational data to provide actionable insights that drive process improvements, optimize customer journeys, and support evidence-based decision-making across various business units.
 
 
 
 
 
 
 ROLE AND RESPONSIBILITIES:
 
 
 
 
 
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 Data Collection &amp; Management:
 
 Collect, validate, cleanse, and transform large datasets from various sources, including conversational platforms, and data warehouses, ensuring data accuracy and integrity.
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 Data Ingestion:
 
 Ingest digital channels logs, anonymize/PII scrub, build vectorization pipelines, index maintenance, ETL for analytics and model monitoring data.
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 BI &amp; Reporting Development:
 
 Design, develop, and maintain reports, dashboards, and data visualizations (using tools like Power BI) to track Business KPIs, Conversation analytics, Model performance &amp; quality,Infra &amp; Operations and Compliance &amp; audit reports
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 NLU Performance Review:
 
 Review and analyse the Natural Language Understanding (NLU) performance of AI models to improve conversation flow and accuracy. Perform ad-hoc analyses to inform product priorities (e.g., identify content gaps, high-failure dialogs).
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 Process Improvement:
 
 Identify opportunities for data process improvements, recommend system modifications, and automate reporting workflows to enhance efficiency.
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 Stakeholder Collaboration:
 
 Work closely with cross-functional teams (e.g., AI Product Managers, AI Scientists and AI Engineers) to understand their data needs, gather reporting requirements, and provide analytical support.
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 PREFERRED SKILLS AND QUALIFICATIONS
 
 
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 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Data science, Statistics, mathematics, or a related field.
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 Experience:
 
 Proven experience (3-5 years preferred) as a Data Analyst, BI Analyst or Reporting Analyst, ideally within the banking/financial services industry or working with AI products/digital journey design.
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 Technical Skills:
 
 SQL, Power BI, Python, NLP, ETL
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 -High proficiency in SQL Databases / data warehouse on-prem (Postgres, MongoDB, Oracle, SQL server, Sybase)
 
 
 -Expertise in BI and data visualization tools (e.g., Microsoft Power BI).
 
 
 -Understanding of data warehousing, ETL processes, and database design concepts.
 
 
 -Familiarity with statistical software or programming languages like Python for advanced analytics.
 
 
 -Familiarity with NLP models, LLMs and ML lifecycle (model versioning, inference tagging).
 
 
 -Familiarity with ML observability tools (Grafana integration, MLflow metrics) and model explainability tools.
 
 
 -Familiarity with vector databases (Qdrant/FAISS/ Weaviate), retrieval metrics and conversational analytics tooling.
 
 
 
 
 
 
 Soft Skills:
 
 
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 Strong analytical, problem-solving, and critical-thinking skills with keen attention to detail.
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 Excellent written and verbal communication skills, with the ability to present complex information clearly to diverse audiences.
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 Ability to work independently and collaboratively in a dynamic, fast-paced environment.
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 Proactive mindset and intellectual curiosity about data and emerging AI technologies.
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Data Analyst - Data Analytics & Reporting

Join Boubyan Bank and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Boubyan Bank

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Data Analyst - Data Analytics & Reporting