DUTIES & RESPONSIBILITIES
- Collect clean and analyze large datasets to identify trends patterns and actionable insights.
- Build automate and maintain dashboards and reports for business units to track KPIs and business performance.
- Translate complex data findings into clear and concise narratives for non-technical stakeholders.
- Work collaboratively with departments such as Product Marketing Risk and Finance to understand data needs and deliver customized insights.
- Conduct deep-dive analyses to support product development customer behavior understanding and operational improvements.
- Assist in the design and implementation of data models to support forecasting segmentation and predictive analytics.
- Ensure data accuracy and consistency across systems and support data governance efforts.
- Monitor data quality and help resolve discrepancies in data reporting.
- Stay current with industry trends tools and best practices in analytics especially within fintech.
- Support A/B testing market segmentation and campaign performance analysis.
REQUIREMENT
Education
- Bachelors degree in Statistics Mathematics Computer Science Economics Data Science or related field.
- A Masters degree in Business Analytics Data Science or related discipline is an advantage.
General Experience
- Understanding of fintech business models and digital financial products is an added advantage.
Technical Skills
- Proficiency in SQL for data querying and extraction.
- Experience with data visualization tools (e.g. Power BI Tableau Looker).
- Strong skills in Excel and at least one programming language such as Python or R.
- Understanding of relational databases data structures and ETL processes.
- Knowledge of statistical analysis and data mining techniques.
- Familiarity with A/B testing cohort analysis and time-series forecasting.
Certifications
- Certifications such as Microsoft Certified: Data Analyst Associate Google Data Analytics Professional Certificate or equivalent are beneficial.
Experience
- 46 years of experience in data analysis business intelligence or related roles preferably in a fintech or technology-driven environment.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication skills with the ability to explain data insights to non-technical stakeholders.
- Attention to detail and commitment to data accuracy.
- Ability to manage multiple tasks and deliver within tight deadlines.
- Collaborative mindset and ability to work in cross-functional teams.
Required Experience:
Manager
DUTIES & RESPONSIBILITIESCollect clean and analyze large datasets to identify trends patterns and actionable insights.Build automate and maintain dashboards and reports for business units to track KPIs and business performance.Translate complex data findings into clear and concise narratives for non...
DUTIES & RESPONSIBILITIES
- Collect clean and analyze large datasets to identify trends patterns and actionable insights.
- Build automate and maintain dashboards and reports for business units to track KPIs and business performance.
- Translate complex data findings into clear and concise narratives for non-technical stakeholders.
- Work collaboratively with departments such as Product Marketing Risk and Finance to understand data needs and deliver customized insights.
- Conduct deep-dive analyses to support product development customer behavior understanding and operational improvements.
- Assist in the design and implementation of data models to support forecasting segmentation and predictive analytics.
- Ensure data accuracy and consistency across systems and support data governance efforts.
- Monitor data quality and help resolve discrepancies in data reporting.
- Stay current with industry trends tools and best practices in analytics especially within fintech.
- Support A/B testing market segmentation and campaign performance analysis.
REQUIREMENT
Education
- Bachelors degree in Statistics Mathematics Computer Science Economics Data Science or related field.
- A Masters degree in Business Analytics Data Science or related discipline is an advantage.
General Experience
- Understanding of fintech business models and digital financial products is an added advantage.
Technical Skills
- Proficiency in SQL for data querying and extraction.
- Experience with data visualization tools (e.g. Power BI Tableau Looker).
- Strong skills in Excel and at least one programming language such as Python or R.
- Understanding of relational databases data structures and ETL processes.
- Knowledge of statistical analysis and data mining techniques.
- Familiarity with A/B testing cohort analysis and time-series forecasting.
Certifications
- Certifications such as Microsoft Certified: Data Analyst Associate Google Data Analytics Professional Certificate or equivalent are beneficial.
Experience
- 46 years of experience in data analysis business intelligence or related roles preferably in a fintech or technology-driven environment.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication skills with the ability to explain data insights to non-technical stakeholders.
- Attention to detail and commitment to data accuracy.
- Ability to manage multiple tasks and deliver within tight deadlines.
- Collaborative mindset and ability to work in cross-functional teams.
Required Experience:
Manager
View more
View less