First Digital Finance Corporation (FDFC) is a fin-tech company building disruptive and innovative products in retail credit for Southeast Asia.
The company operates BillEase, the top-rated, buy now pay later (BNPL) platform for merchants and their customers in the Philippines with more than 1m downloads.
Build financial services that delight and enable consumers
Use software and AI and to build financial products that are at least 10x better than status quo for our customers
Your Responsibilities Will Include
- Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
- Identify trends and opportunities for growth through analysis of complex datasets
- Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
- Create best-practice reports based on data mining, analysis, and visualization
- Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
- Work directly with managers and users to gather requirements, provide status updates, and build relationships
- Design and develop reports, dashboards, and visualizations to effectively present data-driven insights and trends.
- Analyze large and complex datasets using statistical techniques and data mining methods to identify patterns, correlations, and trends.
- Perform data cleansing, validation, and quality assurance to ensure the accuracy and reliability of the analysis.
- Conduct ad-hoc data analysis and generate actionable insights to support business decision-making and address specific inquiries.
- Collaborate with data engineers to ensure data availability, accuracy, and integrity by defining data collection and transformation processes.
- Develop and maintain data models, data dictionaries, and documentation to support data analysis and reporting.
- Identify opportunities for process improvements and data-driven optimizations by monitoring and evaluating key metrics and performance indicators.
- Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and visualization
- Proven experience as a Data Analyst or in a similar role, with a strong understanding of data analysis techniques, methodologies, and best practices.
- Proficiency in SQL for data extraction, manipulation, and analysis from relational databases, particularly PostgreSQL.
- Experience with data visualization tools and techniques, such as Tableau, Power BI, or Python libraries.
- Strong analytical and problem-solving skills with the ability to interpret complex datasets and draw actionable insights.
- Knowledge of statistical analysis and data mining techniques, such as regression analysis, clustering, and hypothesis testing.
- Familiarity with data preparation and wrangling techniques, including data cleansing, transformation, and aggregation.
- Proficiency in programming languages such as Python or R for data analysis and manipulation.
- Experience working with large datasets and using data querying languages or tools (e.g., SQL, Spark) is a plus.
- Knowledge and experience with additional databases, such as ClickHouse and MongoDB, for handling diverse data storage needs.
- Understanding of OLAP (Online Analytical Processing) concepts and experience with OLAP tools and technologies.
- Familiarity with data warehousing concepts, including dimensional modeling and star schema design.
- Excellent written and verbal communication skills, with the ability to present and explain data insights to non-technical stakeholders
What's on Offer?
- Work alongside & learn from best in class talent
- Excellent career development opportunities
- Opportunity to make a positive impact