Optus

The Data Analyst within the Data Analytics team is a critical role under the Data Science & Analytics function within the new Data Centre of Excellence (DCoE), Marketing and Product. The DCoE is being established as a core function of the Marketing and Product team at Optus to help realise the vision of becoming a customer-centric, digital telco, driven by a data and advanced analytics capability that delivers exceptional and cost-effective employee and customer experiences and optimises customer and household revenue growth. The role Enablement of data driven decision-making from proactive insights that will drive a step change Optus’s understanding of the customer and products Develop a solid knowledge of business metrics and ongoing performance drivers and levers for your business unit/s. Effective translation of business requirements into analytical tasks. Support the delivery of the Analytics strategy to evolve our analytics capability beyond descriptive and diagnostic to being proactive and delivering prescriptive, preventive and predictive solutions for Optus which may involve new or improved models, technology or techniques to meet the business objectives. Consolidating information from across the Data Marketing Transformation team to present a holistic view of product performance and customer behaviour including Optus data warehouse, Research, Data Scientists, Commercial, External Market Analysis and Marketing Campaigns Reviews. Identify, analyse, and interpret trends or patterns in complex data sets and analyse results using statistical techniques to develop insights and recommendations. Closely collaborating with the Data Science team to share insights and provide requirements and recommendations on when advanced data models could be developed and implemented to improve the business outcomes. Act as Subject Matter Expert for Insight Analysts in key technical areas including: Optus systems and data flow; data analytics & SQL; statistical analysis; commercial analysis; forecasting; customer behaviour and profiling. The perks We offer all kinds of benefits, such as: Work collaboratively in an open, agile environment with flexible working hours and location Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!) Mobile and Broadband staff discounts Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff buses to Epping and Wynyard, and back again About you Preferred skills and experience include: Tertiary qualifications in a quantitative field (e.g. Mathematics, Computer Science, Finance, Engineering, Statistics)  Advanced Excel Minimum 3 years of demonstrated exposure to a variety of Marketing, Sales and/or Commercial functions in large organisation Proficiency in analytical techniques (SQL, SAS coding skills, statistical modelling) Experience in a marketing or commercial environment (product, strategy, research) Strong understanding of data warehouse structure and data extraction Excellent communication and presentation skills Proven ability to work through complex issues to reach an outcome Demonstrated analytical skills developed from experience in similar roles Telecommunications or Financial Services experience Internal or external consulting experience preferred You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment. About us At Optus, we don’t sit back and let the future happen to us – we’re out there making it.  By expanding into new technology and relentlessly improving every day, we’re working to create a better tomorrow for all Australians. Optus believes in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers.

Position Summary   The purpose of this role is to be responsible for Tier 3 Support of the Optus Networks Clouds, the Clouds will be based on NFVI (Networks Function Virtualized Infrastructure), VMware, Container and Public Cloud. This Infrastructure/Software will be the foundation for all the future Optus Networks Core Growth. This will require working with different of the Networks team, IT team and SingTel counterpart. This will include:   Responsible for implementation, testing and operation of HW/SW components of Networks NFVI Responsible for tenant integration and testing into Networks Clouds. Responsible for Tier 3 support for Network Clouds, has accountability and ownership for problem identification and recommend solution(s). Responsible for developing and operating in-house coding to support Optus Networks Clouds environment.   Key Responsibilities   Responsible for implementation, testing and operation of HW/ SW components of Networks Clouds. Coordination of implementation and installing of HW/ SW components, provide support by problem solving Responsible for administration and configuration of HW/ SW components Responsible for integration of new technologies (HW/ SW), upgrades of HW/SW Preparing and adapting of service catalogue, templates and application models Responsible for review of technical. studies and design proposals for Networks Clouds Communication and cooperation with 3rd parties/ vendors Technical lead on solving and eliminating of ops issues (incl. Ticket sending) Monitoring/tracking performance of systems (KPI) Future needs proposals for cost efficiency in terms of operation improvements. Responsible for preparation and administration of the technical documentation Participation in the projects, preparing of project documentation Utilize a wide variety of open source technologies and tools Perform frequent, incremental code testing and deployment   Experience and Qualifications   Computer Science, Information Systems or related field University education (Bachelor's degree) 5+ years’ experience in Tier3 environment. Ability to Integrate, Test, and trouble-shoot in Mobile Networks technology. 2 years’ experience in area of platforms design or testing, competence in NFVI, VMWare, Openstack, KVM, Containers, Public Cloud, orchestrators, admin of Unix/Linux based Computer, Network and Storage Infrastructure Cloud OS, Operation SW and Hypervisors IP Services Experience with SDN and Network Virtualization technologies a strong plus (Open vSwitch, VxLAN, DPDK, NFV) Knowledge of network hardware, TCP/IP, routing, switching, network security and telecommunication circuits Strategic Thinking Customer Focus - Act with customers in mind by being dedicated to meeting expectations and requirements of internal and external customers. Problem Solving - Gathers information to assess situations, identifies root cause of the problems, evaluates options, takes calculated risks and makes effective decisions. Business Acumen - Understands the profile of SingTel’s businesses across the group. Optus believes in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers.

Position Summary This position reports to the Associate Director, Portfolio Management Integration within the Core Systems (CS) business unit and Group IT division. The DevOps Support Engineer’s role is an essential role in the CS team. The incumbent is responsible for proactively maintaining CS productions systems so that risks to loss of availability or performance are mitigated before an impact occurs. CS systems must be available a minimum of 99.95% of the time. The incumbent will also be required to make code and configuration changes to CS systems. The incumbent will perform regular analysis of the applications, data, network, and technical components of the CS systems and work with application architects to plan future architectures, design and develop POC’s to explore new concepts. Key Responsibilities Improve infrastructure performance and operational efficiency by reducing service downtime and maintaining or reducing transaction duration times. Maintain key internal systems and services to keep CS as a team functioning. E.g. Version Control, System conformance, Knowledge support, release and deployment systems. Complete all required training courses within the allocated timeframes. Liaise with stakeholders such as internal and external development teams, and relevant IT teams ensuring ensure all stakeholders are considered and are informed of issues and risks in production. This will be measured by the number of escalations pertaining to lack of communication of production issues and risks. Develop Subject Matter Expertise for the managed CS Products and Platforms. Ensure that all standard operating procedures, known issues and workarounds are documented in the knowledge support systems ( i.e. wiki ) Follow Change Management processes and procedures ensuring all necessary documentation is completed in necessary timeframes. Maintain CS systems and make recommendations for improvements to those systems. Write code and change config to facilitate the improvements. Resolve CS incidents within SLA’s. This will be measured by the IT fault management reporting systems. Maintain and Operate the Core Systems Container platform ensuring hazardous conditions are remediated before they become service impacting. Skills and Experience Required 5 – 8 years industry experience in a devops team, IT or engineering projects. Degree in Engineering , Computer Science Knowledge of business processes and technical strategies that enable IT to support business needs A minimum of 5 years’ experience working in the operations team of a large complex organization such as a Tier 1 telco or Bank. Demonstrated experience in build and release management processes.( CI/ CD ) Demonstrated experience with software repositories such as GIT & Stash Demonstrated experience with java build CI/CD tools such as Jenkins Maven & Openshift Demonstrated experience with automation tools Puppet Enterprise, Docker, Ansible Java Software development skills. Experience with Openshift ( Docker + kubernetes  ) Optus believes in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers.

The purpose of this role is to provide a high level of business and technical consultancy in all areas of Information Communications Technologies (ICT) to strategic customer accounts.  We’re looking for an experienced individual who exhibits in-depth technology and business knowledge across a range of industry segments and technology specialties within the ICT space to deliver solutions to Optus customers. The role will place a strong emphasis on the value proposition of ‘enterprise-wide’ solutions to address a customer’s varying business needs. A strong background in the areas of telecommunications, information technology, applications and implementation/migration challenges across a range of industries and markets is a must.  You must be capable of developing innovative / complex ICT road maps, articulating the plan and influencing senior management both externally and internally.  You’ll also be responsible for providing direction and leadership to technical teams, potentially drawing on expertise from the broader Optus business when targeting major opportunities and developing associated proposals. This will include being responsible for supporting complex major accounts whose commercial needs require sophisticated, innovative and integrated business solutions. As the overall solution owner for all streams of a major customer engagement, covering ongoing relationship and major offer stages: Ongoing relationship:  providing professional enterprise-wide design and consultancy services to develop innovative ‘whole-of-business’ relationships on an ongoing basis, to address customer business requirements through technology, application and services Offers stages:  providing major solution offers (bids), covering technology and commercial ownership, and is instrumental in defining the winning business-to-technology value proposition. The role will be extensively customer facing and requires a strong rapport with the customer with extensive experience of presenting to the C-level executive, contribution to proposal authoring and innovative thinking. The position provides a key link between the sales process, product capability owners, and implementation teams. About you: You will bring substantial working experience in the Communications & Information Technology industries providing technical and consulting support. Coupled with broad-based ICT/Telecommunications systems design background with detailed understanding of enterprise-wide system architecture and service management methodologies. Additionally, we will also require the following; Ability to show previous experience designing, implementing and supporting resilient networks with complex routing, in an enterprise environment Knowledge of network security, firewalls, architectures and network protocols Demonstrated project coordination and leadership experience Effective communication skills (both written and verbal) Demonstrated ability to work in a team (both leading and participating) A natural ability to engage clients on all levels, and manage stakeholders Strong knowledge of network switching and routing (LAN/WAN), Wireless and Data Centre networking Experience managing and configuring LANs, WANs, WLANs, VPNs etc Cisco networking (routers, switches, firewalls) Working across documentation and processes Knowledge in the cloud environment either AWS or Azure Good experience in Network & Security policy engine design, implementation (Cisco ISE, Aruba ClearPass) Expert hands-on experience with Data links, routers, switches, firewalls & load balancers Good knowledge of MPLS networks, TE and QoS as well as VPN technologies Strong understanding of routing protocols - BGP, OSPF, IGRP, EIGRP Etc. Knowledge of SD-WAN architectures Optus believes in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers.

The Data Center of Excellence has been being established in the Digital Consumer team at Optus to help realize the vision of becoming a customer-centric organization, driven by a data and analytics capability that enhances customer interactions and revenue generation. The  Senior Big Data Engineer  is responsible for  the development and automation of Big Data ingestion, transformation, and consumption services; adopting new technology; and ensuring modern operations in order to deliver consumer-driven Big Data solutions. The role Implement request for ingestion, creation, and preparation of data sources Develop and execute jobs to import data periodically/ (near) real-time from an external source Setup a streaming data source to ingest data into the platform Delivers data sourcing approach and data sets for analysis, with activities including data staging, ETL, data quality, and archiving Design a solution architecture to meet business, technical and user requirements Profile source data and validate fit-for-purpose Works with Delivery lead and Solution Architect to agree on pragmatic means of data provision to support use cases Understands and documents end-user usage models and requirements The perk We offer all kinds of benefits, such as: Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff buses to Epping and Wynyard, and back again About you Preferred skills and experience include: Bachelor’s degree in maths, statistics computer science, information management, finance or economics PhD in Data Science, Mathematics, Statistics, Economics, Engineering, Operations Research, Computer Science – desirable 3 -5 years’ experience integrating data into analytical platforms Experience in ingestion technologies (e.g. sqoop, nifi, flume), processing technologies (Spark/Scala) and storage (e.g. HDFS, HBase, Hive) Experience in data profiling, source-target mappings, ETL development, SQL optimization, testing and implementation Expertise in streaming frameworks (Kafka/Spark Streaming/Storm) essential Experience managing structured and unstructured data types Experience in requirements engineering, solution architecture, design, and development/deployment Experience in creating big data or analytics IT solution Track record of implementing databases and data access middleware and high-volume batch and (near) real-time processing You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment.

The Data Analyst within the Data Analytics team is a critical role under the Data Science & Analytics function within the new Data Centre of Excellence (DCoE), Marketing and Product. The DCoE is being established as a core function of the Marketing and Product team at Optus to help realize the vision of becoming a customer-centric, digital telco, driven by data and advanced analytics capability that delivers exceptional and cost-effective employee and customer experiences and optimizes customer and household revenue growth. The role Enablement of data-driven decision-making from proactive insights that will drive a step-change Optus’s understanding of the customer and products Develop a solid knowledge of business metrics and ongoing performance drivers and levers for your business unit/s. Effective translation of business requirements into analytical tasks. Support the delivery of the Analytics strategy to evolve our analytics capability beyond descriptive and diagnostic to being proactive and delivering prescriptive, preventive and predictive solutions for Optus which may involve new or improved models, technology or techniques to meet the business objectives. Consolidating information from across the Data Marketing Transformation team to present a holistic view of product performance and customer behavior including Optus data warehouse, Research, Data Scientists, Commercial, External Market Analysis, and Marketing Campaigns Reviews. Identify, analyze, and interpret trends or patterns in complex data sets and analyze results using statistical techniques to develop insights and recommendations. Closely collaborating with the Data Science team to share insights and provide requirements and recommendations on when advanced data models could be developed and implemented to improve the business outcomes. Act as Subject Matter Expert for Insight Analysts in key technical areas including Optus systems and data flow; data analytics & SQL; statistical analysis; commercial analysis; forecasting; customer behavior and profiling. The perks We offer all kinds of benefits, such as: Work collaboratively in an open, agile environment with flexible working hours and location Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!) Mobile and Broadband staff discounts Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff buses to Epping and Wynyard, and back again About you Preferred skills and experience include: Tertiary qualifications in a quantitative field (e.g. Mathematics, Computer Science, Finance, Engineering, Statistics)  Advanced Excel Minimum 3 years of demonstrated exposure to a variety of Marketing, Sales and/or Commercial functions in large organisation Proficiency in analytical techniques (SQL, SAS coding skills, statistical modelling) Experience in a marketing or commercial environment (product, strategy, research) Strong understanding of data warehouse structure and data extraction Excellent communication and presentation skills Proven ability to work through complex issues to reach an outcome Demonstrated analytical skills developed from experience in similar roles Telecommunications or Financial Services experience Internal or external consulting experience preferred You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment.

The role of  Chapter Lead – Data Engineering  is to drive consistent and production-grade data engineering practices and frameworks across Optus data platforms and lead Data engineering teams across multiple agile squads. The role   is responsible for the development and automation of Big Data and Cloud ingestion and transformation pipelines and data consumption services, and ensuring modern operations to deliver consumer-driven Big Data and Cloud-enabled solutions. This role manages inter-dependencies with other ongoing data initiatives and manages demand/supply for Big Data and Cloud engineering resources in the chapter. The role Implement request for data ingestion, transformation, and preparation of data sources in an Agile squad Develop and execute jobs to import data periodically/ (near) real-time from an external source Setup a streaming data source to ingest data into the platform Deliver data sourcing approach and data sets for analysis, with activities including data staging, ETL, data quality, and archiving Profile source data and validate fit-for-purpose Works with Delivery lead and Solution Architect to agree on pragmatic means of data provision to support use cases Manage data engineering activities in a squad and support product owner in key decisions Maintain relationships and manage interdependencies across other data analytics squads across Agile Tribes Manage talent acquisition and development of chapter members in modern technologies The perks We offer all kinds of benefits, such as: Work collaboratively in an open, agile environment with flexible working hours and location Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!) Mobile and Broadband staff discounts Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff busses to Epping and Wynyard, and back again About you Preferred skills and experience include: Bachelor’s degree in maths, statistics, computer science, information management, finance or economics 8-15 years of hands-on advanced experience in Big data and Cloud engineering solutions and leadership of large-scale engineering teams. Deep understanding of business and analytics objectives. Ability to drive the design and development of Data Lake standards. Experience in Lamba and Kappa design frameworks leveraging Hadoop batch and streaming components Experience in design and build of data lake/hub environments in large telco organizations Experience in ingestion technologies (e.g. sqoop, nifi, flume), processing technologies (Spark/Scala) and storage (e.g. HDFS, HBase, Hive) Experience in data profiling, source-target mappings, ETL development, SQL optimization, testing and implementation Expertise in streaming frameworks (Kafka/Spark Streaming/Storm) essential Experience managing structured and unstructured data types Experience in requirements engineering, solution architecture, design, and development/deployment Experience in creating big data or analytics IT solution Track record of implementing databases and data access middleware and high-volume batch and (near) real-time processing Agile Ways of Working experience (preferably in the capacity of a Chapter Lead across Agile Tribes) Strong value realization skills, including understanding the financial implications of initiating or foregoing decisions Effective communicator – able to present content and gain buy-in from stakeholders Able to lead Data engineering teams across multiple squads and address conflicting priorities You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment.  

About DSpark DSpark (a Singtel Group Asia Pacific company) was created from a vision to provide powerful insights and advanced analytics capabilities to businesses and government agencies in Australia to help transform the rich and unique repository of spatial-temporal data, such as those coming from telecommunication networks, into business value and social impact. Our data science products such as Mobility Genome™ and Mobility Intelligence Platform, along with our advanced analytics services strive to be trustworthy and relevant to our clients while adhering to the highest standards of data privacy. DSpark Australia has big ambitions to become a major big data and analytics player in the analytics software and consulting space. As part of our highly energetic and dynamic team, we are looking for a highly motivated, highly disciplined individual to join us as a Data Science Consultant to help our customers create value for their unique needs using our products. You will join a growing team of highly motivated and capable individuals who aspire to create deep insights and to productize those insights to deliver maximal business growth. You will gain from the combined decades of Data Science experience around you from some of the leading senior Data Science practitioners in Australia to develop your expertise and your career in the field. Our team are data enthusiasts with a collaborative ethos who love to share knowledge and want to build something unique with a true unstructured big data set that is one of the few such large datasets actually available in Australia. This is a rare opportunity to experiment, play and commercialize at full scale such a unique dataset. Key responsibilities Evangelize DSpark’s products to customers, and help them to succeed in using our products on a continuous basis Analyze technical and business requirements for prospective or active customer projects, in accordance to DSpark’s Product Management Framework Translate business needs to analytics and data needs, and propose how DSpark products can meet those needs Provide feedback to the Product team on how well the existing products meet customer needs and new needs that could be considered for the product roadmap Build Proofs-of-Concept (POCs), including data extraction, analysis, visualization, and reporting, to demonstrate the value of DSpark products to customers Provide technical input to customer proposals, including product selection, feasibility, and effort Conduct customer onboarding and training, including using DSpark APIs and other data products Assist customers and advise them about using DSpark products, interpreting and using DSpark data for further analysis, and transforming data outputs into usable formats in the customers’ environments Provide first-level technical support and troubleshooting to customers Define customer success metrics for each customer Help customers achieve success in the use of DSpark products Ensure continued success and adoption of DSpark products Serve as the bridge between the customer, the Commercial team and the Product team regarding customer needs. The perks We offer all kinds of benefits, such as: Work collaboratively in an open and agile Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!) Mobile and Broadband staff discounts Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff busses to Epping and Wynyard, and back again About you BA/BS degree in Computer Science, Analytics, or equivalent applied quantitative field 5+ years of experience in data analysis applied statistics or machine learning in solving business problems 3+ years of experience in a customer-facing, stakeholder engagement role Experience in implementing data products or systems with demonstrated positive business impact Intermediate to advanced programming skills in at least two of Python, R, Scala, JavaScript or Java Expert knowledge and application of Big Data technologies for distributed computing and processing of large-scale commercial data, including HDFS and Spark Mastery of calling APIs, ingesting data, transforming data, performing data analysis, building models, and visualizing data Demonstrated clear and thorough logical and analytical thinking, as well as problem-solving skills Superior proactive communications skills, including verbal, written, and presentation to both technical and non-technical audiences Aptitude for working on multiple projects in parallel  

Optus’ Data and Analytics Centre of Excellence’s (DnA COE) purpose is to deliver a full data and analytics capability, to help Optus to transform into a customer-centric data-led organization. The role of  Data Scientist  is responsible for supporting the development of our machine learning analytics capability and helping discover information hidden in vast amounts of data, wrangling & engineering that information into predictive & meaningful features for the Optus Unified Customer Analytics Record (UaR) to support data science initiatives. Key responsibilities: Collaborate across with squad members, Product Owners, Tribe Leads, Data Science, Analytics and AI Chapter Leads and others to develop and accelerate the engineering of features and build & deployment of data science assets Understand data sources, conduct data discovery, apply basic, complex and/or data science techniques to produce features for automation using a hypothesis-driven approach Delivery outcomes, e.g. production of features into the Optus Unified Analytics Record (UaR) to deliver Data Science & ML powered insight Recommend additional data sources, data discovery and develop new algorithms from big data assets and productions these to the UaR Planning and executing ML and data science (which includes but not limited to propensity modeling, machine learning, mathematical optimization) Maintaining a working knowledge of best practice analytics, tooling, data science environments, and modeling techniques, and identifying ways to implement them into the Optus environment Assist with the identifying and developing new and emerging trends and working with suppliers to develop new and innovative approaches to analytical modeling The perks We offer all kinds of benefits, such as: Work collaboratively in an open, agile environment with flexible working hours and location Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!) Mobile and Broadband staff discounts Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff buses to Epping and Wynyard, and back again About you Preferred skills and experience include: Have a desire to work in an Agile environment – where we take it on, grow & value every voice Enjoy being hands-on and possess strong attention to detail Be excited to apply your data science knowledge to develop meaningful & predictive features for the wider analytics community Be flexible, adaptable to change and enjoy dynamic environments Understanding of Big Data and knowledge of Scala, Spark & Hadoop Bachelor’s Degree in quantitative (Engineering, Maths, Economics, Science or IT) 5 years’ experience in advanced data analytics or machine learning/AI Exposure to engineering real-time decision platforms and systems Understanding the use of data science to support marketing initiatives Proven experience managing projects end to end both individually and within a team Experience in managing technical data analysis work You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment.

Optus’ Data and Analytics Centre of Excellence’s (DnA COE) purpose is to deliver a full data and analytics capability, to help Optus to transform into a customer-centric data-led organization. The role of  Data Scientist – Feature Engineer  is to help discover information hidden in vast amounts of data and wrangle & engineer that information into predictive & meaningful features for the Data Science, AI, and Analytics Chapters to access to help make smarter decisions & deliver even better outcomes for our customers. The key focus of the role will be on the rapid expansion & production delivery of features into the Optus Customer 360, or Unified Analytics Record (UaR). In particular, identifying new ways to quickly engineer features or explore new sources of data previously untouched for their ‘feature value’ in terms of understanding customer behavior will be paramount. The role Collaborate with squad Product Owners, Data Science, Analytics and AI Chapter Leads and others to develop and accelerate the engineering of features Understand data sources, conduct data discovery, apply basic, complex and/or data science techniques to produce features for automation using a hypothesis-driven approach Identifying the best representation of data to learn for various algorithms Participate in squad ceremonies and deliver quality outputs Delivery outcomes, e.g. production of features into the Optus Unified Analytics Record to deliver Data Science & ML powered insight Work day-to-day in a squad and be collectively responsible for the achievement of sprint goals The perks We offer all kinds of benefits, such as: Work collaboratively in an open, agile environment with flexible working hours and location Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!) Mobile and Broadband staff discounts Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff buses to Epping and Wynyard, and back again About you Preferred skills and experience include: Bachelor’s Degree in quantitative degree (Engineering, Maths, Economics, Science or Computing / IT) 2-3 years’ experience in advanced data analytics or modeling Understanding of Big Data and knowledge of scala, Spark & Hadoop Exposure to data engineering concepts Understanding the use of data science to support marketing initiatives Experience with big data tools and programming languages like R, Hive SQL, Java and/or Python Experience in data engineering and building features for machine learning algorithms Familiar with machine learning algorithms such as decision trees, logistic regression, clustering, neural networks, graphical models Experience in producing and presenting relevant documentation in support of the analytical process Intense curiosity — a desire to go beneath the surface to find a problem Used to working in a team and able to work independently Good verbal & written communicator Experience in managing self to deliver technical data analysis work Have a desire to work in an Agile environment – where we take it on, grow & value every voice Enjoy being hands-on and possess strong attention to detail Be excited to combine your emerging data science knowledge to develop meaningful & predictive features to understand Optus customers better Be flexible, adaptable to change and enjoy dynamic environments You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment.  

The Data Center of Excellence has been being established in the Digital Consumer team at Optus to help realize the vision of becoming a customer-centric organization, driven by a data and analytics capability that enhances customer interactions and revenue generation. This is a 12-month fixed-term contract and the  Senior Data Engineer  is responsible for  the development and automation of Big Data ingestion, transformation, and consumption services; adopting new technology; and ensuring modern operations in order to deliver consumer-driven Big Data solutions. The role Implement request for ingestion, creation, and preparation of data sources Develop and execute jobs to import data periodically/ (near) real-time from an external source Setup a streaming data source to ingest data into the platform Delivers data sourcing approach and data sets for analysis, with activities including data staging, ETL, data quality, and archiving Design a solution architecture to meet business, technical and user requirements Profile source data and validate fit-for-purpose Works with Delivery lead and Solution Architect to agree on pragmatic means of data provision to support use cases Understands and documents end-user usage models and requirements The perks We offer all kinds of benefits, such as: Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff buses to Epping and Wynyard, and back again About you Preferred skills and experience include: Bachelor’s degree in maths, statistics computer science, information management, finance or economics PhD in Data Science, Mathematics, Statistics, Economics, Engineering, Operations Research, Computer Science  – desirable 3 -5 years’ experience integrating data into analytical platforms Experience in ingestion technologies (e.g. sqoop, nifi, flume), processing technologies (Spark/Scala) and storage (e.g. HDFS, HBase, Hive) Experience in data profiling, source-target mappings, ETL development, SQL optimization, testing and implementation Expertise in streaming frameworks (Kafka/Spark Streaming/Storm) essential Experience managing structured and unstructured data types Experience in requirements engineering, solution architecture, design, and development/deployment Experience in creating big data or analytics IT solution Track record of implementing databases and data access middleware and high-volume batch and (near) real-time processing You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment.

The Senior Data Analyst is critical within the Data Centre of Excellence (DCoE) providing guidance, recommendations, and insights to the business.   Positioned within the Discovery Analytics team this role using a proactive approach to demonstrate the value of analytics and how it can be applied to business decisions that improve customer outcomes, achieve targets and explore growth opportunities. The Senior Data Analyst will be a strong proactive contributor to the analytics strategy, capability, and delivery of insight and analytics programs of work required by the specific business unit/s and will work day to day within a cross-functional team to leverage their combined skills to deliver the best outcome. The role Proactively engage and collaborate with key Business Unit/s stakeholders to understand the key business problems to be solved Influence stakeholders through effective storytelling and relationship management to ensure data is a key enabler of decisions Translation of business challenges into analysis plans needed to address these across the areas of business analysis, customer insights and advanced analytics. Mentoring Data Analysts, in querying customer data, performing analyses, and presenting findings in a clear and understandable language; Performing complex data, statistical and commercial analysis to understand how customer behavior, product changes, and market dynamics impact the Consumer business Consolidating information and data from across the Insights team to present a holistic view of customer behavior and market trends including Research, Data Scientists, Commercial, External Market Analysis, and Marketing effectiveness Developing recommendations with a clearly articulated, structured argument and deliver findings and recommendation back to the senior stakeholders Contributing to the overall team delivery of business insights and recommendations and trading performance Proactively innovate with the use of data and analytics to identify opportunities to grow and engage our customers Collaborate with the cross-functional team to deliver the best outcomes for business and customers Effectively and autonomously manage workload to deliver to business deadlines and priority; help others to do the same with the team The effective interpretation of business trends, customer behaviors, and market dynamics are critical to the success of the company.  About you Skills and experience include: Minimum 6 years of demonstrated exposure to a variety of Marketing, Sales and/or Commercial functions in large organization People leadership experience preferred Internal consulting experience as part of a center of excellence Experience in complex stakeholder management to achieve alignment around a common set of goals and influence business outcomes Excellent communication, presentation, and storytelling skills Demonstrated analytical skills developed from experience in similar roles Advanced SQL coding skills a must; 2 nd  language (Python/R preferred) Strong understanding of data warehouse structure and data extraction Experience of working in Hybrid or Cloud environments Proven ability to work through complex issues to reach an outcome Demonstrated ability to interpret business-relevant results from analysis and apply to impact outcomes Exposure to advanced analytics methods and application to business use Tertiary qualifications in a quantitative field (e.g. Mathematics, Computer Science, Finance, Engineering, Statistics) Telecommunications or Financial Services experience preferred You would be a self-starter with the ability to work independently and multitask several different activities across critical deadlines in a high-pressure environment. The perks We offer all kinds of benefits, such as: Work collaboratively in an open, agile environment with flexible working hours and location Discounts with over 400 companies Australia wide (Technology, Retail, Home, Fashion and more!) Mobile and Broadband staff discounts Onsite facilities at Macquarie Park such as a Gym, GP, Mini-Mart, Cafes Training, Mentoring and further learning opportunities Staff buses to Epping and Wynyard, and back again

Position Summary Mobile Data Core Engineering is accountable for the strategic planning, design, and delivery of the Mobile Data Core Network, including the evolution to the 5G core. The successful candidate will be required to act as a project prime, being responsible for all technical components around the network design of the project including the scoping, design, testing, documentation and all steps required for the successful implementation in the production network. The position requires an excellent knowledge of packet core and virtualization technologies with the ability to accurately document network designs and deploy network configurations in production. The role requires the ability to generate solution designs independently and to review the designs completed by others. Knowledge in EPC and virtualization is essential. This role represents the senior engineering position within the Mobile Data Engineering team. As such, the position requires the candidate to be a subject matter expert. They should be able to operate under limited supervision and be able to provide leadership to the more junior engineers. It is expected that this person would seek guidance and support from the management only as required.  This role requires skills needed to interface with multiple groups within Optus and to manage contractors & vendors to ensure the successful delivery of projects. Key Responsibilities Platform ownership for Mobile Data Core, entailing life cycle management, capacity management, platform architecture and evolution, and capital management associated with the platform (including tendering, benchmarking, and Business case submission). Strategic Planning, design and evolution/transition of the Mobile Data Core from a Native based network to a fully virtualized and scalable/sliceable network. Own and manage the preparation, execution, and reporting of the AOP planned activities and budget requirements. Prepare capital submissions to support planned network activities. Ensure systems/platforms are planned, designed, deployed, operated and maintained to Optus’ business requirements, technical specifications and the relevant Optus design standards. Accountable to ensure platform capacity utilization does not exceed agreed Engineering thresholds, and that required capacity is delivered within the stipulated lead times, and as per forecasts. Accountable to ensure that platform performance is consistently maintained within agreed tolerance limits and drive quick recovery in the event of any degradation of service levels. Drive the development of platform roadmaps, architecture and evolution plans (0-3 year) by working with the architecture teams and actively provide inputs to 3+ year plans. Develop well-prepared, accurate engineering network design documentation. Act as a Subject Matter Expert for the relevant technology area. Perform assessment of existing network elements and implement design updates as required to ensure all network components meet the network design specifications. Keep abreast of technology and develop appraisal reviews where applicable. Specify, define, and document design processes, standards and practices related to the packet core data network to ensure engineering best practices are maintained. Interface to co-ordinate and resolve network design and/or process-related issues. Experience and Qualifications A technical qualification (degree) in Telecommunications Engineering (or related Engineering discipline) or equivalent. A minimum of 7 years’ experience in telecommunications. At least 3 years’ experience in a platform design/operation role. Packet core and probe platform experience. Product development and/or customer design experience. Experience in liaising with middle and senior management. Experience with network test tools/procedures. Good documentation skills. Experience in the telecommunications provider environment. Sound knowledge of virtualization technologies. Mobile Experience (3G, LTE) EPC including VoLTE and VoWiFi Protocols (GTP, Diameter, SS7) Optus believes in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers.