Data Analyst

Join a team data scientists, cloud engineers, systems and software engineers with this super cool organisation in predictive analytics for sports.

Required skills

• Python, SQL, Big Query,
• Math's, stats, understanding of predictive modelling & modern metrics
• Data manipulation & data visualization
• Must have full working rights and be based in Sydney

Benefits:

• Work with brilliant minds in predictive analytics, talented yet humble team
• 3 days in Sydney CBD office - Tue, Wed, Thur
• Subsided health care for your family
• Up to 15% bonus
• Overseas trip every 2 years
• Birthday leave, tap into extra annual leave, parental leave, volunteer days
• Team lunches, EOFY year celebrations, Christmas parties, social activities

This organisation researches and builds predictive analytics for sports, using advanced techniques and technologies.

Act as a junior specialist within the Research & Development team focusing on supporting novel sporting analysis while providing general quantitative support to Data Scientists in their specialist area. Use your knowledge and expertise to maintain and improve a robust production system as well as provide input on areas for improvement around predictive modelling.

• Take an important role in the development and maintenance of production system
• Analysis of existing algorithms, inputs and expected outputs, establishing expected behaviour for automated testing
• Perform quantitative analysis on sports data, publishing research and predictive model outputs
• Presentation of results & findings to peers
• Documentation & technical writing

Skills & Experience:

The candidate must possess a high level understanding of statistics and the application of statistical techniques and tools, specifically in the field of predictive model development.

• 2+ years’ commercial experience
• University studies in a quantitative field such as mathematics / statistics (or engineering) BSc (Hons), MSc+
• Exposure to programming/scripting languages e.g. Python, bash/shell
• Experience using quantitative software packages and analytical software, e.g. R, Python
• Proficient in SQL / understanding of relational database concepts is an advantage
• Experience managing data processing pipelines, troubleshooting/issue tracking
• Experience maintaining/developing a production system is a plus
• Experience with data visualization platforms e.g. Looker Studio, Tableau
• Ability to analyze and present summary level data effectively
• Fluency in English and excellent writing skills

Apply now! Nicolle Hann-Dunbavin