Senior Business Intelligence Analyst at OPay (Opera )

Job Summary

• Deliver and support the businesses with integrated business intelligence and analytics capability for smart, data-driven decision making and strategic business insights for regular business actions.

Job Responsibilities

• Build a Business Intelligence strategy and function to deliver accelerated growth across the business areas.
• Build the BI and analytics strategy and roadmap planning, Improving business capability and BI technical capability.
• Build the reporting of financial modeling that provides a single set of reports available in real-time.
• Head up our small data team and continue to build out and improve the company's data architecture, reporting, and analytical capabilities.
• Responsibility for data standards, analytical methodologies including, predictive modeling, segmentation, reporting, customer analytics, and descriptive statistics.
• Work alongside the Business Heads to build and support the alignment of performance KPIs through self-service dashboards. Providing timely and consistent data, clearly visualized.
• Influence executive members and other business leaders to accept and adopt ideas and analytical solutions.
• Ensure regular and frequent release of new self-service reporting capabilities to the key business areas.
• Build an influential relationship with the Business and Marketing teams to optimize investment between channels to maximize return on investment.
• Build an influential relationship with the Product teams to optimize with funnel conversion rates, product uptake, and results of experiments
• Lead the team to iteratively improve data capability and data architecture to support the BI mission.
• Foster a data-informed approach

Job Requirements

• BSc / MSc degree in Information technology, Computer science, or any related field.
• A wealth of experience either in analytics, business intelligence, or Senior IT data role in a FINTECH or Telecoms firm preferably
• Minimum 6 years experience of successfully leading and coaching analytical teams.
• Excellent understanding of consumer/ enterprise online and offline business processes.
• Results-oriented, entrepreneurial, and self-motivating.
• Ability to transform data into action.
• Extensive expertise in data modeling, both logical and physical.
• Commercial understanding of corporate and operational business issues. Strong understanding of marketing strategy, P&L management, budgeting, etc.
• Able to simplify complex domains and communicate easily.
• Experience in building up analytics teams and business intelligence organizations from the ground up.