Decision Scientist

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal’s mission is to power every human decision in the enterprise and uses the power of AI to help the world’s most admired Fortune 500 companies. Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2019 by Forrester Research, and recognized as an “Honorable Vendor” in 2019 magic quadrant for data & analytics by Gartner. In Australia, Fractal is working with ASX 100 companies to bring data-driven decision making to the enterprise.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Position Overview:

We are looking for a proactive and driven Senior Consultant to join our Technology practices team in the Sydney. In this role, you will be driving data-led strategic decision-making for Fortune 100 Technology clients with particular focus on product sales. You should be analytical and an excellent communicator. If you also have a business acumen and problem-solving aptitude, we’d like to meet you. Ultimately, you will enhance our business intelligence system to help us make better decisions.

Responsibilities:

• Apply quantitative and qualitative analysis, data mining and exploration, experimentation and visualization techniques to tell the business stories behind tech product sales and drive actionable insights for business leaders.
• Collaborate cross-functionally with multiple teams and senior stakeholders in client’s sales organisation to drive high-impact use-cases, define sales roadmaps and to support data needs.
• Define, understand, and test opportunities and levers to improve the sales funnel, and drive roadmaps through your insights and recommendations.
• Acquire a deep understanding of existing business using data to build insights driving business decisions/initiatives critical to scale – gather requirements, build proof-of-concepts/ productionalized solutions, lead peer-reviews and stakeholder presentations.
• Drive continuous improvement of reporting/analytics through process or tooling enhancements or automation.

Must-have skills:

• Domain knowledge: In-depth understanding of the technology industry and software / hardware product sales journeys.
• Language skills: Native language skills (read, write, speak) in Japanese and English with ability to understand and convey complex concepts with high degree of fluency.
• Technical expertise: Strong hands-on experience in analysing large volume of data using SQL and Python, combined with understanding of Relational databases and Statistics, such as Hypothesis testing, A/B testing, Forecasting, Causal Inferencing, etc.