Liam Jansen Email & Phone Number

Melbourne, Victoria, Australia

Melbourne, Victoria, Australia

Reporting lines to the Senior Executives, this is both a strategic leadership and highly visible role that manages a team that drive continuous improvement efforts to increase efficiency and effectiveness of service, quality of outputs and overall stakeholder satisfaction within the areas of advanced analytics, clinical outcomes and insights.

Melbourne, Australia

Managing a team of over 10 analytical professionals with a focus on developing relationships between analytics, hospital contracting and the fraud & risk team, while improving on the delivery of service, quality of outputs and overall stakeholder satisfaction within the areas of advanced analytics, clinical outcomes and insights.

Building a team with the aim to deliver, as well as educate, in the space of health outcomes and demonstrate the advantages within analytics that could be used to improve strategic initiatives.

720 Bourke St, Melbourne

Using predictive techniques, including logistic regression, the aim of this role is to predict upcoming cases of benefit utilisation with the goal of minimizing unnecessary future costs within the healthcare industry. Using statistical tools such as R and SAS and working with business partners creating strategic solutions and working through large sets of data, I am able to deliver the best outcomes for the business.

Melbourne, Australia

Using data, Analytic techniques and identification, I transform the latest raw data into meaningful information for the purpose of Fraud identification and mitigation. Also part of my current position is to estimate potential fraud risks within upcoming and potential initiatives. Being part of the analytic community for over 5 years and having expertise with multiple extraction and manipulation software (specializing in SAS), I deliver the best outcome for the business in a timely, but more… Show more Using data, Analytic techniques and identification, I transform the latest raw data into meaningful information for the purpose of Fraud identification and mitigation. Also part of my current position is to estimate potential fraud risks within upcoming and potential initiatives. Being part of the analytic community for over 5 years and having expertise with multiple extraction and manipulation software (specializing in SAS), I deliver the best outcome for the business in a timely, but more importantly accurate manner. Show less

Burnley

• Advanced SQL techniques, advanced SAS programming, data mining, text mining and big data experience. Day-to-day experience with large oracle data warehouses (> 100 million records, > 2 million customers)• Data collection, analytics, analysis, testing, reporting, campaign execution, promoting analytical methods, statistical modeling, data mining and influencing strategic direction for both project work and daily operational activities• Management of database marketing… Show more • Advanced SQL techniques, advanced SAS programming, data mining, text mining and big data experience. Day-to-day experience with large oracle data warehouses (> 100 million records, > 2 million customers)• Data collection, analytics, analysis, testing, reporting, campaign execution, promoting analytical methods, statistical modeling, data mining and influencing strategic direction for both project work and daily operational activities• Management of database marketing, identifying portfolio opportunities, improving telephony call understanding and playing a role in the development and implementation of best practice operations through effective manipulation and interrogation of data• Management of a 5 member sub team responsible for the upkeep and improvement of an automated reporting and process system • Provision of technical advice and explanations of statistical methods and results• Keeping up to date with general issues within the financial sector and taking into accounts its impact on data management and statistical services provided • Provision of input into data warehouse and analysis matters, managing and resolving data integrity issues • Building and maintaining automated lifecycle strategies, specifically identifying key milestones and drivers of customer behavior• Maintenance and delegation of work requests within a self-maintained team environment Show less