You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Experian

Analytics Consultant - Hybrid

  • Hybrid
  • 3-6 years

Salary

Not stated

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

The company combines consumer and commercial data with marketing solutions to help Australian businesses understand their customers and make decisions with more confidence. It works with some of the country's leading organisations.

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 work across marketing, data and analytics solutions.
  • Research client challenges and find solutions that fit their goals.
  • Judge whether a solution is feasible and look at how products, data and services can add value.
  • Prepare client presentations, proposals and supporting materials.
  • Take part in discovery sessions, solution workshops and client meetings.
  • Help prepare for meetings, follow up afterwards and hand over to delivery teams.
  • Work on implementation and delivery projects to build practical product knowledge.
  • Learn the company's consumer and commercial data, insights and marketing solutions.
  • Work with sales, product and delivery colleagues to improve client results.
  • As your skills grow, lead parts of client presentations and manage 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, and an interest in consumer data and marketing.
  • Curiosity, a readiness to dig into problems, ask good questions and explain your findings.
  • Some experience with analytical or data tools such as SQL, Python, R, Tableau, Power BI, Alteryx or Snowflake is useful, but expertise in all of them is not expected.
  • Clear written and verbal communication, and a desire to build presentation and client-facing skills.
  • Additional Information

Conditions

Hybrid work model.

The company is an equal opportunity and affirmative action employer. If you need an accommodation because of a disability or special need, tell them as early as possible.

Benefits

  • Novated leasing and salary packaging.
  • A strong 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.
  • The company describes its culture as people-first, inclusive and purpose-driven, and has received multiple workplace awards.

Where you’d work

Part of the week in the office

You can work from

  • Australia

About the company

Experian

Office in Sydney, 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

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
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
  • Sydney, Australia
Remote from
  • Australia

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason