We love going to work and think you should too. Our team is dedicated to trust, customer obsession, agility, and striving to be better every day. These values serve as the foundation of our culture, guiding our actions and driving us towards excellence. We foster a culture of performance and recognition, allowing us to transform growth as we enable our employees to do the best work of their careers.
This position is based in Boston, MA. Across the globe, our Centers of Energy serve as hubs where we accelerate productivity and collaboration, inspire creativity, and cultivate a culture of connection and celebration. Our teams coordinate their time in Centers of Energy to reflect how they work best.
LogicMonitor is proud to be an equal opportunity employer. We deeply care about our employees’ well-being, fostering an environment where every individual is valued and respected. We celebrate the diversity of our team and are committed to fostering a culture of inclusivity. Come as you are, be yourself, and let's grow together.
What You'll Do:
LM Envision, LogicMonitor's leading hybrid observability platform powered by AI, helps modern enterprises gain operational visibility into and predictability across their IT stacks, so they can continue to deliver extraordinary employee and customer experiences. LogicMonitor has a layered approach to intelligence, where AI and Machine Learning is baked into every facet of the LM Envision platform to help IT teams improve efficiency, minimize alert fatigue, proactively predict trends, and maximize enterprise growth and transformation.
LogicMonitor is looking for a talented and experienced Product Data Analyst to ensure LM’s products are successfully launched, adopted, and utilized by both internal teams and customers. You'll gain invaluable experience leveraging data to generate insights that optimize product development, performance, and user experience. Working within the Product Operations team, you'll analyze product usage data to guide product strategy and development.
Collaboration across teams—product, engineering, marketing, sales, and customer experience—is essential to ensure product decisions are data-driven, customer-focused, and aligned with business goals. This role reports directly to the Sr. Director of Product Operations and provides plenty of opportunity to make your mark at LogicMonitor.
Here's a closer look at this key role:
- Data Collection & Management: Gather and manage product data from internal and external sources, including user feedback, sales, customer experience data, and usage metrics, ensuring data integrity and availability.
- Data Analysis & Insights: Conduct in-depth analysis on product performance, user behavior, and market trends to provide insights and product scorecards that drive product development and feature improvements.
- Reporting & Visualization: Develop reports, dashboards, and visualizations to communicate key insights to product management, engineering, and GTM teams.
- Product Performance Monitoring: Analyze key product metrics (e.g., user engagement, churn, feature usage) to identify improvement opportunities and deliver actionable recommendations.
- Cross-functional Collaboration: Work closely with product managers, UX designers, engineers, and business operations to ensure data-driven decisions throughout the product lifecycle.
- User Behavior Analysis: Examine user behavior to identify pain points, optimization opportunities, and areas for growth.
- A/B Testing & Experimentation: Design and analyze A/B tests to evaluate the impact of new features or changes, providing data-driven recommendations for continuous improvement.
What You'll Need:
- Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
- 2+ years of experience in data analysis, preferably in a SaaS or product-focused environment.
- Proficiency in data analysis tools like SQL, Python, R, or Excel.
- Experience with data visualization tools such as Tableau, Looker, or Power BI.
- Strong knowledge of statistical analysis, A/B testing, and experimentation.
- Excellent problem-solving skills with the ability to turn data into actionable insights.
- Strong communication skills for presenting findings to both technical and non-technical stakeholders.
- Experience working with large datasets while ensuring data quality and integrity.
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