MoneySmart Group is South East Asia's leading personal financial portal helping consumers compare loans, insurance, and credit cards. MoneySmart was founded in 2009 with the simple aim to help consumers make better financial decisions.

Through aggregating and consolidating product information to a single platform for comparison MoneySmart empowers consumers to make better financial decisions. We have put the power back into the consumers\' hands. Whether it is for loans, insurance, or credit cards, MoneySmart makes information easy to understand and products easy to apply for - all in one place.

We are growing and we're looking for talents to come onboard our Technology team as a Senior Data Analyst.

Mission

MoneySmart is a dynamic and rapidly growing organization. We're actively building our data infrastructure and BI capabilities. As part of this, you\'ll be involved in building and maintaining core capabilities like reporting & analytics, data infrastructure, and various other data services that are integral parts of MoneySmart's overall technical stack. Our user base is expanding every day and as we enter new countries, there's an opportunity for you to get into the team at the start. If you're someone who enjoys autonomy, is excited about the data infrastructure and values culture, this may be the right role for you.

In a Nutshell

• Work with product, marketing and executive teams to define reporting requirements across different channels.
• Develop and process routine reports by extracting data from key systems.
• Provide key analytical insights to the wider product and business teams.
• Developing systems and tools for effective data management, visualization, and interpretation for leadership for decision-making, action planning, and continuous improvement.
• Maintain the central reporting repository, ensuring the regular delivery and publishing of business, marketing reports and dashboards.
• Generation of product usage reports and provide proper insight for creation of product roadmap
• Monitor and share anomalies in the dataset(s) with an appropriate stakeholder(s) to improve data consistency and reliability

Requirements

• 5+ years Working experience as data analyst or data scientist
• Degree in Computer Science, Math, Statistics or any of their equivalents.
• Ability to develop working relationships with a wide variety of stakeholders, from business to technical resources, balancing competing priorities.
• Experience of distilling data into insight and being able to present it to non-technical Colleagues using appropriate visualization and charting techniques.
• Experience of applying data analytics to solve business problems preferably with specific experience with marketing metrics and data.
• Ability to be self-sufficient, enquiring, inquisitive to drill deeply into data to answer questions and discover relevant user segments and dimensions.
• Ability to train non technical users to leverage BI tools for simple use cases.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

Responsibilities

• Liaison with product and marketing teams to understand various business problem statements analytical requirements
• Participate in cross-functional groups to develop company wide data governance strategies
• Redefine and make technical/strategic changes to enhance existing Business Intelligence systems
• Create relationships between data and develop tabular and other multidimensional data models
• Design, develop, test, and deploy Power BI scripts and perform detailed analytics and visualization
• Develop Predictive analytics solutions on the different types of financial information
• Line management should be responsible for carrying junior data analysts accountable for their performance and giving them opportunities to further their professions.
• Improve the ability of all departments to use the data we have by training them to use BI tools.

Cultural Competencies

• Be a positive team player
• Take Ownership
• Bias for Action
• Take charge of your professional growth
• Being customer centric

MoneySmart Group is an equal opportunity employer. Please include only relevant details and avoid unnecessary information (e.g., photos, age) in your job application to assist us in ensuring that the interview process is devoid of bias.