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Company | BillEase |
Address | San Marino, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Banking |
Expires | 2023-06-21 |
Posted at | 1 year ago |
First Digital Finance Corporation (FDFC) is a fin-tech company building disruptive and innovative products in retail credit for Southeast Asia.
- Create best-practice reports based on data mining, analysis, and visualization
- Conduct ad-hoc data analysis and generate actionable insights to support business decision-making and address specific inquiries.
- Develop and maintain data models, data dictionaries, and documentation to support data analysis and reporting.
- Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
- Collaborate with data engineers to ensure data availability, accuracy, and integrity by defining data collection and transformation processes.
- Perform data cleansing, validation, and quality assurance to ensure the accuracy and reliability of the analysis.
- Analyze large and complex datasets using statistical techniques and data mining methods to identify patterns, correlations, and trends.
- Work directly with managers and users to gather requirements, provide status updates, and build relationships
- Identify opportunities for process improvements and data-driven optimizations by monitoring and evaluating key metrics and performance indicators.
- 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
- Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and visualization
- Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
- Design and develop reports, dashboards, and visualizations to effectively present data-driven insights and trends.
- Understanding of OLAP (Online Analytical Processing) concepts and experience with OLAP tools and technologies.
- Proficiency in SQL for data extraction, manipulation, and analysis from relational databases, particularly PostgreSQL.
- Knowledge and experience with additional databases, such as ClickHouse and MongoDB, for handling diverse data storage needs.
- Strong analytical and problem-solving skills with the ability to interpret complex datasets and draw actionable insights.
- Excellent written and verbal communication skills, with the ability to present and explain data insights to non-technical stakeholders
- Familiarity with data preparation and wrangling techniques, including data cleansing, transformation, and aggregation.
- Knowledge of statistical analysis and data mining techniques, such as regression analysis, clustering, and hypothesis testing.
- Proficiency in programming languages such as Python or R for data analysis and manipulation.
- Familiarity with data warehousing concepts, including dimensional modeling and star schema design.
- Experience with data visualization tools and techniques, such as Tableau, Power BI, or Python libraries.
- Experience working with large datasets and using data querying languages or tools (e.g., SQL, Spark) is a plus.
- Proven experience as a Data Analyst or in a similar role, with a strong understanding of data analysis techniques, methodologies, and best practices.
- Opportunity to make a positive impact
- Excellent career development opportunities
- Work alongside & learn from best in class talent
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