Data Analyst at Renmoney

Description

We are seeking a highly skilled and experienced Data Analyst to join Renmoney's. As a Data Analyst, you will play a crucial role in supporting various teams such as Decision Science, Risk Management, Collection, Marketing, Sales, Savings by monitoring and tracking various parameters to ensure effective credit risk management. You will work closely with cross-functional teams, utilizing your expertise in data analysis, visualization, and programming to provide actionable insights and drive data-driven decision-making.

Responsibilities:

• Create BI-dashboards, data-marts, DWH-segments as valuable data-product for supported business units.
• Improve BI-dashboards design, compactness, accuracy.
• Maintain SLA on BI-reporting availability for supported business units.
• Communicate with supported business units on user stories, task clarification, BI-reporting, ad-hoc data-exports. Negotiate new reports value and simplification.
• Initiate and investigate data-inconsistency tickets, bug-tracking control.
• Participate in ETL-processes and DWH logic-schema development, creating new DWH business-segments.
• New data-sources and data-entities exploration.
• Automate sophisticated reports and calculations.
• Create data-quality checks and procedures.
• Communicate with IT on data availability, data quality, data acquisition.
• Collaborate with other data-analysts and data-engineers.
• Mentor junior data-analysts.

Requirements

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline.
• Minimum of 2 years' experience working as a Data Analyst, preferably within the banking industry.
• Advanced SQL, middle BI, proven experience in different dialects and BI environments (Power BI as advantage)
• Good understanding on DWH principles, DB-architecture and ETL process
• Experience in data-quality analysis
• Responsible self-controlling skills
• Excellent communication skills and deep understanding of stakeholders needs detection
• Ability to work collaboratively in a cross-functional team environment
• Strong attention to detail and commitment to delivering high-quality work