DA Payments

Cognizant; Elsene; On-site; EUR 75,000 - 105,000; Full time

Job summary

Cognizant Technology Solutions Corporation is seeking a Senior Data Analyst who combines deep data science with business insight to drive strategic decisions in payments and operations.

The role requires advanced SQL, data visualization experience, and the ability to transform complex datasets into clear, actionable insights for cross-functional teams. You will work on large-scale data pipelines, ensure data quality, and communicate findings to both technical and non-technical stakeholders.

Qualifications

• 6+ years in Data Analytics.
• Advanced SQL and relational database proficiency.
• Excellent analytical, problem-solving, and presentation skills.
• Experience with large datasets and cloud platforms (GCP, AWS, Azure).
• Experience with Looker for data visualization and dashboards is advantageous.
• Experience in Payments domain is advantageous.

Responsibilities

• Analyze data and develop SQL-based solutions.
• Collaborate with product, marketing, finance and engineering to translate business needs into analytics.
• Design interactive dashboards and communicate findings to stakeholders.
• Build data pipelines and ETL processes.

Skills

Advanced SQL

Data visualization

Data analysis

Cross-functional collaboration

Critical thinking

Education

Bachelor's or Master’s in Data Science/Statistics/Math/CS

Tools

Looker

Cloud platforms

Relational databases

ETL pipelines

Job description

Job Summary

We are looking for a highly skilled and detail-oriented Senior Data Analyst with a strong analytical mindset. This crucial role requires advanced SQL and data visualization experience to transform raw data into actionable insights that support strategic decision-making. A deep understanding of business operations is essential.

Responsibilities

Data Analysis & SQL Proficiency Collect clean and analyze datasets for trends translate business needs into data solutions conduct root cause analysis optimize complex SQL queries Set up data pipelines and ETL.

• Cross-functional Collaboration : Collaborate with product marketing finance and engineering translate business needs into analytical solutions articulate insights to technical and non-technical audiences.
• Data Visualization & Reporting: Design interactive dashboards (e.g. Looker) effectively communicate findings through visualizations and data storytelling.

Bachelors/Masters in Data Science Statistics Maths Computer Science or related field.

6+ years in Data Analytics.

Advanced SQL and relational database proficiency.

Excellent analytical problem-solving critical thinking communication and presentation skills.

Experience with large datasets and cloud platforms (GCP AWS Azure) a plus.

Strong experience with data visualization/dashboarding tools (e.g. Looker) is an added advantage.

Experience in Payments Domain is an added advantage.