Product Data Analyst, Ring AI Data Engineering & Analytics Full-time

As a Product Data Analyst you will drive actionable insights for AI Services Product Management team, and influence decision-making across the org. This is a highly visible role in which you will communicate actionable insights to decision-makers. You will ‘tell the story’ around data about features usage insights, user journey analysis, support hypothesis testing from methodology to results evaluation. You will utilise advanced analytics techniques to derive insights about product usage patterns. You will also create self-service dashboards, and work closely with data engineers on data pipelines automation.

Key job responsibilities

– Use data to create insights which include detailed product users behaviour analysis, outlining segments and different patterns, which may lead to business opportunities. You are passionate about turning data into actionable insights that will inform product development and strategy.

– Write compelling narratives to share data stories to stakeholders and equip them to make informed decisions and future plans.

– Take a proactive approach to defining new metrics, reports, and dashboards. You seek to develop a deep understanding of our metrics, reporting tools, and data structures in order to provide actionable intelligence with existing metrics.

– Utilise advanced analytics techniques for conducting deep dive studies around certain device use cases.

– Provide data for monthly business reviews, which includes results of experiments and A/B tests, features health indicators, activation and engagement metrics.

– Develop self-service dashboards using Tableau.

– Browse available data sources in order to understand and enhance analytics signals logging.

– Work closely with the data engineering team to design, execute and maintain reporting modules, define requirements for automation of recurring reports.

A day in the life

The successful candidate will be on the lookout for ways to learn more about Ring devices usage behavioural patterns, optimise the ways how metrics used for decision making, superior communications skills and the ability to deliver analysis in a clear and actionable format for Product Managers, have technical skills to come up with insights.

About the team

Our Product Data Analytics team mission is to equip AI Services Product Management team to make data-driven decisions around features with AI component development (e.g. Package detection), starting with insights for feature proposal and to feature post-launch evaluation. We do this by quantifying user experience on each feature usage stage (activation, engagement, retention, reactivation), identifying usage patterns and new opportunities to improve customer experience with Ring devices.

BASIC QUALIFICATIONS

– 3+ years of experience in analyzing and interpreting data, performing statistical analysis

– Experience with data visualization using Tableau, Quicksight, or similar tools

– Experience with writing advanced SQL queries

– Experience in statistical and root cause analysis techniques

– Experience in product data analytics or user experience analytics

PREFERRED QUALIFICATIONS

– Experience with advanced analytics techniques.

– Experience with data modelling, warehousing and designing ETL pipelines.

– Experience in data mining in a business environment with large-scale, complex datasets.

– Experience with AWS, including Redshift, S3, RDS, Athena.

– Proficient in handling big data volumes, composition of advanced SQL and query performance tuning skills.

– Experience in collaborative workflow using version control systems.

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