Data Generalist

Overview

Own end‑to‑end data lifecycle, building pipelines, analysis, models, and visualisations.

Key Responsibilities

• data pipelines
• exploratory analysis
• dashboard creation
• predictive modeling
• data validation
• data visualization

Tasks

By leveraging these tools, Millipede enables firms to optimise processes, reduce turnaround times, and improve overall project outcomes. We are seeking a versatile and proactive Data Generalist to own the end-to-end data lifecycle at Millipede. You will be the bridge between raw data and actionable insights, responsible for everything from building data pipelines and ensuring data integrity to conducting deep-dive analyses, developing predictive models, and creating compelling visualisations. -Analysis & Insights: Conduct deep-dive exploratory data analysis (EDA) to understand user behaviour, project metrics, and operational efficiency, identifying key trends and patterns. -Data Engineering: Design, build, and maintain scalable and reliable data pipelines (ETL/ELT) to gather large datasets from various sources, including our mobile app and web portal. -Cross-Functional Collaboration: Work closely with engineering, product, and business teams to understand their data needs, implement data-driven solutions, and drive strategic decisions. -Innovation: Stay updated with the latest advancements in data engineering, analytics, and machine learning, and champion new methodologies to continuously improve our data capabilities. -Mobile App: Allows on-site workers & supervisors to report progress, complete checklists in real-time and manage approvals, ensuring accurate and timely data collection. -Visualisation & Reporting: Create and maintain insightful dashboards and visualisations (e.g., in Looker, PowerBI) to empower stakeholders with self-service analytics and effectively communicate findings. -Data Integrity: Develop processes for data preprocessing, cleansing, and validation to ensure the highest levels of data quality and integrity. -Predictive Modeling: Build, test, and validate practical machine learning models to forecast project timelines, identify potential safety risks, or optimise resource allocation. -Web Portal: Provides project managers and administrators with a centralised dashboard to monitor activities, manage stakeholders, and track project timelines across multiple sites. -Data Evangelism: Translate complex data concepts and findings into clear, actionable recommendations for both technical and non-technical audiences through reports and presentations.

Requirements

• sql
• python
• machine learning
• dbt
• looker
• communication

What You Bring

-Communication: Excellent communication skills with a proven ability to explain complex data concepts to a diverse range of audiences and collaborate effectively as a team player. -Experience: 3+ years of relevant work experience in a data-centric role (e.g., Data Analyst, Data Engineer, Analytics Engineer) within the SaaS space. -Practical understanding of machine learning techniques and algorithms (e.g., k-NN, Naive Bayes, SVM, Decision Forests) is a strong plus. -Proficiency with common data science toolkits in Python (e.g., Pandas, NumPy, Scikit-learn) or R. -Experience with both Relational Databases and NoSQL databases (e.g., Google Firestore). -Mindset: Highly detail-oriented, organised, and meticulous. You possess a strong problem-solving mindset with the ability to tackle open-ended challenges and a self-starter attitude suited for a dynamic startup environment. -Strong proficiency in query languages, especially SQL (experience with BigQuery is a major plus). -Hands-on experience with modern ETL/ELT tools (e.g., dbt, Databricks). -Experience creating dashboards and reports with a range of data visualisation tools (e.g., Looker, PowerBI, D3.js).

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Benefits

-Milli-Cares annual benefit for health and wellness related expenses (e.g Health insurance, health screenings, gym membership, dental and prescription glasses) -Milli-Nest one-time benefit to spruce up your workstation

About Millipede

-Built a unified platform for real-estate development that captures on-site progress in real time and automates stakeholder coordination. -Typically works with construction and real-estate firms to streamline project delivery across multiple sites and teams. -Focuses on integrating mobile apps for on-field reporting, a web dashboard for managers, and custom 'Milli-Tools' for tracking quality and safety. -Operates on a subscription or platform model, targeting improved outcomes through efficiency rather than asset-heavy investments. -Projects range from new developments to refurbishment works across commercial, residential, and infrastructure sectors. -Standout fact: addresses raw, on-the-ground data capture using a unified digital platform—unusual in traditional construction tech.

Sector Specialisms