Banking Insights Analyst - Data Storyteller (On-site UAE)

Crayon Data Pte Ltd.

Abu Dhabi

On-site

AED 250,000 - 420,000

Full time

14 days+
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Job summary

Crayon Data is seeking a Data Analyst and Banking Insights Specialist in Abu Dhabi to support a bank’s Command Unit. You will identify and communicate high-impact insights from large banking datasets, working with senior leadership to drive decisions.

The role requires 4–7+ years in data analytics, strong SQL/Python skills, and experience with Power BI/Tableau. This is an on-site UAE opportunity, collaborating with cross-functional teams across analytics, data engineering and technology.

Qualifications

  • 4–7+ years of experience in data analytics or insights roles.
  • Strong hands-on SQL and Python, including large datasets.
  • Experience analysing banking or financial-services data.
  • Knowledge of Power BI, Tableau or similar visualization tools.
  • Exposure to Azure, AWS, Databricks, Cloudera or Spark.

Responsibilities

  • Analyse large-scale banking datasets across customer behaviour, deposits, cards, lending, transactions, channels and operations.
  • Identify trends, anomalies, risks and growth opportunities for senior management.
  • Develop insights on customer acquisition, engagement and attrition; balance and revenue movements.
  • Translate data findings into actionable recommendations for CXO-level audiences.
  • Create management-ready presentations and visualisations.

Skills

SQL
Python
Storytelling
Communication

Tools

Power BI
Tableau
Azure
AWS
Databricks
Cloudera
Spark

Job description

Crayon Data is seeking a Data Analyst and Banking Insights Specialist in Abu Dhabi to support a bank’s Command Unit. You will identify and communicate high-impact insights from large banking datasets, working with senior leadership to drive decisions.

The role requires 4–7+ years in data analytics, strong SQL/Python skills, and experience with Power BI/Tableau. This is an on-site UAE opportunity, collaborating with cross-functional teams across analytics, data engineering and technology.

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