What are the responsibilities and job description for the Senior Product Analyst position at Muck Rack?
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.
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.
What you’ll do:
- 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
To be set up for success in this role, you’ll need to have:
- 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
If any of the below also describe you, this could be an exciting opportunity:
- Demonstrated ability to design, execute, and interpret A/B tests and other experimental frameworks
- Predictive modeling to identify product opportunities and risks
- Familiarity with data governance, ensuring accuracy, privacy, and security of all data-related processes
- A curious, analytical mindset that is eager to solve challenging problems with data
Interview Overview
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
- 1 hour technical interview
- Two peer interviews
- Final call(s) with executive team member(s)
Salary
The starting salary for this role is between $110,000 - $126,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. For all other countries, we have competitive pay bands based on market standards.
Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.
Salary : $110,000 - $126,000
