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Experian

Analytics Consultant - Hybrid

  • Hybrid
  • 3-6 years

Salary

Not stated

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Description

The company helps businesses understand consumers and make confident decisions using data, working with some of Australia's leading organisations. It combines consumer and commercial data with marketing solutions to address business challenges.

This presales role suits someone with a background in analytics, marketing technology, data, insights or a related field who wants to build consulting and client-facing skills.

You will report to the Principal Analytics Consultant and work alongside experienced presales consultants, sales teams and solution experts. You will learn to understand client needs, shape solutions and explain the value of the products. Hands-on project work, coaching and client exposure will help you grow into a trusted consultant.

Responsibilities

  • Support presales opportunities across marketing, data and analytics solutions.
  • Research client challenges and find solutions that fit their goals.
  • Judge whether solutions are feasible and work out how the products, data and services can add value.
  • Build client presentations, proposals and supporting material.
  • Take part in discovery sessions, solution workshops and client meetings.
  • Help prepare for meetings, handle follow-up and hand opportunities over to delivery teams.
  • Contribute to implementation and delivery projects to build practical product knowledge.
  • Learn the company's consumer and commercial data, insights and marketing solutions.
  • Work with colleagues in sales, product and delivery to improve client outcomes.
  • As your skills grow, take on leading parts of client presentations and run your own presales opportunities.

Requirements

  • Around 2 to 3 years' experience in an analytical, technical, data, marketing or related role.
  • A degree, or equivalent experience, in analytics, business, marketing, data, technology or a related field.
  • Strong analytical and problem-solving skills, with an interest in consumer data and marketing.
  • Curiosity, a willingness to dig into problems, ask good questions and explain your findings.
  • Clear written and verbal communication, with a drive to develop presentation and client-facing skills.
  • Experience with analytical or data tools such as SQL, Python, R, Tableau, Power BI, Alteryx or Snowflake is useful but not essential. Expertise across all of them is not expected.

Conditions

Hybrid work model.

Equal opportunity employer. If you need an adjustment during the process, tell us as early as possible.

Benefits

  • Novated leasing and salary packaging.
  • Competitive compensation package with a bonus or commission plan.
  • Core benefits including a discount on company shares and a wellness program.
  • Flexible time off, including volunteer time off, personal leave and paid holidays.
  • 17 weeks of paid parental leave, family care leave and up to 5 days of study leave.
  • A people-first, inclusive culture recognised with multiple awards, including World's Best Workplaces 2025 (Fortune Global Top 25).

Where you’d work

Part of the week in the office

You can work from

  • Australia

About the company

Experian

Office in Australia

Also hiring in United States, Sofia, Bulgaria, CA, United States and 5 more places

5 of their 33 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

Still hiring?

13 checks

1 red flag

How crowded?

6 checks

1 red flag

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Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • Tableau
  • Snowflake
  • Power BI
Type
Full-time
Specialty
Solutions Engineering
Region
Australia
Pay period
Annual
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Experience
3+ years
Tech stack
  • Python
  • SQL
  • Tableau
  • Snowflake
  • Power BI

Location

Work model
Hybrid
Region
Australia
Office
  • Australia
Remote from
  • Australia

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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