Associate Data Analyst

$85,000 - $110,000/Yr

Contentsquare - New York, NY

Full-time - Entry Level

New York, NY

Publishing Industries

About the position

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. In this position, you will provide tailored services to our clients, understanding their business questions and devising impactful and creative methods to answer them using data. You will create comprehensive UX analysis reports using raw data and Contentsquare's extracted data, and present your analysis findings to clients. Establishing yourself as an expert in Contentsquare and its data will be essential. You will conduct exploratory analysis to identify opportunities for new features and contribute to product evolution by defining specifications, prioritizing roadmap items, and suggesting improvements. Additionally, you will serve as a point of contact for insight generation and data reliability for internal resources such as Customer Success, Product team, and R&D. Innovating and developing new analysis methodologies and data visualizations will also be part of your responsibilities. Being part of the Professional Services team, you will be operating in a consultancy type model with a billability target to meet.

Responsibilities

• 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.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Competitive salary range of $85,000 - $110,000 per year based on experience and location.