Data Analyst

Expleo Group; Sharjah; On-site; AED 100,000 - 130,000; Full time

Job summary

A leading consulting firm in Sharjah is seeking a Data Analyst to provide critical insights and dashboards for banking operations. The successful candidate will work with financial datasets, collaborating with stakeholders to define KPIs and performing in-depth data analysis. Proficiency in SQL, Excel, and BI tools like Power BI or Tableau is essential, alongside strong statistical skills. This role aims to enhance data quality and improve decision-making processes across banking sectors.

Qualifications

• Experience in exploratory data analysis and trend identification.
• Strong knowledge of SQL and advanced Excel skills.
• Proficiency in BI tools such as Power BI or Tableau.

Responsibilities

• Deliver accurate insights and dashboards to support banking decisions.
• Collaborate with stakeholders to define relevant KPIs.
• Conduct exploratory analysis to identify trends in financial data.

Skills

Exploratory Data Analysis

SQL

Excel (advanced)

Power BI/Tableau

Python/R

Descriptive and inferential statistics

Stakeholder communication

Data profiling

Tools

BI tools

Python

R

Job description

The Data Analyst will work with banking datasets to deliver accurate insights, dashboards, and reports that support business decisions across retail, corporate, and digital banking operations.

Responsibilities:

• Collaborate with stakeholders to define KPIs and metrics relevant to banking (e.g., loan performance, deposit growth, and risk indicators).
• Perform data wrangling and validation across multiple banking systems (core banking, cards, and CRM).
• Conduct exploratory analysis to identify trends and anomalies in financial data.
• Build dashboards and reports for recurring and ad hoc requirements using BI tools.
• Apply statistical techniques for forecasting and performance analysis.
• Document methodologies, maintain data dictionaries, and ensure transparency in calculations.
• Present insights through clear narratives and visualizations for business and leadership teams.

Key Outcomes:

• Timely delivery of accurate dashboards and reports.
• Improved decision-making through actionable insights.
• Enhanced data quality and consistency across banking systems.

Requirements:

• Exploratory Data Analysis: Trend identification, hypothesis testing.
• Tools: SQL, Excel (advanced), BI tools (Power BI/Tableau); Python/R preferred.
• Statistics: Descriptive and inferential stats, regression, forecasting.
• Business Skills: Requirement gathering, stakeholder communication, and storytelling.
• Data Quality: Profiling, cleaning, and normalization.
• Domain Knowledge: Banking fundamentals (products, KPIs, compliance).

Nice-to-Have:

• Familiarity with risk analytics and AML/fraud detection basics.
• Exposure to regulatory reporting and compliance standards.
• Knowledge of cloud data platforms (Azure/AWS/GCP).
• Experience working with Middle East customers is good to have.