Senior Data Analyst (Sales & Commercial)

Details of the offer

Help us deliver like never before?  Australia Post is delivering like never before.
From the vehicles that we drive, to the small businesses that make our communities thrive.
We're delivering for the environment, for our communities, for our customers, and for our people.
We're moving forward and we want you to come along for the ride.
About the opportunity Reporting to the 'Finance Manager, Sales', you will help to improve the team's ability to handle large data sets and improve the processes that use this data through smarter process design and automation.
In particular, the annual sales target-setting process will be a focus.
What you'll deliver with us You will provide a critical conduit between various teams in finance and sales, playing a pivotal role in enabling the function to produce quality customer level financial forecasts.
Finally, you will partner with the sales team on BAU finance activities throughout the year.
You'll also?   Use best practice data analytics techniques to help shape large data sets in MS Excel and TM1, utilising TM1 (or GCP) tools as effectively as possible Detailed documentation all processes involved in the current sales target setting process, utilising best practice documentation methodologies to identify process inefficiencies  Work collaboratively across functions, particularly technical teams including Finance Systems and Sales Operations to shape data, design processes and reduce wastage Use large data sets and analytical techniques to improve our ability to forecast financial performance at a customer segment and individual customer level Help to drive a process and data focused culture across the team, share knowledge,  and coach other team members in finance to lift capabilities in data analysis and process design Business partner with a segment area of the Sales team on all BAU activity, including sales targets, quarterly exceptions, cost models and general queries About you?  Minimum 5 years experience in a data and analytics, or similar role that involved working with large data sets Direct experience with process mapping and process documentation e.g.
Six Sigma or equivalent Experience in handling large data sets in TM1 or equivalent data cubes.
TM1 and/or GCP programming ability will be viewed favourably Experience in a large organisation with a matrix structure that requires working collaboratively with teams of finance and non-finance professionals Proven ability to redesign processes and utilise automation to drive efficiency in work effort How we'll deliver for you Join one of the most culturally and linguistically diverse workforces in Australia, where we're all ages, genders and come from all walks of life We deliver on our values of Trust, Inclusivity, Empowerment and Safety every day.
They're the TIES that bind our team together  Immerse yourself in the AP Way – where every single team member partakes in a learning module to help understand the vital role we play in delivering our strategy and purpose.
We're delivering together  At Australia Post, we acknowledge the Traditional?Custodians of the land on which we operate, live and gather as employees.
We believe our business should reflect the diverse communities we operate in and are proud to be an inclusive workplace for people from all walks of life.
We encourage applications?from people of all ages, genders and backgrounds including Aboriginal and Torres Strait Islander peoples, People with Disability, LGBTQIA+ and Refugees.
We are one of the largest organisations in Australia to successfully achieve Disability Confident Recruiter status.
We are committed to providing an inclusive and barrier-free recruitment process and workplace for those living with a disability and are committed to reviewing and removing bias in our processes to create a gender-equitable recruitment experience and workplace.
If you have any questions about accessibility, please contact our Diversity & Inclusion team on ******


Nominal Salary: To be agreed

Job Function:

Requirements

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