Business Intelligence Analyst
hace 2 semanas
Where To, a pioneering business travel startup based in San Francisco and part of the Flight Centre family, is transforming the way companies approach corporate travel. Our agile development and design studio builds cutting-edge travel solutions used by some of the world's largest corporations, all with the aim of making business travel better for everyone.
About The OpportunityWe're seeking an exceptional Data Scientist to join our team at Where To. As a key member of our data strategy team, you'll apply advanced analytical techniques and machine learning models to uncover trends and opportunities that inform strategic priorities across the company.
In this role, you'll play a pivotal part in designing and owning our overall data strategy, ensuring data is used to its full potential to drive key decisions and long-term growth. If you're passionate about transforming raw data into actionable insights and thrive in a collaborative environment, we invite you to be part of our journey in shaping the future of travel technology.
Key Responsibilities- Develop and implement statistical models, machine learning algorithms, and other advanced analytics to identify trends, predict outcomes, and uncover business opportunities.
- Play a key role in designing, owning, and implementing our data strategy as part of the data team, ensuring that data is effectively leveraged across the company to inform prioritization and strategic initiatives.
- Analyze large datasets from various sources, uncover patterns, and deliver actionable insights that inform product decisions and business strategies.
- Partner with Product, Engineering, and Data Analysts to translate complex data findings into strategic recommendations that help prioritize product development and operational improvements.
- Proactively develop insights and models to forecast trends, improve operational efficiency, and influence strategic direction.
- Communicate findings through clear visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.
To succeed in this role, you'll need:
- 3+ years of experience in data science, with a focus on applying machine learning, predictive modeling, and statistical analysis to real-world problems.
- Proven experience designing and conducting A/B testing and experiments to optimize product features and validate business decisions.
- Strong proficiency in programming languages such as Python (required) and Node.Js (preferred) for data manipulation, analysis, and model development.
- Experience with machine learning techniques, statistical analysis, data mining, and data visualization.
- Proficiency in working with neural networks and deep learning frameworks.
We offer a competitive salary range of $125,000 - $160,000 per year, depending on experience, as well as a comprehensive benefits package and opportunities for professional growth and development.
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