Data Consultant

Job description

As part of the global leader Bain & Company, Proxima is an award-winning management consultancy specialising in procurement and supply chain . With vibrant offices in London, Leeds, Cardiff, Düsseldorf, Chicago, Singapore, Hong Kong, Kuala Lumpur, Sydney and Melbourne , we offer a dynamic hybrid working model that blends time on client sites, at home, and in your local office. We are experiencing significant growth in APAC and are currently seeking a Data Consultant to join our growing analytics team in Melbourne . This role sits at the intersection of data analysis, consulting delivery, and client impact. You will work closely with consulting teams and clients to transform data into clear insights that support better commercial and procurement decisions. This is a hands-on role involving end to end analysis, structured problem solving, and close collaboration with consultants and client stakeholders across a range of industries. Key responsibilities: Deliver end‑to‑end analytics across procurement and commercial engagements, from data preparation through to insight generation Run spend, opportunity, and performance diagnostics , identifying themes, risks, and value opportunities Build clear, well‑structured analytical outputs to support sourcing, negotiation, savings, compliance, and performance decisions Develop and maintain robust baselines, benefits views, and assumptions with clear traceability Create high‑quality data visualisations and decision‑support outputs for consulting teams and clients Apply established analytics methods, category playbooks, and value levers , adapting them to client context Communicate findings clearly , explaining analytical logic, limitations, and implications Contribute to automation, templates, and reusable assets that improve efficiency and consistency Ensure analytics work aligns with data quality, governance, and compliance expectations Skills and experience: Experience delivering data analysis or analytics in a consulting, procurement, commercial, or analytical environment Strong capability in data preparation, analysis, and interpretation , with sound data literacy Ability to structure analysis into clear worksteps and explain findings confidently to stakeholders Experience working with BI, analytics, or data tools to produce repeatable, high‑quality outputs Comfortable working with imperfect or incomplete data , applying judgement and transparency Strong attention to detail, organisation skills, and ownership of outputs Collaborative mindset and willingness to learn and adopt common methods and standards