Technical Product Data Analyst, Bark

• Advanced Google Standard SQL and MySQL or similar relational database language
• Familiarity with Google BigQuery or other data warehouse solution
• Experience with Tableau; creating & managing data sources and converting complex insights into a digestible format
• Experience using Python to aid in data analysis
• Knowledge and experience of measuring A/B testing and applying statistical rigour when analysing performance
• Basic understanding of Machine Learning and MLOps
• A strong ability to communicate findings to stakeholders in a concise and engaging manner
• Able to succeed in a high-performance environment where multiple projects are run in parallel
• Ability to work under pressure
• Ability to forge strong cross-functional relationships
• Eagerness to learn & develop new skills

Desirable

• We are looking for an enthusiastic and forward-thinking Technical Product Data Analyst to join the Insight Team at Bark
• The Insight Team plays a pivotal role within Bark providing recommendations, insight, and strategic learnings to internal stakeholders across the business
• Your focus will primarily be within the Core Services Product function to understand performance of our machine learning models, report on experimentation, enable the Sales team to better serve our customers and utilise our data to enable smarter business decisions as we work to make Bark the destination site for professional services globally
• Work closely with the data science team, both helping to formulate new ideas and features within existing models as well as facilitating and reporting on experiments involving our models
• Assist in the design, implementation, and analysis of A/B and multivariate tests related to our machine learning models and other products, quantifying the uplift and benefit of these changes
• Collaborate with cross-functional teams, including Product Managers, our Data Science, Sales and Engineering teams to identify key priorities, coordinate timelines, track progress, and identify potential issues
• Proactively seek opportunities for process improvements and efficiency gains within the product development lifecycle