Sharia Data Analyst

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

As a data analyst in the sharia team of DKatalis, you will be a critical part of the growth of the company. The role would require you to work closely with the marketing team, data engineers and data scientists in order to ensure the validity of the data, transforming the data to insights, and operationalizing it.

To be successful in this position, the analyst will need prior experience in data analytics along with a data driven mindset with strong communication skills to work across technical and non-technical audiences. 

What you will do day to day:

• Understand the business problem and challenges/opportunities for the business.
• Influence the marketing team through data analysis to help support the customer acquisition and engagement goals. Examples of this would be:
• Analyse the effectiveness of campaigns.
• Customer profiling and segmentation.
• Cohort, funnel, churn, and retention analysis.
• Logic creation and automation.
• Create dashboards for monitoring purposes.
• Develop ETL Pipeline for analytics purposes.
• Ad-hoc analysis to help address business challenges and opportunities.
• Pro-active data analysis to identify problematic areas for optimisation or further investigation via customer listening.

What you will need to have:

• A tertiary education in a quantitative discipline.
• At least 3-years of experience in fast-paced environments.
• Knowledge of SQL, python, airflow, and BI Tools (such as Tableau, PowerBI, etc).
• Ability to translate abstract questions to tangible solutions.
• Good communication skills. Ability to work in a cross-functional team (matrix) with technical and non-technical people.
• Proactive and the ability to manage stakeholder expectations and priority.