Role summary

The Analyst, Foundation Analytics role is a technical individual contributor role within a cross-functional team accountable for the delivery of a data asset roadmap. Working together with the Analytics Lead, Delivery Managers and other technical specialists from analytics and software engineering disciplines, the Analyst will support Analysts and Senior Analysts in the design and specification of analytics that forms part of the core solution offered by Quantium foundation data assets products.

Key responsibilities

·         In collaboration with a wider team of analysts, deliver advanced analytics solutions for one of Quantium’s data assets

·         Aptitude for learning and acquisition of key analytical, technical and commercial skills and Quantium business knowledge

·         Display interest in your career progression and acquisition of industry knowledge

Key activities

·         Data extraction and manipulation

·         Delivery of tasks to support a data asset roadmap and BAU data operation tasks, working in a cross-functional team managed by an Analytics Lead or Delivery Manager

·         Writing the first draft of specifications for an analytics algorithm to be implemented by software engineers

·         Carrying out a process required for BAU delivery of any aspect of the data asset that needs regular production operations

·         Investigating objections or issues raised by users

·         Following best practice guidelines, tools and formal processes for analytics practised at Quantium

·         Acting on advice and guidance around how to continuously improve own performance and drive own career development

·         Participation in Analytics Community initiatives, such as participation in events

Experience and education required

To be successful in this role the key competencies required include:

·         2-3 years’ experience in a highly technical analytics environment, carrying out data analytics or data science work

·         Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline

·         Developing knowledge of technical analytics discipline, including data preparation, experiment design, feature engineering and foundational analytics concepts

·         Sound knowledge of one or more technical tools and coding languages that are used for analytics

o    A broad range is used at Quantium and the concepts are transferable, so we do not require a specific set of tools

o    However, some tools and programming languages that might qualify include (in no particular order): Scala, R, Python, SQL, Haskell, SAS, MATLAB, S-Plus, C/C++, Perl

·         Strong problem-solving skills, including ability to apply a systematic problem-solving approach

·         Solid interpersonal skills, as the role will need to work in a cross-functional team with both other analysts and specialists from non-analytics disciplines

·         Ability to carry out work following analytics best practice as defined at Quantium for the relevant types of tools or techniques

·         Attention to detail

·         Drive for continuous improvement

What does success look like?

After 3 months in the role the incumbent will be:

·         able to apply professional knowledge and understanding to technical problem solving

·         knowledgeable about Quantium’s data, products and solutions

·         across all the processes required to deliver against the role

·         able to work effectively in a team

After 12 months in the role the incumbent will:

·         demonstrate proactivity in owning tasks and seeking development opportunities with support from more senior team members (e.g. attending knowledge sharing sessions, determining development areas, seeking relevant work experience)

·         proactive communication on work progress and escalating complexities with relevant stakeholders

·         proactively engage with wider team to identify and implement any improvement initiatives