Optus

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We're investing in our people, our communities, our networks, and a sustainable future. Our focus is on creating a better more connected future for Australia. 
 

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Connecting Australians

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Full time
Optus Melbourne VIC, Australia
Sitting within the Optus Sales Organisation, the Contact Centre (CX) Digital Architect will be indispensable in identifying the initial opportunity, developing an understanding of the client needs, formulating a winning design and creating a strong desire for an Optus solution by being aware of Optus’ strengths and competitors’ weaknesses in a dynamic market.  The role also collaborates with other Domain Architects (including Enterprise Architects and Consulting Architects) to develop solutions composed of multiple technologies to address clients and prospects business needs in a converged ICT services market. The position plays a key role in the sales engagement process, driving both customer experience and financial outcomes through providing specialist technical and pre-sales solutions.  The role also provides a key link between the sales and professional services delivery teams. We are looking for a high performing individual who has substantial relevant technical experience as well as some Pre-Sales experience. Significant experience in consultative and creative solution selling; experience in developing solutions that meet a customer’s requirement will be essential to the success of the role.   Additionally, you will also have the following: Must haves: Ability to take personal ownership and control, driving to achieve success. Demonstration of market / industry experience and knowledge assistance in sales (measurable by participation in successful sales). Proactive attitude in developing the Optus Contact Centre business, seeking opportunities through the development of relationships within Optus Account Teams, Optus Clients, Partner Vendors and other market relationships. Strong focus on creating relevant, accurate, repeatable and profitable opportunities and actively look for ways to improve the accuracy and profitability of Optus Business.  Team player providing Contact Centre thought leadership and mentoring to colleagues within the wider Optus team. You enjoy implementing continuous improvement, from and within our existing capability and to establish new relevant capabilities. Progression and maintenance of vendor relationships (measurable by sales leads and vendor participation/cooperation in sales activities).   Mandatory Pre-Sales Design & Architecture competencies (at least two of the areas below): Genesys Contact Centres (PureCloud, PureConnect, PureEngage) Cisco Unified Contact Centres (UCCX/PCCE/UCCE/HCS-CC/CVP) Cisco Workforce Optimisation (WFO) Verint WFO including analytics NICE WFO including analytics Nuance speech and AI solutions Web chat, social media engagement and automation   Highly Desirable Pre-Sales Design & Architecture experience: Avaya Unified Communications and Contact Centres Cisco Unified Communications (CUCM, CUX, IM&P, Jabber etc) Cisco Unified Communications Ancillary Applications (Jabber, Attendant Console, etc) Cisco Cloud Services (WebEx Teams / Meetings / Calling) Cisco Voice Gateways (CUBE, SRST, DSP, etc.) Cisco Telepresence Video and/or Polycom Video Real time streaming and Video on Demand digital media Standards based Video Conferencing Microsoft Lync / S4B Audio Visual Routing/Switching Network design (HA, QoS, etc) 3rd party solutions such as Voice Recording & Call Accounting 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. Heads Up! Due to the fast paced nature of our business, vacancy close dates may change, so make sure you apply today!
Oct 01, 2019
Full time
Optus Macquarie Park NSW, Australia
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 Revenue. The DCoE has been established as a core function of the Marketing and Revenue 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 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 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 busses 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.   Heads Up! Due to the fast-paced nature of our business, vacancy close dates may change, so make sure you apply today!
Oct 01, 2019
Full time
Optus Macquarie Park NSW, Australia
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 drive and build the business in the coming years as the Sales & Channels Manager. Reporting to the Country Head – DSpark, you will join a growing team of highly motivated and capable individuals who aspire to create deep insights and to productise 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 commercialise at full scale such a unique dataset.   Key responsibilities Managing client’s communication and leading engagements and representing the technical aspect during pre sales, then taking over client engagement during project delivery and support  Understand and qualify the client problem statement, describe and effectively articulate how DSpark software can provide the solution, end to end project management and delivery of the project including managing of the internal stakeholders Ongoing product operational support to the various business units (into product, engineering and sales) both internal and external to as well as both in Australia and across our Asia Pacific markets Manage product and data queries as they relate to the DaaS offering and the consulting ana analytics engagements Strongly collaborate with colleagues in the Data Science team , service and data engineering and product teams to develop relevant data science and analytics solutions cost-effectively and innovatively making use of proprietary data and algorithms of DSpark together with your own background Contribute to the innovation and research and development competencies of DSpark, such as the mobility or content competencies, contributing with specific skills in relation to industry domain knowledge, innovative technological or data science approaches. Analyse data using Spark, Scala, SQL, Excel, Tableau, R, Python or other programming languages and business intelligence tools Display analysis results using reports or visualizations Support advanced analytics projects with data preparation, exploration and other data and I.T. support Work with technologists to choose, design and maintain data models, algorithms, etc. Responsible for driving the adoption of the software within and beyond the client base, by applying the specific industry domain expertise to develop and deploy use cases that create significant business impact   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 Bachelors or Master’s degree in Computer Science, Analytics or a related discipline +5 years of experience in the supporting the pre-sales and delivery efforts of data science or analytics projects Proven industry domain expertise in either transport, out of home, tourism, commercial real estate, councils or cities or telco/media Translate complex data science and analytics concepts and methodology into business terms to the customer Be experienced and very comfortable to prepare and present solutions in ppt, doc or xls to the end customer at all levels, from operational to C-level Assess and document requirements as well as prepare documentation for Proposals, RFIs, RFPs, tenders, etc. with specific attention to the content and the project management part  Be comfortable with analytics software such as R, Python, SAS or similar and knowledgeable of the software deployment and maintenance cycle Be comfortable analysing true unstructured big datasets with software such as Spark or Scala   About us At DSpark, 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. We are a fast growing Singtel business operating in 5 Asia Pacific market, our Australia DSpark team is growing fast, and we need great people to help us grow.   Heads Up! Due to the fast-paced nature of our business, vacancy close dates may change, so make sure you apply today!
Oct 01, 2019
Full time
Optus Macquarie Park NSW, Australia
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 productise 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 commercialise at full scale such a unique dataset.   Key responsibilities Evangelise DSpark’s products to customers, and help them to succeed in using our products on a continuous basis Analyse 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, visualisation and reporting, to demonstrate 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 visualising 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   About us At DSpark, 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. We are a fast growing Singtel business operating in 5 Asia Pacific market, our Australia DSpark team is growing fast, and we need great people to help us grow.   Heads Up! Due to the fast-paced nature of our business, vacancy close dates may change, so make sure you apply today!
Oct 01, 2019
Full time
Optus Macquarie Park NSW, Australia
Position Summary The Chapter Lead / Domain Architect for Marketing Campaigns & Communications Platforms is accountable for defining the architecture, roadmap and leading the technical delivery for all Campaign Management and related Digital Marketing capabilities in Optus. The role demands deep expertise and experience in Consumer engagement, analytics and Digital Marketing technologies for Telco industries to effectively partner senior business stakeholders, contributing, influencing and presenting the overall strategy and roadmaps in this domain. The position is also required to play the role of Chapter Lead for the Campaign Mgt. platforms, leading and coordinating several resources from IT and technology partners, in complex matrix organizations, including Agile Squads and conventional programs/projects. Being the subject matter expert in this area, the Chapter Lead / Domain Architect for Marketing Campaigns & Comms Platforms is required to present to senior internal stakeholders and in external industry related events.   Key Responsibilities Engage business stakeholders to align the technology roadmap with the business strategies. Define and manage the roadmap for Marketing Campaigns & Communications Platforms, including real-time decisioning, customer comms/surveys and customer data platforms/services to drive enhanced customer insights and personalisation. Maintain and update the reference architecture for Marketing Campaigns & Communications Platforms, along with standards, guidelines and best practices. Provide thought leadership to ensure our marketing efforts offer a strategic advantage through data-driven insights and innovative ways to connect with our customers and prospects. Work with business and IT to provide end to end digital marketing solutions, including reporting and continuous improvement of the customer journey through the optimisation of marketing platforms. Coordinate Impact Assessments, including high level solution design, cost and timeline estimates for initiatives of all sizes. May include RFIs/RFPs, POCs and Prototypes with vendors, as part of new technology selection processes. Lead and coordinate the architecture and design work from multiple IT and technology partners across technical domains, being accountable for the solutions architecture & design quality. As Chapter Lead for Campaign Mgt. platforms: Manage the recruitment, development, allocation and cross charging of Chapter resources into Agile Tribes and squads.   Experience and Qualifications 10+ years of defining solutions & designs and implementations in Customer Marketing /Campaign Management – Inbound and Outbound 5+ years hands on experience building rules, data objects, integrations, and activities in Pega or equivalent CRM systems 2+ years experience in relational & dimensional data modeling, process modeling and performance tuning of large scale data warehouses. Experience partnering senior business stakeholders on strategy and requirements Experience leading and coordinating resources from multiple teams across different projects. Strong technical knowledge of data integration, metadata and Big data analytics tools. Experience in defining customer analytics record and feature engineering. Good understanding of Telco DW / Big Data solutions. Campaign Management preferably using Pega/SAS SQL  Relational Database Management System (RDBMS) Netezza / Teradata / Oracle Exadata Data warehouse platforms or equivalent. Cognos / Tableau or equivalent reporting/visualisation tools. Hadoop / Big Data knowledge and experience Optus believes in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives & life experiences of all our people help us innovate & create strong connections with all of our customers. Heads Up!! Due to the fast paced nature of our business, vacancy close dates may change, so make sure you apply ASAP!!
Oct 01, 2019
Full time
Optus Macquarie Park NSW, Australia
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 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 manage demand/supply for Big Data and Cloud engineering resources in 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 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 inter dependencies 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 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 organisations 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 optimisation, 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 realisation 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 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.   Heads Up! Due to the fast-paced nature of our business, vacancy close dates may change, so make sure you apply today! 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.
Oct 01, 2019
Full time
Optus Macquarie Park NSW, Australia
The role of  Business Data Modeler  is to drive consistent and robust business definitions and rules of different types of data (reference, master and transactional) across Optus data platforms and support the business data architect in maintaining the Enterprise data model and mapping multiple data sets across the lifecycle of data management processes across platforms. The role Detailing data architecture guidelines, policies and modeling standards Defines sourcing and system integration requirements for downstream consumers Works with Analytics Data Steward(s) and Business Data Owners to identify data elements needed to address downstream data requests Detail enterprise data model, identify domains, and prioritize critical data elements Contribute to development of Enterprise Data Catalog and business glossary Ensures data element lineage and other business and technical metadata is documented in the repository Drive compliance of projects to established data architecture standards and metrics Collaborate with Analytics Data Steward to enforce data policies, rules, and standards across squads Advise on potential resolutions for data issues and support prioritization of large improvement opportunities   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+ years of experience in lead data modeler related positions within the Telco data domain (across OSS and BSS systems) Able to understand business requirements and clearly define supporting data requirements (preferably in Telco data domains) Conceptual, logical and physical data modelling and mapping across Telco subject areas (e.g. Billing, CRM, Usage, Customer, Interactions, Events etc) Experience across Data management lifecycle (ingestion, profiling, transformation, integration, summarization, publication and archiving of data sets to support multiple use cases) Experience with data modelling, profiling, metadata and Enterprise Data Catalog tools Knowledge of Data systems and platforms (e.g. Master Data Management, document management, data warehouses, BI tooling, visualisation, business data lakes, integration etc) Agile Ways of Working skills (preferably in the capacity of an Agile squad/scrum member) Effective communicator – able to present content and gain buy-in from stakeholders Able to balance business needs with IT capabilities 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.   Heads Up! Due to the fast-paced nature of our business, vacancy close dates may change, so make sure you apply today! 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.
Oct 01, 2019
Full time
Optus Singapore
The role of Business Data Architect  is responsible for overseeing and executing the development and maintenance of the enterprise data model and also has an advising role for the modernisation and implementation of master data management, reference data management, Big Data and meta data management for Optus’ systems and applications. The role will be part of the Business Data Architecture chapter leading Data Modelers and designers who will work across multiple analytics and reporting squads and also in the DCOE to drive conformance to the enterprise data model standards. The role needs to work closely with the IT leadership and domain architects, solution architects and play an advising role in the implementation of Data tooling such as Master Data Management, Reference Data Management, Meta Data Management, Analytics and Big Data.   The role Detailing data architecture guidelines, policies and modeling standards Designing data target architecture, including guidelines for tooling Develop data architecture roadmap to meet multiple business use case requirements Conduct impact assessment on target vs existing architecture Detail enterprise data model, identify domains, and prioritize critical data elements Contribute to development of Enterprise Data Catalog and business glossary Drive compliance of projects to established data architecture standards and metrics Communicate and enforce architectural policies, rules, and standards Advise on potential resolutions for data issues and support prioritization of large improvement opportunities Manage talent acquisition and development of chapter members   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 in engineering, Computer Science, Mathematics, Statistics, Economics etc. 10-15 years of experience in lead data solution architect related positions within the Telco data domain (across OSS and BSS systems) and leveraging modern Big data technologies Able to understand business requirements and clearly define supporting data requirements (preferably in Telco data domains) Experience across Data management lifecycle (ingestion, profiling, transformation, integration, summarization, publication and archiving of data sets to support multiple use cases) Experience in defining and executing business data architecture across large scale data systems platforms (e.g. Big Data Lakes, Enterprise Data Warehouses and MDM systems) Knowledge of Data systems and platforms ( e.g. Master Data Management, document management, data warehouses, BI tooling, visualisation, business data lakes, integration etc) Agile Ways of Working skills (preferably in the capacity of a Product Owner/Chapter Lead across Agile Tribes) Effective communicator – able to present content and gain buy-in from stakeholders Able to balance business needs with IT capabilities 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.   Heads Up! Due to the fast-paced nature of our business, vacancy close dates may change, so make sure you apply today! 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.
Oct 01, 2019
Full time
Optus Macquarie Park NSW, Australia
At Optus Sport, we collect hundreds of millions of data points per hour during matches across dozens of tech layers and systems. Your main task as the Data Visualization Engineer is distil the raw data into actionable insights. Either by conducting ad-hoc analysis on the data or building interactive dashboards.   The role Design and implement robust and stable visualization stack within AWS tech stack (Athena & QuickSight) Translate data questions from key business stakeholders into clear and concise build requirements for data engineering team Continual analysis of server and client-side log and behavioural data to improve video delivery experience Work with Data Engineering to improve quality and depth of insights and reduce time to delivery Data flow diagrams that ETL dependencies underlying dashboards/business views Automated dashboards to visualize billions of rows of server-side logs.   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 Preferred skills and experience include: At least 2 years Experience with advanced Data Visualization/Dashboarding platforms: any of Plotly, R Shiny, Kibana, Grafana, Data Dog, AWS Quicksight Programming Languages: R & Python Experience in SQL/NoSQL/Hadoop (Hive) databases Experience with Cloud Data Warehouse Architecture preferred: Athena, Glue, Lambda, EMR, Kinesis Data Analytics: general statistical analysis skills OS: Mac, Linux (Ubuntu)   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.
Oct 01, 2019
Contractor
Optus Sydney NSW, Australia
Position Summary This position enables EIM of group IT to achieve the following objectives: Run the business rules for data analysis on production data, often in the form of SQL queries to monitor the data.  If-then-else analysis is performed based upon continuous incremental business guidance. Work in collaboration with other people like project teams and business teams who can provide answers to questions about the data Obtain insights into the data collected by the organisation and help team members and business to make informed decisions and reach meaningful conclusions   Key Responsibilities Collecting and interpreting data Analysing results Can work on own initiative to develop a deep understating of data trends, identify outliers, exceptions and data inconsistencies Reporting the results back to the relevant members of the business Identifying patterns and trends in data sets Working alongside teams within the business or the management team to establish business needs Locate and define new process improvement opportunities Can work on own initiative to provide corrective measures when data issues are found which could potentially impact the end Optus customer and impact Optus due to compliance and regulatory breaches resulting in millions of dollars in fines and penalties   Experience and Qualifications 8+ years with proven working experience as a data analyst or business data analyst 5+ years of  technical expertise  regarding data models, database design development, data mining and segmentation techniques 5+ years with strong  analytical skills  having the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Adept at queries, report writing and presenting findings Optus believes in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives & life experiences of all our people help us innovate & create strong connections with all of our customers. Heads Up!! Due to the fast paced nature of our business, vacancy close dates may change, so make sure you apply ASAP!!
Oct 01, 2019