ABOUT ASPERMONT
Aspermont (ASX: ASP) is a global leader in business-to-business (B2B) media, data, and intelligence services, with a 190-year publishing legacy and over 560 years of brand heritage across its flagship titles. The company serves critical global sectors, most notably mining, energy, and agriculture, through a portfolio of trusted brands including Mining Journal, Mining Magazine, and Farming Ahead.
Operating with a global network of over 100 journalists and analysts, Aspermont delivers premium content, data, intelligence, and marketing solutions to a professional audience in more than 190 countries. The company’s core business model is built on high-quality recurring revenue, with subscriptions now contributing over 66% of total revenue. Aspermont is headquartered in London, with offices in Australia, Brazil, the Philippines, and Singapore.
Over the past nine years, Aspermont has transformed from a traditional publishing model into a scalable digital platform business underpinned by proprietary technology and data infrastructure.
ABOUT THE DATA ANALYTICS DEPARTMENT
Our analytics team is instrumental in ensuring we deliver high-grade data and analytics for subscribers, clients, and for internal departments. We are tasked with assisting the development of the data products, improving the quality of analytics, and contributing to business strategy discussions from a data-led perspective.
YOUR ROLE
Reporting to the Head of Data Analytics, you will be working on an international basis supporting the business globally and delivering a high level of service to internal and external stakeholders. As a Data Developer, you will design, build, and maintain the data pipelines, ingestion processes, and structured data models that power our data ecosystem, including the use of AI tools to extract and contextualise data at scale. You will be responsible for creating efficiencies, maintaining and enriching the data ecosystem, and partnering with stakeholders to turn raw and unstructured sources into reliable, production-ready data products. These activities are critical to maintaining a data-led business mindset, ensuring accurate decision-making for senior leaders, and more efficient operational workflows.
The day to day responsibilities as part of the team are varied, your duties will include but are not limited to:
Data Engineering & Pipeline Development
- Building, maintaining, and optimising our database infrastructure and data pipelines in a warehouse environment and constantly improving data quality
- Developing and maintaining data ingestion processes, including scraping and extracting data from diverse sources using AI tools
- Building and maintaining data transformation processes within the warehouse environment, from both structured and unstructured data, for use in data visualization and self-service platforms
- Designing and populating structured data models and tables that capture entities through their lifecycle, and building ontologies to map the relationships between these entities
Data Products & Analytics
- Building and publishing data products, including interactive dashboards, that turn structured data into actionable intelligence for subscribers, clients, and internal teams
- Supporting and leading projects for the development of business insight and strategy through delivery via our analytics tools and data modelling software
- Free space to innovate, creating/discovering new tools/processes to keep our team at the forefront of analytics technology
- Keeping Aspermont and our analytics team ahead of the curve through proven innovative ideas taken to fruition
Project Leadership & Ownership
- Autonomously leading projects to produce new data oriented commercial products and enhancement of existing ones, including through cross-functional projects
- Able to manage complete ownership of specific data development and data engineering functions
- Formulating, assessing hypotheses, managing stakeholders’ expectations around development and delivery
- Hosting discussions around decision-making
Stakeholder Management & Commercial Growth
- Developing and maintaining strong stakeholder relationships to scope out and deliver new commercial opportunities end-to-end for the business to expand our footprint and increase revenue
- Managing cross-functional deliverables to improve collaboration and directly impacting efficiency to enable business growth
- Training and upskilling any potential new analysts.
- Evidencing how your peers and stakeholders are adapting to a more data led approach as a direct result of your work with them
ATTRIBUTES AND EXPERIENCE YOU’LL HAVE TO BE SUCCESSFUL IN THIS ROLE:
Core & Mindset
Previous Data Developer, Data Engineer, or Data Analyst experience, ideally within a fast paced environment
Ability to work autonomously with exceptional attention to detail and accuracy
Technical Skills & Programming
- High proficiency in SQL programming language, and either Python/R/Java languages
- Experience with data manipulation packages, ETL Pipeline tools, data visualization platforms, and any software capable of data modelling
- Technical expertise regarding data models, data pipeline design, and structuring unstructured/freetext data into usable formats
- Experience working with cloud data warehouses (e.g. Snowflake), including building data lakes, managing freetext/unstructured storage, and modelling data into structured tables
- Experience building and publishing data products and interactive dashboards using data visualisation tools
AI, Machine Learning & Advanced Analytics
- Experience applying AI and Large Language Models (e.g. Claude) to extract, contextualise, and structure data from unstructured sources, with an understanding of prompt engineering and AI-assisted data workflows
- Experience designing or working with ontologies and entity-relationship models to map connections across datasets
Stakeholder, Leadership & Values
- Ability to manage stakeholder expectations, lead established partnerships, and plan, lead, and deliver projects, initiatives, and commercial targets, including cross-functionally
- Exceptional verbal and written communication and collaboration skills to partner effectively with cross-functional teams
- Demonstrate Aspermont Values – Collaborative, Innovative, Responsible, Agile, Brave & Enthusiastic
DESIRABLE / NICE TO HAVE BUT NOT ESSENTIAL:
- Proficiency in mathematical computing
- Familiarity with CRM or ESP environments (e.g. HubSpot, MailChimp)
- Familiarity with RAG (Retrieval-Augmented Generation) architectures, including data chunking, embedding, and vector indexing workflows
- Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or Haystack
- Knowledge of vector databases for AI-powered search and retrieval (e.g. Pinecone, Weaviate, pgvector)
- Understanding of AI governance principles, including bias detection, explainability, and responsible AI data handling
- Ability to clean and validate data to ensure uniformity and accuracy
- Ability to coach and train anyone to understand/utilise our tools and environments
WORKING AT ASPERMONT:
We offer a flexible working approach, offering the opportunity to work both from home, and our London office. Whilst working from home, you will benefit from managing your day how you chose around your work priorities and meetings. At the office, you’ll be able to benefit from the normal WeWork perks (free barista coffee, weekly events and classes, pool and foosball tables, and inspiring working spaces). Our full-time working hours are 37.5 hours per week.
Application question(s):
- Are you comfortable working from our London office 2-3 times per week on a hybrid basis?
- Please confirm your salary expectations
- Will your require employer visa sponsorship now or in the future?
- Are you authorised to work in the United Kingdom?
Work Location: Hybrid remote in London
