Data Analytics And Reporting Specialist Jobs

Consumer Banking Data Management Specialist

Collaborative Skills: Working closely with business team to provide actionable insights

Bachelor's degree with min. 3 yrs experience in similar role

Skilled in using Excel, SQL and programming languages like Python or R

competitive benefits package and professional advantages

Data Visualization: Presenting analyzed data in the form of charts, graphs, and reports to communicate findings and trends effectively

Experience of planning and organizing complex activities, and delivering to time, quality and resource requirements

Experience of supporting and influencing senior managers, and building successful relationships and networks at all levels

Create and maintain risk reports for monitoring purposes and to meet regulatory requirements, ensuring timely and accurate reporting to relevant stakeholders.

Bachelor's degree in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Engineering. Advanced degrees are preferred.

A minimum of 5 years of experience in risk analytics, strategy development, or a related role in financial services.

Drive risk policies and strategies in a rapidly growing startup with strong shareholder support.

Stay abreast of industry best practices, emerging trends, and cutting-edge technologies in data analytics, continuously expanding knowledge and skills.

Solid understanding of data management principles and best practices.

Years of professional experience in data analytics or a related role.

Strong data visualization skills using tools like Tableau, Power BI, or similar.

Excellent communication and presentation skills to convey complex findings to both technical and non-technical audiences.

Demonstrated problem-solving and critical-thinking skills, with a passion for finding innovative solutions through data analysis.

Bachelor's degree in a relevant field or equivalent experience.

Experience in data analysis, reporting, and visualization.

Excellent attention to detail and analytical skills.

Strong communication and presentation abilities.

Analyze data: Dive into large datasets, identify patterns, and uncover meaningful insights using statistical techniques and data mining.

Generate reports: Create comprehensive reports, dashboards, and visualizations that communicate data-driven insights to stakeholders.