Job Description

About Highspot

Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work – it’s about what the company stands for, and how it authentically represents its values in the real world. To this end, we have put intentional focus on creating equitable workspaces for each of our employees. Our goal is to create a culture where everyone feels a deep sense of belonging and is empowered to be an agent of change, with the ability to transform themselves, their workplace, and their world.


About the Data & Services Engineering (DSE) Team

The Data & Services Engineering (DSE) Team is on the mission of building innovative solutions to drive growth and adoption of the Highspot platform, drive operational efficiency to scale our customer services organization, generate impactful analytics insights we can share with customers and industry, integrate & share curated data from our data warehouse to empower data-driven decision making across the company.

About The Role

We are looking for a passionate Product Analyst with strong proficiency in distilling meaningful insights and track record of creativity in deploying different data analysis and visualization techniques. You will collaborate with the Product Insights team and work with a diverse group of researchers, product managers, software engineers, and company leaders, on high visibility projects with the goal of identifying issues that will continue to improve product performance, customer happiness, and business success.

What You'll Do

        Partner with Product Insights, Product Managers, and Engineering, to generate user and product performance insights and generate trends over time
        Design, develop and streamline core metrics for Highspot product
        Design, develop, monitor and maintain in Tableau and Amplitude
        Perform statistical analysis, regression modeling, data mining, and visualizations to find actionable business insights with the goal of influencing key strategic projects
        Analyze results from product experiments, including A/B testing
        Communicate data-driven insights and recommendations to key stakeholders


Your Background

        BS Degree in Data Science, Statistics, Mathematics, Economics, or any other relevant fields
        3+ years of demonstrated success in product analytics and/or data science
        Advanced knowledge of SQL to query and transform complex structured and semi-structured data from Snowflake, Postgres, Mongo etc
        3+ years of experience using Tableau to build impactful reports and dashboards (Official Tableau Certification a plus)
        3+ years of experience in Python and related analytics libraries to wrangle, visualize, analyze, and build statistical models (i.e. regression analysis, clustering, classification, anova, recommender systems)
        1+ year(s) of experience running and analyzing the results of A/B tests
        Expertise in statistical analysis and publishing insights to help evaluate the incremental success of a product throughout its entire life cycle
        Excellent time management, ownership, and attention to detail
        Demonstrable track record of dealing well with ambiguity, prioritizing needs, and solving impactful business problems
        Combination of deep technical skills and business sense, to interface with all levels and disciplines within an organization and excellent written and verbal communication skills
        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
        Experience working with a SaaS Product team is a plus


Equal Opportunity Statement

We 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.

Did you read the requirements as a checklist and not tick every box? Don't rule yourself out! If this role resonates with you, hit the ‘apply’ button.