Are you our next Data Analyst within Risk?

The role of the Risk Data Analyst encompasses the responsibility of ensuring the availability of timely, valid, and reliable data in the Risk data repositories that are predominantly utilized by the risk function. It is imperative for the Risk Data Analyst to work closely with the product owner of the risk data repositories to ensure that requests from the risk stakeholders are effectively deployed under the implemented agile framework.

The Risk Data Analyst holds accountability for the translation of business requirements received from various sources, such as different risk functions, regulatory requirements, or different projects, into technical requirements that include (pseudo) codes and testing strategies. This entails a meticulous approach towards analyzing and verifying the accuracy of the data that is inputted into the system, with the ultimate goal of delivering high-quality results.

Activities

• Conduct a comprehensive analysis of business requirements to identify opportunities for process improvement
• Collaborate with subject matter experts to facilitate the specification of user stories and establish acceptance criteria
• Support Product manager in backlog grooming
• Develop thorough documentation of business processes, procedures, and systems to effectively communicate critical information to stakeholders
• Collaborate with cross-functional teams to identify and document user requirements and business needs Assist in user acceptance testing to ensure systems and processes meet user requirements and expectations
• Communicate complex technical concepts clearly and concisely to non-technical stakeholders to facilitate collaboration and understanding
• Continuously monitor and report on the effectiveness of implemented solutions and identify areas for optimisation
• Develop and maintenance of the Risk data business intelligence dashboards

Personal characteristics

• Analytical thinker: You should be able to break down complex problems into smaller components and analyse them systematically
• Detail-oriented: You should have a keen eye for detail and a passion for ensuring accuracy in your work
• Proactive: You should be able to take the initiative and seek out opportunities for improvement and optimisation
• Collaborative: You should be able to work effectively with cross-functional teams and communicate clearly and professionally with stakeholders at all levels
• Self-motivated: You should have a strong work ethic and be able to work independently, manage your time effectively, and prioritise tasks to meet deadlines
• Adaptability: You should be able to work in a dynamic and fast-paced environment, be flexible, and adapt to changing business needs
• Curiosity: You should desire to learn and expand your knowledge in business analysis and keep up to date with the latest industry trends and developments

Competencies and skills

• High understanding and experience in use of databases and large datasets
• Ability to see and understand complex logic issues
• Communicate complex issues/matters in simple terms
• Able to efficient efficiently transform business requirements into technical requirements
• Stakeholder management skills
• Advanced SAS or SQL programming skills
• Knowledge of data warehouse concepts and structures
• Snowflake, AWS, Power-BI knowledge or experience seen as beneficial
• Able to conduct agile ceremonies
• Solid in written and spoken English

Experience and education

• Bachelor or Master’s Degree in technology, science, statistics, mathematics, business administration, finance or similar
• Solid experience in quantitative or data-heavy functions and within big data and analytics architectures
• At least one year of relevant experience in risk management, business rule engine management, and/or database usage and management

Location can be any of our offices in Oslo, Stockholm, Copenhagen or Helsinki.

For more information about this position, reach out to Myurathan Kajendran, Risk Data Leader.