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The Staff Product Data Analyst position at Contentsquare is designed for individuals who are passionate about leveraging data to drive strategic decision-making and enhance product performance. This role is crucial to the company's product team, focusing on delivering actionable insights that result in measurable improvements in product KPIs and overall user satisfaction. Reporting to the Data Analytics manager, you will work within the Product Insights department, collaborating closely with both the Product Data Analytics team and the Product Research team.
Located anywhere in the world and operating under a full-time contract, this position supports Contentsquare's Growth product line by facilitating a shift from a trial to a self-service model, directly partnering with the Director/VP of Product.
As a Staff Product Data Analyst, your primary duties will include:
Identifying and Establishing KPIs: You will play a vital role in determining the core Key Performance Indicators (KPIs) that will be utilized by the product team to assess product success.
Guiding Product Teams: Empowering product teams through advanced methodologies and analytical tools to foster a data-driven culture will be crucial. You’ll need to train and support teams in leveraging data insights for their decision-making processes.
Shaping Experimentation Strategy: In this fast-paced role, you’ll design A/B tests and create testing guidelines while ensuring success metrics align across teams. This involves validating technical setups and tracking experiment performances.
Conducting Thorough Analysis: Analyzing product performance metrics and understanding user behavior will allow you to identify trends and opportunities for enhancement. Your findings will guide strategic decisions that could enhance product functionality and user experience.
Collaborating on Customer Journey Insights: Partner with the Product Researcher to maintain an overview of performance insights throughout the customer journey, pinpointing knowledge gaps and proactively influencing product roadmap discussions.
To succeed in this position, you will need:
Statistical Analysis Proficiency: A strong background in statistical analysis, data modeling, and data visualization is essential. You should be able to interpret complex datasets and translate your findings into actionable insights.
Experience with Analytical Tools: Familiarity with data analysis and visualization tools like SQL, DBT, Excel, and Tableau is required. Expertise in creating data visualizations will help in effectively communicating insights.
Problem-Solving Skills: The ability to identify issues, analyze root causes, and develop effective solutions is critical. A methodical approach to problem-solving and attention to detail will be valuable.
Communication Skills: Strong written and verbal communication skills are necessary for presenting your findings and insights to non-technical stakeholders clearly and effectively.
Project Management Skills: You should exhibit strong organizational skills to manage multiple projects simultaneously, ideally with experience in project management tools and methodologies.
Cross-Functional Team Experience: Previous experience working within cross-functional teams, including product managers, engineers, and designers, is needed for this role.
Understanding of Business Strategy: A good grasp of business mechanics and how data-driven insights can support product and business goals is necessary. You should be able to align data analysis with business objectives.
Candidates must have a prior experience as a data analyst, accompanied by a relevant business or engineering degree.
While the above skills are mandatory, additional qualifications that can enhance your candidacy include:
The Staff Product Data Analyst position at Contentsquare offers a unique opportunity to engage deeply with data to advance product performance and user satisfaction. The role emphasizes both technical proficiency and the ability to communicate findings to enhance product decision-making processes. If you have the requisite skills and passion for data, this position could be a perfect fit for you.
This job offer was originally published on weworkremotely.com
April 1, 2026
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