Product Decision Analyst
3 weeks ago
We are seeking a skilled Product Analyst to drive informed decision-making across our product and business teams with accurate and actionable data insights.
As a Product Analyst, you will be responsible for managing a specific domain within our product and business areas, working closely with product and business managers as part of a dynamic team of Product Managers, UX Designers, Developers, and Data Scientists.
Your primary focus will be on handling every aspect of the data value chain – from logging and modeling to analysis, reporting, and experimentation – to provide reliable and timely insights that inform product and business strategy.
Key Responsibilities- Transform complex business challenges into opportunities by applying objective, data-driven criteria.
- Gain a thorough understanding of product experiences and business processes within your focus area.
- Develop a comprehensive understanding of product data metrics, including impressions, events, and product health measurements.
- Partner closely with product and business teams to pinpoint critical questions that can be addressed using data insights.
- Provide actionable, relevant, and reliable insights through detailed analysis and automated reporting to drive informed decision-making.
- Design and analyze experiments, including A/B and multivariate tests, to optimize strategies.
- Support product and business managers with KPI development and goal-setting to align with overall objectives.
- Experience: 3+ years in quantitative analysis, solving problems using data, and providing business insights.
- Technical Skills: Expert in SQL and BigQuery, with strong proficiency in Firebase Analytics, Google Data Studio, and Python or R for reproducible data analysis.
- Project Management: Proven ability to initiate and drive projects to completion across multiple teams with minimal guidance.
- Communication: Strong interpersonal skills with the ability to communicate technical content and analytical insights clearly to diverse audiences.
- Statistical Knowledge: Solid understanding of statistics, including experimental design, hypothesis testing, and various analysis types (descriptive, exploratory, and predictive).
We foster an inclusive and diverse environment that values innovation and offers flexibility, whether you prefer remote, in-office, or hybrid work arrangements.
Our compensation packages are competitive, featuring potential share options.
We are committed to your personal growth, providing regular training and an annual learning stipend to help you advance your career in a fast-paced, dynamic environment.
You'll benefit from autonomy, mentorship, and ambitious goals that pave the way for both your success and the company's growth.
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