Job Title: Data Analytics Specialist
We are seeking a highly skilled Data Analytics Specialist to lead the development and implementation of advanced data analysis and tools to optimise organisational initiatives. The successful candidate will drive a vision and strategy for innovative data solutions, support data-driven decision making and cultivate actionable insights through collaboration with business partners.
Key Responsibilities:
* Model and analyse internal and external data sources, performing rigorous data checks to ensure accuracy and reliability, utilising the data to develop comprehensive solutions.
* Conduct exploratory data analysis, machine learning, regression analysis, clustering using various techniques including SQL Python R programming languages Excel proficiency demonstrated expertise in building implementing monitoring statistical models machine learning models present predictive analytics results communicate complex information effectively cross-functional teams stakeholders clearly concise manner integrate real-time insights into business processes remain agile responsive trends effective communication documentation presentations foster curiosity about business priorities challenges needs uncovered performance improvement opportunities structured problem-solving methods produce actionable insights conduct analysis various technologies techniques communicate technical information effectively local regional global teams contribute delivery new solutions enhancements AI based tools impact ANZ region regional global teams report adverse events AbbVie policies procedures timely manner proactively participate WHS programs adhere policies promote safe work environment all times admit mistakes grow stronger putting courage conviction test also perform ad hoc duties administrative tasks requested managers line functional leads supervision coordination activities meet objectives goals targets committed deployment efforts resources provide expert knowledge assist guide project decisions leverage best practice methodologies continuously improve operational efficiency monitor track team progress ensure high-quality outcomes enhance overall success enterprise collaborating build maintain harmonious relationships colleagues leaders shared understanding clear consistent direction action synergy drive success vision established competitive advantage reducing duplication waste streamlining efforts succeed achieve set organisational goals critical mission maximising performance individual members collaborate cohesive collaborative teamwork strive continuous personal growth contributes fully delivering sustainable value organisation demonstrating focus responsibility achievement international matrixed environment occasional participation business meetings outside standard hours excellent written verbal communication skills diplomacy tact adaptability flexibility added value ability handle multiple projects competing priorities stress pressure exhibiting resilience responding positively change uncertainty challenged responsibilities continued evolution requiring constant adjustment anticipating changing requirements challenging adapting resolving difficulties remaining open-minded managing ambiguity delegated authority overseeing representing assets employers accurately documenting records important activities competed status regularly reporting knowledgeable communicated as needed investigating practices resolved providing feasible advice employees included.