Compare your skills with the requirements for Data Analytics Specialist and see what you need to learn
Total Experience:
3 to 5 years of professional experience in data analytics, business intelligence, or a related role.
Banking or financial services experience is preferred.
Degree:
Bachelor’s degree in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, Mathematics, or a related field.
Professional certifications in data analytics, business intelligence, or data visualization are an advantage.
Description:
The role holder is responsible for collecting, processing, analyzing, and interpreting data to support business decisions and improve organizational performance.
Collect, extract, clean, validate, and analyze data from multiple internal and external sources.
Develop and maintain dashboards, reports, and data visualization solutions to support management decision-making.
Translate business requirements into analytical models, reports, and meaningful performance indicators.
Analyze customer behavior, transaction patterns, and business trends to identify opportunities for improvement.
Support the development of customer insights and data-driven digital products and initiatives.
Design, develop, and maintain key performance indicators (KPIs) and management reporting frameworks.
Collaborate with business stakeholders to identify data requirements and deliver relevant analytical solutions.
Perform data quality assessments and implement validation processes to ensure data accuracy, consistency, and reliability.
Develop automated reporting processes to improve efficiency and reduce manual reporting activities.
Support the development and maintenance of data models, datasets, and business intelligence solutions.
Conduct trend analysis, segmentation, and exploratory data analysis to support business planning and strategic initiatives.
Support the identification of opportunities for process optimization, revenue enhancement, and improved customer experience.
Work with IT and data teams to improve data accessibility, integration, and reporting capabilities.
Ensure compliance with internal data governance, information security, and customer data confidentiality requirements.
Prepare analytical findings and present insights and recommendations to management and relevant stakeholders.
Stay updated on data analytics technologies, BI tools, and industry best practices.
Skills
Strong proficiency in SQL and database querying.
Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
Knowledge of Microsoft Excel, including advanced formulas, pivot tables, and data analysis.
Experience with data preparation, data modeling, and reporting automation.
Knowledge of Python or R for data analysis is an advantage.
Strong analytical thinking, attention to detail, and problem-solving abilities.
Able to function in high pressured and fast paced environment.
Excellent communication, presentation, and stakeholder management skills.
