Data Analyst

We are seeking a highly skilled and motivated Data Analyst to join our team at Contentsquare. In this role, you will play a crucial part in our value creation and innovation efforts. Collaborating closely with our UX/UI Designers and Customer Success Managers, you will undertake various data analysis projects and services for our clients.

As an analyst, you will possess excellent listening and communication skills, enabling you to understand and persuade key decision-makers on the client side. Leveraging your expertise, your primary objective will be to transform data into compelling stories through clear and precise data visualizations in a timely and efficient manner.

Examples of the analyses you will conduct for our clients include product page analysis, addressing specific questions such as high cart drop-off rates, developing dashboards, benchmark services, and clustering, among others.

• Provide tailored services to our clients.
• Understand your client's business questions and devise impactful and creative methods to answer them using data.
• Create comprehensive UX analysis reports using raw data and Contentsquare's extracted data.
• Present your analysis findings to clients
• Establish yourself as an expert in Contentsquare and its data.
• Conduct exploratory analysis to identify opportunities for new features.
• Contribute to product evolution by defining specifications, prioritizing roadmap items, and suggesting improvements.
• Serve as a point of contact for insight generation and data reliability for internal resources such as Customer Success, Product team, and R&D.
• Innovate and develop new analysis methodologies and data visualizations.
• Being part of the Professional Services team, you will be operating in a consultancy type model with a bill ability target to meet.

• 1-3+ years of experience in a related position.
• Excellent oral and written communication skills in English.
• Strong passion for data, numbers, and storytelling.
• SQL experience.
• Ability to work independently, demonstrating thoroughness, attention to detail, and delivering results in an organized manner.
• Comfortable operating in a fast-paced, technically challenging, and data-driven environment.
• Proficiency in data visualization and the ability to communicate insights through data.
• Business-oriented mindset with a consultative approach towards clients.

• Prior professional experience in eCommerce, Analytics, A/B testing, or data-oriented businesses.
• Degree in a related field, Computer Science, Data science or statistics.
• Bachelor’s degree or Master’s in Data Science, Statistics, Computer Science, or a related field.
• Python or coding experience.
• Understanding of web performance and metrics that influence it.
• Oral and written fluency in additional languages, particularly French, Spanish, Italian and German will be an added advantage.

$90,000 - $100,000 a year

For compensation, we set standard ranges for all roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus, commission, equity, or benefits.