Data Analyst

Millipede; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading technology company in Singapore is seeking a skilled Data Analyst to enhance its data-driven solutions for the construction sector. The ideal candidate will perform data analysis, develop dashboards, and collaborate with multiple teams to optimize processes. This full-time role offers exciting opportunities to innovate with cutting-edge tools in a dynamic industry.

Benefits

Milli-Nest benefits for work station setup

Milli-Cares annual benefit for health and wellness

Qualifications

• 3+ years of relevant experience in data analysis or engineering in SaaS.
• Ability to adapt to a fast-paced startup environment.
• Understanding of Relational Databases and Data Management Principles.

Responsibilities

• Gather and preprocess large datasets from various sources.
• Build, test, and validate predictive models using machine learning.
• Prepare detailed reports and presentations for stakeholders.

Skills

SQL

Data Engineering

Dashboard Development

Communication

Problem Solving

Tools

BigQuery

Google Firestore

ETL Tools (dbt/databricks)

D3.js

PowerBI

Looker

R

Weka

NumPy

MatLab

Job description

About the Company

Millipede Pte Ltd is a Singapore-based technology company specialising in Integrated Digital Delivery (IDD) solutions for the construction and real estate development sectors. Established in 2022, Millipede aims to enhance efficiency, safety, and quality across construction projects by providing a connected platform that facilitates real-time data collection and stakeholder collaboration.

What Millipede Offers

Millipede’s platform is designed to integrate seamlessly into existing workflows, offering tools that cater to various stakeholders in the built environment:

• Mobile App: Allows on-site workers & supervisors to report progress, complete checklists in real-time and manage approvals, ensuring accurate and timely data collection.
• Web Portal: Provides project managers and administrators with a centralised dashboard to monitor activities, manage stakeholders, and track project timelines across multiple sites.
• Milli-Tools: A suite of customisable tools that aid in accurate progress tracking, safety compliance and quality assurance.

By leveraging these tools, Millipede enables firms to optimise processes, reduce turnaround times, and improve overall project outcomes.

About the role

This is a full-time on-site Data Analyst role located in Singapore.

We are looking for a skilled and detail-oriented Data Analyst to join our team. This role requires a strong foundation in SQL, data engineering, and dashboard development, along with a passion for data-driven solutions, automation, and exploring AI/ML applications. You will be responsible for analyzing large amounts of data, creating and maintaining data standards and models, and presenting insights and reports to stakeholders.

At Millipede, we encourage innovation and technical exploration. The construction industry presents a unique mix of challenges and opportunities, where problems are rarely straightforward but always exciting to solve. If you're someone who enjoys tackling complex problems, you'll have the opportunity to experiment with cutting-edge tools, frameworks, and technologies to streamline workflows, drive automation, and extract powerful data insights. Millipede is a place where curiosity meets impact - come build something meaningful with us.

Responsibilities

• Gather and preprocess large datasets from various sources to ensure data cleanliness, quality and integrity.
• Conduct thorough analysis on session data to understand data patterns, trends, and insights.
• Build, test, and validate predictive models using machine learning and statistical techniques.
• Work closely with cross-functional teams, including engineering, product, and business units, to implement data-driven solutions.
• Prepare detailed reports and presentations to summarize analysis and recommendations for both technical and non-technical audiences.
• Stay updated with the latest advancements in data science and machine learning, and apply new methodologies to improve current processes.
• Identify and solve complex data-related problems to support business decisions and strategy.

Required Skills

• 3+ years of relevant work experience as a data analyst and/or engineer in the SaaS space.
• Highly detail oriented, organized and meticulous.
• Great communication skills and a strong team player, with the ability to explain complex data concepts to a range of audiences.
• Problem solving mindset with an ability to resolve open ended problems.
• Ability to adapt to a fast-paced and dynamic startup environment. A self-starter mentality and attitude is a must.
• Understanding of Relational Databases and Data Management Principles is a must.
• Proficiency with query languages, such as BigQuery.
• Experience with Google Firestore as NoSQL database.
• Experience with ETL tools such as dbt/databricks.
• Experience with a wide range of data visualisation tools, such as D3.js, PowerBI, Looker etc.
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
• Understanding of machine learning techniques and algorithms, such as k- NN, Naive Bayes, SVM, Decision Forests will be a plus.

Benefits

• One time Milli-Nest benefits to spruce up your work station. Use it for whatever you need to boost your productivity!
• Milli-Cares annual benefit with the flexibility to use on a variety of health and wellness related expenses e.g Health insurance, health screenings, gym membership, dental and prescription glasses.