Data Analytics Officer
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
The Data Analytics Officer will be responsible for collecting analyzing and interpreting large
datasets to provide actionable insights that drive business decisions. The role will support
strategic initiatives by leveraging data to improve operational efficiency enhance customer
- experience and inform product development.
Key Responsibilities
Collect clean and validate data from multiple sources to ensure accuracy and reliability.
Perform statistical analysis and develop dashboards reports and visualizations to communicate insights effectively.
Collaborate with cross-functional teams to identify data-driven opportunities for process improvement and business growth.
Develop predictive models and apply machine learning techniques to support forecasting and trend analysis.
Monitor key performance indicators (KPIs) and provide recommendations based on data insights to optimize business strategies.
Ensure compliance with data governance privacy and security standards.
Stay updated on emerging analytics tools technologies and best practices to enhance analytical capabilities.
Requirements
Qualification and Experience:
Bachelors degree in Data Science Statistics Computer Science Economics or related
field; advanced degree or certifications in analytics is a plus.
Minimum of 35 years experience in data analysis business intelligence or related
roles.
Proficiency in SQL Python/R and data visualization tools (e.g. Power BI Tableau).
Strong analytical and problem-solving skills with attention to detail.
Experience with big data platforms and cloud-based analytics solutions is an advantage.
Required Skills:
. Bachelors degree in Business Marketing Finance or related field; MBA or relevant postgraduate qualification is a plus. Minimum of 5-7 years experience in banking marketing or financial inclusion. Proven track record in developing and scaling customer-focused initiatives preferably targeting women. Strong understanding of gender finance customer segmentation and inclusive banking practices.
Company Industry
IT Services and IT Consulting
Key Skills
- English Language
- JSP
- IT Help Desk
- General Services
- After Sales Service
- Commerce
