Job Summary
As a Data Science Analyst, you are proactive and curious about finding hidden patterns in data to deliver better customer and business outcomes. You collaborate with your colleagues to drive data led decision making across Telstra. By supporting the business to identify opportunities and risks you are central to our success.We're an iconic Aussie brand with a global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network.
This includes making Telstra the place you want to work.
For you, that means a having career that grows with you, and working with a team powered by human connection that prioritises well-being and choice.
Here’s what you can expect from us
• Flexible working. Wherever you live, choose where, when, and how you work so you can be at your best.
• There when life happens. From Gender Affirmation Leave to Telstra’s Additional Leave Day, we give you time to spend away from work when you need it most.
• Pay for performance. We recognize outstanding contributions through our generous incentive programs.
• Parental Leave. A gender-equal policy for parents so you can choose how and when you take your leave (16 weeks full pay or 32 weeks half pay). Receive superannuation contributions on paid and unpaid parental leave.
• Unlimited learning. Level up your credentials with access to 17,000 learning programs. Learn ‘on the job’ and achieve university credits toward degrees and Master's programs.
• Global presence. With a global presence across 22 countries, there are many opportunities to work where we do business.
• Extra perks. Receive 25% off Telstra products and services, plus unlock exclusive discounts from over 240 brands and partners.
Make a Difference
As a Data Science Analyst, you are proactive and curious about finding hidden patterns in data to deliver better customer and business outcomes. You collaborate with your colleagues to drive data led decision making across Telstra. By supporting the business to identify opportunities and risks you are central to our success.
Key Responsibilities
This is how you’ll bring the purpose of your role to life.
Play an active role in integrating multiple data sources, identifying trends and providing meaningful insights that tell a compelling story and answer relevant questions for the business. Insights require:
Complex understanding and representation of promotional impacts on demand
Strong domain knowledge on various accessories and behaviour
Comprehensive understanding of different algorithms and modelling packages
Analysis of financial benefits on a granular level
Development of high accuracy models across a long term forecasting timeline
Mine, analyse and model data from complex data sets using advanced data science techniques to help generate insights and recommendations that add value to stakeholders and customers.
Use predictive and prescriptive analytics to generate insights for actionable recommendations based on impact and value for the business
Collaborate with the team to assess the feasibility of a scope of work and understand, translate and design for user requirements
Define business problems, assist with the development of hypotheses, undertake relevant reporting, summarise the insights and make recommendations for action
Resolve stakeholder queries independently and refer to others when genuinely needed
Advanced experience in working with forecasting leveraging deep learning, FB Prophet, Statistical methods, Regression, and other latest ML techniques
Advanced experience in creating and building Power BI dashboards
Advanced experience in creating automated AI solutions in AzureML
Advanced experience in creating classification models and clustering
Proficiency in Python, Excel, Power BI, SQL
Determining the methodology and tracking financial impact of various AI solutions
Strong stakeholder management and communication of solutions
Play an active role in the Data Science community by developing your knowledge of cutting-edge advancements in big data and data science and supporting continuous improvement initiatives
About you
To be successful in the role, you'll bring skills and experience in:
• Analytical thinking
• Automating data
• Automation solutions
• Communicating with audience awareness
• EDA (Exploratory Data Analysis)
• Advanced experience in Predictive & Prescriptive analytics
• AzureML Eco System
• Proficiency in Python, Excel, Power BI, and SQL
• Requirements Specification
• Stakeholder Management
• Statistical modelling
• User Experience
If you are passionate to succeed as part of an agile and experienced team, we welcome you to apply!
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We encourage applications from people of all abilities and backgrounds - including Aboriginal and Torres Strait Islander peoples, the LGBQTI+ community, linguistically diverse, and people living with disability. When you apply, you can choose to note the pronouns you use and /or any reasonable adjustments needed to take part equitably during the interview process. Visit
www.telstra.com.au/careers/diversity-and-inclusion or email us at DisabilityandAccessibility@team.telstra.com noting your preferred method of contact
Recruitment Start Date:11/12//2024
Recruitment End Date: 08/01/2025