Data Analytics Officer at Polaris Bank

Polaris Bank was established by the Central Bank of Nigeria (CBN) on September 21, 2018 to offer commercial banking services to the Nigerian public. The bank commenced services on the same day, having purchased the assets and assumed certain liabilities of the defunct Skye Bank.With a footprint of over 350 branches across the country, Polaris Bank prides itself in delivering exceptional customer experience, leveraging best in class/state of the art Information Communication Technology (ICT). By focusing on ICT solutions across multiple service delivery channels (mobile banking, ATMs, POS and online platforms) Polaris Bank maintains a pivotal role in the Nigerian banking industry, providing customers with simple, convenient and secured banking services.

We are recruiting to fill the position below:

Job Title: Data Analytics Officer

Location: Lagos
Employment Type: Full-time
Department:  Retail Banking

Job Description

• 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.
• 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.
• 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.

Requirements
Qualification and Experience

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field; advanced degree or certifications in analytics is a plus.
• 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.
• Minimum of 3–5 years’ experience in data analysis, business intelligence, or related roles.

How to Apply
Interested and qualified candidates should:
Click here to apply