Senior Product Analyst, Muck Rack

• Our ideal candidate is a self-starter who is passionate about leveraging data to solve complex problems
• If you are excited by the prospect of shaping our product strategy with data and have a track record of turning insights into impact, this is the role for you
• 5+ years of experience in a product analytics or similar role, with a proven track record of driving product improvements through data insights
• Advanced proficiency in Snowflake, Python, and SQL (knowledge of data engineering principles is a plus)
• Strong understanding and experience with product analytics tools such as PostHog, Heap, Amplitude, Mixpanel, and Google Analytics
• Expertise in data visualization tools like Tableau, Looker, Observable or Power BI
• Strong knowledge of statistical analysis techniques
• Ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and meet tight deadlines
• Exceptional communication skills—both verbal and written—capable of translating complex data into clear, actionable insights

Desirable

• We are looking for an experienced Senior Product Analyst to spearhead our product analytics efforts and drive data-informed decision-making and storytelling across the organization
• In this role, you'll be the go-to expert for transforming the raw data our platform creates into meaningful insights that guide product development, user engagement, and overall business growth. In doing so, you’ll also propose additional areas where data collection could be valuable
• You'll partner with Product, Engineering, and business teams to uncover trends, identify opportunities, and track key metrics
• Develop key product metrics and dashboards that reflect product health, user engagement, user value realization, and feature performance
• Use platforms like PostHog, Heap, Amplitude, Mixpanel, and Google Analytics to track and analyze user behavior, funnel performance, and customer journey insights
• Collaborate with cross-functional teams (Product, Engineering, Marketing, Customer Success) to ensure data-driven decisions are embedded in our product development process
• Lead and conduct end-to-end exploratory data analysis (EDA) to uncover trends, identify insights, and solve product challenges using large and complex datasets
• Build and manage analytics workflows using Snowflake, Python, SQL, and additional tools as needed to ensure data accuracy and accessibility
• Deliver clear and compelling data visualizations, reports, and presentations to Leadership and other stakeholders, translating insights into actionable business recommendations
• Drive continuous improvement in analytics processes, tools, and methodologies to increase efficiency and effectiveness

• Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision
• 30 min interview with a member of our Talent Team
• 1 hour zoom interview with the hiring manager
• Peer interviews, including a 45 min technical interview
• Final call(s) with executive team member(s)