Flexii connects employers with flexible workers across Asia. Every unfilled shift costs a business a booking and a worker a paycheck. We want someone who can build the data behind that and use it to fix things.
This is a hands-on hybrid role. You'll own our data end to end, working closely with frontend, backend, product and marketing. No handoffs. No waiting for tickets.
Data Infrastructure & Engineering (~50–60%)
Build and maintain ETL/ELT pipelines from our web portal, mobile app and APIs into BigQuery
Own schema design, partitioning and clustering, and plan our move toward hybrid SQL/NoSQL
Set up data quality checks, monitoring and alerting
Build event tracking across the full journey. Workers from sign-up to churn. Employers from onboarding to re-booking.
Work with backend on API instrumentation, PostgreSQL tuning and NoSQL adoption (Bigtable, MongoDB)
Data Analysis & Modeling (~40–50%)
Dig into retention, churn, satisfaction and platform economics: fill rate, CAC, worker LTV, take rate
Segment users that matter. High-frequency vs. seasonal workers, high-value vs. long-tail businesses.
Build dashboards in Looker Studio (or Power BI, Tableau) plus alerts for market imbalances, like a local worker shortage
Build scoring models with NLP and embeddings for job-worker fit and review sentiment
Evaluate A/B tests on matching and product changes
Turn findings into clear recommendations for product, marketing and leadership. Then push for them.
What you bring
2+ years in data engineering, analytics engineering or similar
Strong SQL (PostgreSQL preferred) and hands-on BigQuery, Redshift or Snowflake
ETL/ELT experience with Cloud Functions, Dataflow, Composer, Airflow or similar
Looker Studio, Looker, Tableau or Power BI
Vector embeddings or NLP libraries (Gemini Embeddings, Hugging Face, scikit-learn)
Working knowledge of APIs, Git and how frontend and backend fit together
Commercial sense. You care about the "so what" behind the number.
Fluent English and Mandarin, written and spoken. You'll present findings to teams in Taiwan, Singapore and Hong Kong.
Clear communicator with non-technical people
Comfortable wearing multiple hats and moving fast
Nice to have
GCP beyond BigQuery (Vertex AI). ML deployment. NoSQL. Background in marketplaces, gig economy, HR-tech or recommendation systems.
Why Flexii
You'd be building the data function, not inheriting one. What you ship goes straight to product and leadership.
Final interview will be on site
Other benefits will be based on Taiwan Employment laws.
