About Sopra Banking Software
Our teams consist of exceptional people with Entrepreneurship, Diversity, Respect, and Collaboration as values at the core. We bring together people from different lifestyles, backgrounds and cultures to partner with more than 1,500 leading Financial institutions worldwide. The rich variety of our solutions, the strength of our conviction and our passion for innovation enable us to support our clients on a daily basis and in their future projects, as well as in their goals regarding Financial inclusion. Our customers, based in over 80 countries, benefit every day from our technologies and software, as well as the expertise of our 5,000 employees. Sopra Banking Software is a subsidiary of the Sopra Steria Group, a European leader in consulting, digital services and software development. With more than 46,000 employees, the Sopra Steria Group generated a turnover of €4.7 billion in 2021. And with the power of our parent group, Sopra Steria, behind us, anything is possible for our teams and our partners.

Minimum Qualification

• Expert level exposure on Statistical knowledge. Statistical analysis using statistical packages.
• Hands-on experience in spreadsheet like MS Excel
• Experience in statistical language like R, SAS and SPSS
• Experience in any scripting language like Python, Java or Scala
• Good knowledge of SQL (queries) and fundamental understanding of database design concepts.
• Total Experience Expected: 06-08 years.

Preferred Qualification:

• Knowledge of Agile software development lifecycle.
• Good to have data migration, integration, business facing experience.
• Soft skills to encourage more effective team cooperation and communication.
• Good to have sales domain knowledge.
• Database and model design and segmentation techniques
• Programming frameworks, including XML, JavaScript, and ETL.

What you will do

• A good team player responsible for handling all data analytics-related queries. Interpreting data and analyzing results using statistical techniques
• Being updated about the latest third-party applications, tools or AI helpful in data analytics.
• Developing data collection systems: Creating strategies to optimize statistical quality and efficiency
• Analyzing trends: Identifying patterns and anomalies in data
• Extracting data using special tools and software
• Responding to queries: Answering questions about data
• Reporting trends: Communicating findings to stakeholders
• Setting up processes to make data more efficient.
• Managing master data, including creation, updates, and deletion
• Providing quality assurance of imported data
• Communicating effectively with stakeholders
• Providing weekly updates.

• Bachelor's or higher engineering degree in Computer Science, or related technical field, or equivalent additional professional experience.

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.