Data Analyst

What You'll Do

• Analyze core business topics using Highspot’s product and business data (such as user behaviour on the Highspot platform, customer health, and the operations of our internal teams) to gain insights that will drive product development and enhance platform effectiveness.
• Partner with cross-functional teams and identify opportunities where statistics, machine learning, and operations research techniques can be used to make a significant impact and then design, develop, deploy and monitor those solutions.
• Partner with our Data Engineering team to conceptualize data pipelines that can extract data and insights for daily business management in an automated manner.
• Define top-level business, team, and product metrics and build automated reports in close coordination with cross-functional stakeholders.
• Cultivate a nuanced understanding of Highspot's data and lead research to uncover new opportunities for analytics within Highspot’s product and business.

Your Background

• Advanced degree (MS)  in Data Science, Computer Science, Artificial Intelligence, Statistics, or related quantitative fields.
• 3+ years of experience using SQL to extract and transform complex structured and semi-structured data from a data warehouse (Snowflake, Postgres, Mongo etc).
• 2+ years of experience using Tableau to build impactful reports and dashboards.
• 3+ years of experience in Python and related analytics libraries to wrangle, visualize, analyze, and build statistical/Machine Learning models.
• 3+ years of experience in designing, developing and deploying predictive models to address real-world business problems; relevant techniques include regression, classification, clustering, dimensionality reduction, ensemble methods, recommender systems, and linear/integer programs.
• 3+ years of experience using git to version control code and collaborate with other Data Analysts and Engineers on projects.
• 2+ years of experience working with AWS cloud technology.
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and solving impactful business problems.
• Excellent written and verbal communication skills to explain complex research to technical and non-technical audiences and to publish insights from your work.
• Driven by empathy to support, learn, and contribute to a team’s success.
• Prior experience working remotely with a team based in the U.S. is preferred.