On-Site Data Generalist: Insights & Analytics

Millipede; Singapore; On-site; SGD 70,000 - 105,000; Full time

Benefits offered by this job

Milli-Nest one-time benefit to spruce 

Milli-Cares annual benefit for health

Job summary

Millipede Pte Ltd is seeking a Data Generalist to own end-to-end data lifecycle, from pipeline design to predictive modelling and reporting, on-site in Singapore. You will bridge raw data and insights, enabling data-driven decisions across engineering, product, and business teams.

You will build scalable pipelines, ensure data integrity, and craft dashboards with modern tools. The role demands 3+ years in data roles, strong SQL, Python, and collaboration skills, in a startup environment.

Qualifications

• 3+ years of data-centric experience in roles such as Data Analyst, Data Engineer or Analytics Engineer.
• Strong data-driven mindset with attention to detail and ability to tackle open-ended challenges.
• Excellent communication to explain complex data concepts to diverse audiences.

Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT) from mobile app and web portal sources.
• Develop data preprocessing, cleansing, and validation processes to ensure data quality.
• Perform deep-dive exploratory data analysis to understand user behaviour and project metrics.
• Build, test, and validate machine learning models to forecast timelines and optimize resources.
• Create dashboards and visualisations (Looker, PowerBI, D3.js) for self-service analytics.
• Collaborate with engineering, product, and business teams to translate data needs into solutions.
• Translate findings into clear recommendations through reports and presentations.
• Stay updated with data engineering, analytics, and ML advancements.

Skills

SQL

BigQuery

Python

Pandas

ETL/ELT

Looker/PowerBI

Data Visualization

Communication

Problem-solving

Tools

dbt

Databricks

D3.js

Firestore

Job description

Millipede Pte Ltd is seeking a Data Generalist to own end-to-end data lifecycle, from pipeline design to predictive modelling and reporting, on-site in Singapore. You will bridge raw data and insights, enabling data-driven decisions across engineering, product, and business teams.

You will build scalable pipelines, ensure data integrity, and craft dashboards with modern tools. The role demands 3+ years in data roles, strong SQL, Python, and collaboration skills, in a startup environment.