Senior Data Analyst

Kuala Lumpur, Kuala Lumpur, Malaysia

MoneyLion

MoneyLion is a leading financial tech company founded in 2013. It’s the trusted source for making your best money decisions. Achieve your money goals with our money app!

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MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, and personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About the Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We're seeking a Senior Data Analyst to lead the development and enhancement of our Customer Data Platform. This role focuses on Persona and Customer Insights and is critical to conceptualizing and implementing new elements within our data platforms. These elements include developing personas and audiences, deriving insights from spending behaviors, and analyzing customer events and clickstream data.

Key Responsibilities

  • Conduct comprehensive analyses to identify trends, leveraging historical data and current patterns.
  • Utilize advanced statistical techniques for generating new customer insights, which can then be used for user segmentation, audience creation, and insights generation. 
  • Create and maintain DBT Models  and dashboards, drive adoption and decision-making process.
  • Collaborate effectively with internal teams working well both independently and as part of a team.
  • Enhance Data Quality, Data observability as a part of Customer Data Platform (CDP) Analytics framework.

About You

  • You possess 3-5 years of experience in a data analyst role, ideally within the Financial Technologies/services, e-commerce or marketing agency sectors.
  • A strong foundation in mathematics, statistics, or actuarial science, with the proven ability to tackle problems using both established methods and innovative solutions.
  • Proficiency in SQL is a essential, along with expertise in at least one of the following: Python, R, or other analytics/data mining packages.
  • Familiarity with big data technologies, machine learning algorithms, and data visualization tools (e.g., Tableau, PowerBI, Weka, Sisense) will be considered an advantage.
  • Experience in project management and a proven track record of successful team leadership are highly desirable.
  • Excellent analytical and problem-solving skills, with a keen eye for detail and a commitment to quality.
  • Strong communication skills, capable of presenting findings and recommendations in a clear, concise manner.

Skills: Data warehouse (Snowflake or similar), DBT, EDA, BI Tools, Big data. 

Good to have: Cloud (AWS, or other), Apache Spark, Relational DB (Postgres), No SQL, Data Quality tools and approaches.

What's Next...

After you submit your application, you can expect the following steps in the recruitment process

  1. Online Data Analyst Preliminary Technical Test.
  2. Data Analyst Take Home Test
  3. Interview - Hiring Manager (Virtual or face-to-face)

*If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.*

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation. Every member of the MoneyLion Pride is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

  • Competitive salary packages 
  • Comprehensive medical, dental, vision and life insurance benefits
  • Wellness perks
  • Paid parental leave
  • Generous Paid Time Off
  • Learning and Development resources
  • Flexible working hours 

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: APIs AWS Big Data Data Mining Data quality Data visualization Data warehouse dbt E-commerce EDA Finance FinTech Machine Learning Mathematics PostgreSQL Power BI Python R Snowflake Spark SQL Statistics Tableau Weka

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Team events Wellness

Region: Asia/Pacific
Country: Malaysia
Job stats:  1  0  0
Category: Analyst Jobs

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