Develop and automate solutions and data pipelines to address a range of analytical challenges.
Translate complex data into clear, actionable insights that shape business outcomes using the latest technology.
Use SQL to source, prepare, and analyze data, and refactor legacy SQL into efficient, well-documented code.
Apply a range of analytical techniques, from descriptive analytics to advanced methods, to build sustainable solutions.
Identify key metrics and indicators to enhance program understanding and give to our measurement capabilities.
Engage and influence global customers to understand business challenges and co-design effective solutions.
Collaborate with analysts and engineers to continuously improve our data platform and internal processes.
Work closely with a diverse mix of technical and business customers to accelerate your growth and career progression.

What Were Looking For

Bachelor s or Master s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Physical Sciences with 7 plus years of experience in data analytics with a proven track record of delivering business impact.
Advanced SQL skills, with the ability to write high-quality, scalable, and easy-to-understand code.
Strong knowledge of statistics and its practical application to real-world scenarios.
Experience developing automated solutions and data pipelines is a significant advantage.
Hands-on experience with Snowflake or other modern cloud data warehouses.
Excellent verbal, written communication, and data presentation skills.
Ability to thrive in a fast-paced, ambiguous environment with a sharp focus on results and attention to detail.

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