Data Analyst

About HighspotHighspot is a software product development company and a recognized global leader in the sales enablement category, leveraging cutting-edge AI and GenAI technologies at the core of its robust Software-as-a-Service (SaaS) platform. Highspot is revolutionizing how millions of individuals work worldwide. Through its AI-powered platform, Highspot drives enterprise transformation to empower sales teams through intelligent content management, training, contextual guidance, customer engagement, meeting intelligence, and actionable analytics. The Highspot platform delivers advanced features tailored to business needs, in a modern design that sales and marketing executives appreciate and is the #1 rated sales enablement platform on G2 Crowd.
While headquartered in Seattle, Highspot has expanded its footprint across America, Canada, the UK, Germany, Australia, and now India, solidifying its presence in the Asia Pacific markets.
About The RoleWe are looking for a skilled and passionate Data Analyst with experience working within the entire analytics lifecycle. As a Data Analyst, you will be responsible for analyzing large and complex data sets to identify patterns, create new metrics, develop predictive models, build dashboards, and generate insights that drive business decisions. You will lead high-visibility high-impact projects and work closely with a skilled and diverse group of domain experts, company leaders, software engineers, data analysts, data engineers, and beyond.

Responsibilities

• Analyze core business topics using Highspot’s product and business data (such as user behavior 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.

Required Qualifications

• Advanced degree (MS, PhD) in Data Science, Computer Science, Artificial Intelligence, Statistics, or related quantitative fields.
• 4+ 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.
• 4+ years of experience in Python and related analytics libraries to wrangle, visualize, analyze, and build statistical/Machine Learning models.
• 4+ 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.
• 2+ 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.

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Equal Opportunity StatementWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of age, ancestry, citizenship, color, ethnicity, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or invisible disability status, political affiliation, veteran status, race, religion, or sexual orientation.
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