Analytics Consultant - Hybrid

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Sydney or Melbourne | Experian Marketing Services

At Experian, we believe data can create opportunities for people, organisations, and communities. As a global leader in data‑driven marketing solutions, we help clients make smarter decisions and build stronger customer connections through meaningful insights.

We're looking for an Analytics Consultant who is collaborative and motivated by solving real‑world problems with data. If you enjoy learning, partnering with diverse partners, and growing your technical and consulting skills, we'd love to hear from you.

What you'll work on

• Create customised analytics solutions, adapting existing processes to meet each client's needs while deepening your understanding of marketing and customer data.
• Work directly with clients, helping translate technical insights into clear, meaningful recommendations for both technical and non‑technical audiences.
• Support end‑to‑end analytics projects including data profiling, descriptive analytics, enrichment, dashboarding, and propensity modelling, gaining hands‑on experience across varied datasets and use cases.
• Help guide innovation and operational improvements, contributing ideas that improve workflows and enhance data quality, automation and delivery efficiency.

What you'll bring

You don't need to meet every requirement to apply. We welcome people with diverse skills, backgrounds and experiences.

We're looking for someone with:

• A tertiary qualification in analytics, statistics, marketing, economics, or a related quantitative field
• Around 2–4 years of experience working with data
• Analytical thinking and problem‑solving skills
• 2+ years of experience using tools such as SQL and Excel (can perform complex functions)
• Exposure to cloud environments (e.g., Snowflake, AWS)
• Curiosity and interest to learn tools like Python, R, Tableau, or Power BI
• Clear communication skills and the ability to explain insights in an approachable way
• A collaborative mindset and comfort taking ownership of tasks

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here