Role Overview:

As a Senior Data Analyst at Our Client , you will be responsible for analyzing large datasets, generating actionable insights, and driving data-based decision-making across various teams. You will work closely with the product, marketing, and engineering teams to optimize the company’s SaaS offerings, enhance customer success, and improve operational performance. The role will involve leveraging advanced analytics to influence business strategies and growth.

Key Responsibilities:

• Data Analysis & Reporting : Conduct in-depth analysis of customer usage patterns, financial performance, and product metrics to provide insights that guide business decisions.
• Business Intelligence : Develop and maintain advanced dashboards and data models using tools like PowerBI, Tableau, and SQL to support key stakeholders across the organization.
• Strategic Collaboration : Partner with Product, Marketing, and Engineering teams to optimize product features and marketing strategies based on data insights.
• Forecasting & Trend Analysis : Use statistical models to predict future trends and help inform strategic business decisions.
• Process Improvement : Identify areas for improvement in current reporting processes, suggesting improvements to streamline workflows and ensure accurate reporting.
• Mentorship : Provide guidance and mentorship to junior data analysts, ensuring high-quality work and timely project delivery.

Qualifications:

• Experience : 4+ years of experience as a Data Analyst, with at least 2 years in a SaaS or technology-focused environment.
• Technical Skills : Proficiency in SQL , Python (or similar programming languages), and data visualization tools (such as Tableau, PowerBI, etc.). Familiarity with data warehousing and cloud platforms (AWS, GCP, or Azure) is a plus.
• Analytical Expertise : Strong ability to apply data analysis methodologies, statistical modeling, and A/B testing to derive insights.
• SaaS Experience : Familiarity with SaaS business models, subscription-based metrics (e.g., MRR, ARR, LTV, churn rate), and customer lifecycle analysis.
• Communication Skills : Excellent ability to convey complex data insights to non-technical stakeholders in a clear and concise manner.
• Education : Bachelor’s degree in Data Science, Computer Science, Statistics, Economics , or a related field. A Master’s degree is a plus.
• Work Authorization : must have full authorization to work in the U.S. without current or future need of sponsorship.

Why Join Our Client?

• Innovative Environment : Be part of a company at the forefront of the SaaS industry, leveraging cutting-edge technology and data analytics to solve real-world problems for customers.
• Impact : Your contributions will directly impact the growth and evolution of the company, helping it maintain a competitive edge in the market.
• Collaboration & Growth : Work with passionate, talented colleagues in a fast-paced environment that values innovation, creativity, and professional development.
• Boston Location : Enjoy the benefits of working in Boston , one of the nation's premier hubs for technology, innovation, and data analytics careers.