Data Analyst – Risk

Job not on LinkedIn

🔥 3 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SOFTETA

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

☁️ SaaS

🤝 B2B

Consulting • SaaS • B2B

SOFTETA is a leading IT service provider specializing in custom software development, digital transformation, and IT consulting for businesses of all sizes. From early-stage discovery to full-scale implementation, SOFTETA offers a comprehensive range of services including front-end and back-end development, AI and data solutions, and quality assurance. They partner with industry leaders globally to deliver tailored technology solutions that enhance business growth and efficiency. With a team capable of rapid scaling and delivering end-to-end solutions, SOFTETA ensures seamless execution and successful project outcomes for enterprises and startups alike.

📋 Description

• Analyze existing manual data loading processes into the Finstudio OneBank platform • Work closely with the Risk Reporting team on a range of analytical and functional tasks • Analyze and maintain risk-related datasets to ensure completeness, consistency, and quality • Support data mapping, reconciliation, and validation activities across risk data domains.

🎯 Requirements

• Ability to work with big data, understanding of the databases and structures • Previous experience in data extraction, SQL, and Python • Experience with BI tools (Tableau, Power BI, Qlik) would be considered as an advantage • Experience with data manipulation and data mining techniques, interpretation, and visualization skills • Full proficiency in MS Office tools, particularly Excel and Access • Analytical, strategical way of thinking and being result-oriented • Preferable knowledge of risk management or credit risk assessment • Fluent English language skills

🏖️ Benefits

• Diverse and technically challenging projects. • Flexible working hours and a hybrid or remote workplace model. • Flexible schedule and an Agile/SCRUM environment. • Technical equipment that you can choose.