Data Analyst, Premise Data

• Fluency in English (written & spoken) with excellent communication skills
• BA/BS
• Relentless drive to listen, learn, and improve the world around you
• Eagerness to dive into a demand-driven queue of analytics requests covering a wide spectrum of responsibilities and projects
• Eager to teach and document your analytical deliveries so others may build off your work
• 2+ years experience in a role with exposure and working with:
• SQL
• Experience with a data visualisation tool (Periscope Data, Tableau, Qlik, Looker, etc)
• General analytics experience, generating client-facing reports, ideally in the commercial sector (ie market research companies, consumer packaged goods vendors, etc)
• Quantitative or statistical analysis experience

Desirable

• Engage end users to understand collection requirements and goals
• Work with the Customer Success teams to establish data collection goals, needs, and methods, as well as ultimate deliverables
• Engage closely with customers, both on-site and virtually, to understand the crucial questions that they need answers to
• Build customer-facing deliverables and/or visualisations
• Work with Data Solutions teams to build data collection mechanisms, evaluate early submissions, and create ongoing reports and analyses
• Work with those teams to build interactive dashboards using SQL queries and Looker to engage the underlying data
• Critically evaluate customer data and refine collection strategies
• Perform ongoing analysis of data to uncover issues related to quality, consistency, and/or comprehension of questions and tasks
• Highlight key insights using statistics and other analytically rigorous tools, packaging them for end users in easily digestible language and formats
• Recommend concrete suggestions for improvement and work with other teams to implement, tracking their impact and utility over time
• Support model and algorithm improvements through:
• Data cleaning, tagging, categorisation, and/or correction
• Exploratory analysis of user behaviour and results
• Best practices gleaned from industry research and/or broader customer use cases to improve trending, quality, and predictive models
• Translate research and requirements into recurring products
• Work with Product and Data Science teams to prototype new products and capabilities based on your research and/or customer requirements
• Support these teams’ efforts to improve existing data products to better meet customer requirements and/or increase data subscriptions/collection requests