Senior Analyst

  • 33681
  • Non-Life - Other
  • |
  • Australia
  • |
  • May 17, 2018
Consulting
RESPONSIBILITIES
  • Accountable for the delivery of advanced analytics solutions into one of the company’s products.
  • Task management including overseeing and delegating technical tasks amongst analysts.
  • Support the Analytics Lead with analytics architecture and solution design.
  • Contribute to the Analytics Toolkit, a central repository of useful tools for analysts.
  • Delivery of tasks to support a product roadmap and BAU product operation tasks, working in a cross-functional team managed by a Product Lead or Delivery Manager.
  • Creation of analytics approaches to solve business problems in a scalable and repeatable way.
  • Design, development or testing of an analytics algorithm, including prototyping.
  • Writing the specifications for an analytics algorithm to be implemented by software engineers.
  • Peer reviewing the work of other analysts.
  • Carrying out a process required for BAU delivery of any aspect of the product that needs regular production.
  • Investigating objections or issues raised by users.
  • Following and instilling in junior peers the best practice guidelines, tools and formal processes for analytics practiced at the company.
  • Liaising with customers of the product, both internal and external, to respond to queries and objections, and communicate updates relating to delivery of new features and BAU.
  • Providing estimates of work effort, timeframes and costings for analytics tasks. Peer reviewing estimates developed by team members.
  • Taking active steps to continuously improve own performance and drive own career development, requesting assistance as required.
  • Taking active steps to drive improvement in the knowledge, capability level and quality of work of Associate Analysts and Analysts in own team.
  • Participation in Analytics Community initiatives, such as Analytics Review for other projects, organization or facilitation at events, etc.
QUALIFICATIONS
  • Sound knowledge of technical analytics discipline, including data preparation, experiment design, feature engineering and foundational analytics concepts, model development and model training.
  • Sufficient skills in several disciplines or techniques to autonomously apply without the need for material guidance or revision by others.
  • Sufficient skills in at least one discipline or technique to be an authoritative source of guidance and support for the team, and to be able to solve problems of a high technical complexity in this domain.
  • Sound knowledge of one or more technical tools and coding languages that are used for analytics.
  • Some tools and programming languages that might qualify include: R, Python, Scala, Haskell, SAS, MATLAB, S-Plus, C/C++, Perl
  • Strong problem-solving skills, including ability to apply a systematic problem-solving approach.
  • Solid interpersonal skills, as the role will need to work in a cross-functional team with both other analysts and specialists from non-analytics disciplines.
  • Solid client and stakeholder management skills.
  • Ability to autonomously carry out work following analytics best practice as defined at the company for the relevant types of tools or techniques, suggesting improvements where appropriate.
  • Ability to motivate peers to follow analytics best practice as defined at the company, by positively presenting the benefits and importance of these ways of working.
  • Commercial acumen to understand business needs and the commercial impacts of different analytics solutions or approaches.
  • Attention to detail.
  • Drive for continuous improvement.
  • 5-7 years’ experience in a highly technical analytics environment, carrying out data analytics or data science work
  • Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline.