ATM Analytics Lead — Data-Driven Efficiency & Strategy

TEB; Fatih; On-site; TRY 140,000 - 260,000; Full time

Job summary

TEB is seeking an experienced ATM Operations Data Analyst to lead financial analysis, optimize ATM placement, and turn large datasets into actionable insights. You will work with SAS/SQL/Python/R and BI tools to deliver data-driven recommendations that enhance efficiency and profitability across ATM networks.

The role requires 5+ years in ATM data analysis, reporting, and visualization, with strong analytical thinking and communication skills.

Qualifications

• Bachelor's degree in Engineering, Statistics, Mathematics, Econometrics, or related field.
• Minimum 5 years of experience in ATM data analysis, reporting, and data visualization.
• Proficiency in SAS, SQL, Python, or R for data analysis.
• Experience with business intelligence tools such as Tableau, Power BI, etc.
• Strong ability to work with large datasets and generate actionable insights.
• Experience in data analysis within the ATM Banking or financial sector (preferred).
• Strong analytical thinking, problem-solving, and communication skills.

Responsibilities

• Managing financial analysis of ATM operations.
• Develop ATM placement strategies and executional framework based on data driven insights.
• Analyze large datasets related to ATM operations to extract insights.
• Develop data-driven recommendations to enhance ATM efficiency.
• Conduct data analysis and modeling to improve business processes by internal and external data’s.
• Prepare data-driven reports and share insights to ensure best customer experience.
• Monitoring ATM performance in terms of profitability, cost management and sales activities.

Skills

Data analysis

Data visualization

Analytical thinking

Communication skills

Problem solving

Education

Bachelor's degree in Engineering/Statistics/Mathematics/Econometrics or related field

Tools

SAS

SQL

Python

R

Tableau

Power BI

Job description

TEB is seeking an experienced ATM Operations Data Analyst to lead financial analysis, optimize ATM placement, and turn large datasets into actionable insights. You will work with SAS/SQL/Python/R and BI tools to deliver data-driven recommendations that enhance efficiency and profitability across ATM networks.

The role requires 5+ years in ATM data analysis, reporting, and visualization, with strong analytical thinking and communication skills.