Paga is a licensed financial services company and a leading payments company in Nigeria with a massive transformative purpose - to make it simple for one billion people to access and use money. It was founded on the simple belief that the ubiquity of mobile phones can be leveraged in building an ecosystem that enables people to digitally send and receive money and creating simple financial access for everyone.
We are recruiting to fill the position below:
Job Title: Business Data Analyst
Location: Yaba, Lagos
Job Type: Full time
About the Role
As Business Data Analyst you will be a vital member of Paga’s business units, which have the aim of combining product and marketing data with business acumen to drive consumer adoption and retention, in partnership with business partners across the organizations.
In this role you will be expected to possess and use a mix of strategic, analytical, and administrative skills, providing support and data-driven direction to all within the Growth team.
The Business Data Analyst at Paga is a hybrid of traditional roles in strategy, product marketing, and business intelligence. In this dynamic role, you will be at our center of truth - consumer behavior and transaction data.
You will be charged with qualitative and quantitative consumer research, analysis with systemization of trends, crafting actionable insights, project management, measurement, and reporting; all in a bid to ensure the business goals of consumer acquisition and retention are achieved sustainably.
You’ll be expected to collaborate closely with stakeholders across the company, and deliverables will be in the form of driving execution on your strategic recommendations.
The successful candidate will possess a passion for innovative analysis, strong communication skills, processes that scale, and the wherewithal to develop findings and recommendations that transcend the numbers.
Primary Responsibilities
Develop, evaluate, and report targeted marketing strategies and initiatives
Develop a wide variety of models to predict and better understand consumer behaviour
Design and launch experiments, determine campaign targeting strategies, and develop category-specific KPIs, forecasts, and goals
Conduct user/transaction analysis
Conduct market and consumer behaviour trend analysis
Keep abreast of industry and market trends
Build dashboards, reports, and alerting systems for the ongoing analysis and monitoring of marketing campaigns, categories, and channels
Identify process and system improvement opportunities by monitoring existing metrics, analysing data and partnering with internal teams as needed
Support the ongoing analysis of business performance required to inform marketing and product development decisions on a day-to-day basis
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
Develop and maintain strong working relationships with internal business partners and external vendors, to improve strategies and make recommendations.
Work collaboratively with consumer insights/data analysts/data scientists to translate data into insights and outcomes that the domain can leverage
Managing ongoing delivery of data and insights from existing tracking and internal data
Create reports and dashboards visualizing the output of analyses
Communicate insights using data visualization and presentations to stakeholders
Other roles as assigned by the Growth leadership.
Knowledge and Skill Requirements
Bachelor's Degree with a minimum of 2.1 is required.
At least 3 years’ relevant experience in data analysis.
Must be able to work in a high-velocity, high performance environment.
An understanding of Financial services, particularly Money Transfer and Mobile commerce
Creative thinking and innovative approach to solving challenges
Active listening skills
Knowledgeable/Comfortable with technology
Must have completed the mandatory NYSC.
Key Competencies:
Data Fluency: Expert quantitative analysis and logical reasoning; 3+ years of experience using database languages (e.g. SQL or BigQuery) and visualization tools (PowerBI and Tableau) on large data sets to extract trends and insights.
Excellent use of Microsoft excel and the rest of the Microsoft Office suite.