As a Staff Analytics Engineer, you'll architect data products, using dimensional modeling and modern data stacks, while mentoring teams and ensuring data quality.
Great to Meet You! We are Ascenda
Ascenda powers the growth of leading financial services brands worldwide with premium rewards programs that differentiate their products, drive profitable customer behaviors, and create sustained engagement.
We are behind the world-class rewards propositions of major banks and fintechs around the globe, including brands like American Express, Capital One, Brex, Robinhood, Ramp, HSBC, Virgin Money (Australia), SMBC (Japan), ICBC (China), Bradesco (Brazil), ANZ (Australia), HDFC (India) and many others.
We are a thriving global Loyalty as a Service company and experiencing rapid expansion. Join our dynamic finance team as one of its earliest leaders, contributing to the development of our financial planning strategies as we strive for hypergrowth. Our team spans 20 cities worldwide, with dual headquarters in Singapore and New York, totaling 250 team members.
Join us as a Staff Analytics Engineer in Singapore/Vietnam!
The Role
As a Staff Analytics Engineer in Ascenda’s Data Team, you will act as a Data Architect and technical leader, designing, building, and governing our data medallion architecture to deliver reliable, scalable, and high-trust data products — serving both internal and external stakeholders.
You will shape how our loyalty-as-a-service business models its data, metrics, and data products for enterprise clients and partners.
You’ll collaborate closely with product managers, commercial account managers, engineers, and data scientists in a modern, fast-moving environment that values autonomy, clarity, and measurable outcomes.
Your Impact
- Architect the data foundations that enable both internal teams and global partners to turn raw data into trusted insights powering real business decisions.
- Champion dimensional modelling principles, ensuring our medallion architecture scales efficiently with increasing data volume, variety, and complexity.
- Design, standardise, and evolve our data modelling (dbt) frameworks to transform raw data into self-explanatory, performant, and reusable datasets for analytics and reporting.
- Empower analysts, engineers, and business teams with high-quality semantic layers and data models that serve as a single source of truth across Ascenda and our partner ecosystem.
- Drive excellence in our modern data stack — AWS Redshift, dbt, Airflow, Meltano, Python (Pandas, Jupyter) — ensuring performance, scalability, and maintainability.
- Mentor analytics engineers, define best practices, and embed data quality, governance, and observability throughout our data stack.
- Work closely with data engineers, scientists, and AI engineers to power machine learning workflows and predictive models.
Who You Are
- 7–10 years of experience in analytics engineering, data engineering, or data modelling within large-scale data environments (fintech, banking, e-commerce, telco, etc.).
- Deep hands-on expertise with dbt, applying best practices in modular design, macros, reusable patterns, and unit testing.
- Proven experience designing and evolving enterprise-scale data models (Kimball, Inmon, or Data Vault).
- Strong SQL and Python skills, with a performance-driven mindset and production-ready practices (CI/CD, version control, monitoring).
- Strong analytical and problem-solving skills, with the ability to draw insights and make data-driven recommendations.
- Excellent business acumen — able to translate product and business stakeholder needs into scalable data models and semantic layers.
- Outstanding communicator who can articulate architectural trade-offs and influence both technical and non-technical audiences.
- Collaborative, proactive, and self-motivated, with a commitment to continuous learning and improvement.
- Keeps up-to-date with emerging data and AI technologies, actively exploring innovative applications such as GenAI for analytics and data automation.
- Strong alignment with Ascenda’s core values of growth mindset, hands-on ownership, supportive collaboration, and radical simplicity
Why Join Ascenda?
Ascenda offers the unique opportunity to lead in the loyalty ecosystem space, shaping the future of rewards programs. We are passionate, we keep things simple, we focus on results, we work together & we innovate!
We have a rewarding working place that provides a:
- High growth environment & exponential career development
- Mobile & flexible work environment
- WFH office equipment allowance
- Medical insurance coverage
- Employee recognition programs
- Competitive compensation
- Travel perks & Employee rewards
Ascenda is dedicated to diversity and inclusion, welcoming candidates from all backgrounds. Join us on our mission to make loyalty simple and rewarding for everyone, everywhere.
Ready to power growth for the financial services industry? Apply now! Together, we'll redefine what's possible.
Top Skills
Airflow
Aws Redshift
Dbt
Jupyter)
Meltano
Python (Pandas
SQL
Ascenda Singapore, Singapore, SGP Office
380 Jalan Besar, Singapore, Singapore, Singapore, 209000
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