BI Engineer - Big Data

Location: Sydney, New South Wales AU

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Job Number: 584

External Description:

Who is Equifax?

Equifax is a leading global data, analytic and technology company, supporting customers across 24 countries. We have been serving the Australian and New Zealand markets for over 60 years. Through continuously adapting to our environment, not only have we remained a market leader, we drive and challenge ourselves to do better to help our customers live their financial best.

Our people are what makes us great at what we do - we see every member of our team as an integral piece of a jigsaw. We celebrate differences and recognise that each person brings with them unique talents and perspectives. We provide our people the support and flexibility to manage their work-life balance. At Equifax we genuinely care about our people and our ability to come together as #OneEquifax.

The perks of being an Equifax employee within the Data & Analytics team? 

There are lots of perks of being an Equifax employee – we offer additional leave days as we recognise the importance of taking time out, whether that’s to catch up on some rest, celebrate a birthday, or give back to our community by volunteering. We are committed to the wellbeing of our people and provide them with discounted health cover through BUPA, access to comprehensive hearing services and discounts, and offer 24/7 support through our employee assistance program. Our leadership team fosters a culture of ownership, they will lead, coach, mentor and listen. We support one another to feel confident to speak up and hold each other accountable to work with integrity. 

Our success is our people, for we are truly united by our purpose and are encouraged and challenged every day to bring new ideas to help our customers make more informed decisions. Our outcomes focussed culture encourages thought leadership and innovation to ensure our ongoing success.

We are supportive and revel in working together on exciting projects. We see ourselves making an impact by utilising cutting edge/statistical modelling tools across hundreds of rich data assets and collaborating with some of the best data minds in Australia. Working within our diverse D&A team will provide you opportunities to gain exposure across all phases of the D&A lifecycle and work with some of our largest blue-chip customers.

What you’ll do:  

(This role is a 12 month Fixed Term Contract) 

The Business Science and BI / ML Engineering group within the Equifax Analytics function has responsibility for ensuring that Data and Analytics  is capable of delivering on client commitments, new product initiatives (NPI), and innovation. 

The function is responsible for defining current D&A capabilities, including its limitations, and for pushing the business forward on what capabilities are needed to meet its future.

The function itself does not deliver specific client or ad hoc projects, nor does the function build products. However, it is responsible for ensuring that the Data Science, Data Office, and Advisory functions have what they need to build out requirements from clients / product, and for ensuring that Sales, Product, and Marketing are informed of what D&A is capable of delivering on.

The function is heavily involved in interacting with all parts of the business to articulate and detail requirements, work on architecture, proof of concept, and when built by a Data & Analytics function, to be able to deploy it to production systems.

What are we looking for?

  • 3+ years’ experience in either analytics / data / data engineering / BI industry

  • Experience stakeholder facing skills and business acumen as well as technical competence

  • Stakeholder focused approach to solution design and issue resolution

  • Good written and verbal communication skills, ability to present complex information simply and directly

  • Flexibility to manage changing schedules and priorities and to be able to work independently with minimal supervision

  • High level of attention to detail

  • Strong numeracy skills and analysis skills 

  • Highly driven and results focused. Proven history of working in a proactive and persistent manner

  • Proactively pursues new opportunities. Perseveres and succeeds under stressful, ambiguous or challenging circumstances

  • Proficiency in SQL

  • Proficiency in Unix and Shell Scripting (Bash or similar)

  • Proficiency in BI software, in particular Tableau

  • A willingness to learn new applications and systems 

The following would be considered advantageous but not essential

  • Experience in data analysis software such as R or python 

  • Experience using Hadoop 

  • Experience with cloud technology, specifically GCP

Success attributes of an Equifax employee; does this describe you?

  • Accountable

  • Brave

  • Curious

  • Collaborative

  • Individualist

  • Trustworthy

  • Dedicated

At Equifax, there is no such thing as the 'perfect candidate'

Seeing responsibilities and competencies laid out on paper can be confronting. At this stage of the application process, sometimes imposter syndrome can creep in and mess with our confidence. Please know, we list these items to give you an opportunity to show us your potential and how you can grow and transform with us. 

Your ability to demonstrate that you possess/have the real potential to develop the required capabilities, knowledge, experience and qualifications to perform in our roles is what we would like to hear from you. Where possible, you should support your claims with specific examples of what you have done and how you did it. 

However you identify, and whatever background you bring with you, please apply if this is a role that would make you excited to come to work every day

Job Number: J00116495

Community / Marketing Title: BI Engineer - Big Data

Location_formattedLocationLong: Sydney, New South Wales AU

© 2019 Equifax, Inc. All rights reserved.

Equifax and the Equifax marks used herein are trademarks of Equifax Inc. Other product and company names mentioned herein are the property of their respective owners.



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