Product Analytics Lead
December 9
Description
• The Product Analytics team will build the data foundation for reporting, analysis, experimentation, and machine learning at Ground News. • You will partner with product, platform engineers, and business leads to architect new data models, audit logging schemas, build metrics, and work with orchestration frameworks like AWS Glue, AWS Step Functions, AWS Lambda, or Dagster. • Conduct exploratory analysis to address high-impact, open-ended questions that are key to Ground News’ product strategy. • Analyze and model the impact of product decisions that are easy to share and interpret, rather than relying on advanced analytics tools like Machine Learning. • Develop and improve standardized metrics to understand user behavior and key business metrics. • Build new data pipelines to power these metrics by navigating complex schemas and large data sets. • Create intuitive visualizations and dashboards with an eye towards useful insights. • Lead design, launch, and analysis of various tests across our ecosystem. • Monitor topline trends to inform and shape the team roadmap. • Create and contribute to a documentation-first data culture.
Requirements
• Bachelor's degree in a quantitative field or commensurate work experience • 2-5 years of experience in analytics, data science, management consulting, or related fields • Experience with LookML and 3rd party BI tools (Looker, Tableau, Superset, etc); experience with dbt is a plus • Experience crafting compelling stories based on data and driving decision-making with business stakeholders • Passion for high data quality and scaling product analytics or data science work • Advanced SQL and familiarity with ETL/ELT in a cloud-based data warehousing environment (AWS Redshift, BigQuery, Snowflake, etc) • Experience with AWS cloud services and environments, including AWS Glue, AWS Lambda, and AWS Step Functions • Strong ability to condense complex concepts and analysis into clear and concise takeaways that drive action • Ability to conduct intermediate statistical analysis to inform business decisions, with directional accuracy • Strong communication, documentation, and data visualization skills • Passion for news and information or great experience in content analytics • Experience with digital subscriptions or in-app purchase mobile businesses • Experience cleaning, analyzing, and visualizing data using tools such as Python or R • Knowledge of Apache Spark and data warehouse table formats like Apache Iceberg and Apache Hudi • Experience with orchestration tools like Dagster • An eye for design when it comes to dashboards and visualization tools • Familiarity with experimentation and machine learning techniques
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