Please do not apply for this role if you are not physically located in Europe, Africa or the Middle East (UTC-1 to UTC+3). While this is a remote position, we can not consider candidates that are not based in these regions. You can find a detailed explanation in our Recruitment FAQs.
The world is undergoing a radical transformation. Work, commerce, and even education are moving online. Hotjar is at the core of that transformation.
Hotjar wants to make the web a better place. We’re building easy and intuitive product experience insight software for businesses selling online. We’re focused on helping our customers really understand what their end-users are doing on their websites - to help them find those parts of their sites that are hard to navigate, just plain broken, confusing, or simply not enjoyable.
Reporting to our Commercial Analytics Lead, we’re looking for a curious and collaborative Sales Data Analyst, who is passionate about building data solutions and driving change through data, to join our Data Science & Analytics Squad.
As a Sales Data Analyst in our Data ‘n’ Analytics Tribe, you’ll work with our Sales teams, leveraging our data stack (Salesfoce, Redshift, dbt, Tableau, Mixpanel, Python), to enable everyone to move quicker, with more confidence in the data. You’ll empower the entire organization to make the best decisions possible by helping them to uncover and generate accurate and useful insights, helping us make better decisions, and building what our customers need.
You will:
Own the Sales data domain and prioritize work streams between the Sales team and the Data ‘n’ Analytics tribe.
Build data models to accelerate the business by providing deeper insights into visitor and customer behaviors, and feed the team’s hunger for actionable insights.
Own the data products you build from end to end that enable self-serve analysis, by gathering requirements, defining the scope, and delivering on the execution of the final product.
Support internal executives and the Sales Operations team with detailed visibility into all aspects of business performance. Work closely with Sales Ops to monitor sales metrics and understand how our KPIs impact the business.
Support Sales teams within the company with in-depth analyses and proactively generate recommendations to improve Sales strategy and performance.
Filter and “clean” data by reviewing multiple data sources and performance indicators to locate and correct inconsistencies.