Sr. Product Analyst at Outreach
Your Daily Adventures Will Include
- Being a key partner for Outreach Product team to help create the right instrumentation and validate, clean and organize data into easy to consume data products
- Applying your expertise in quantitative analysis, data mining, data visualization and presentation to see beyond the numbers and understand how our users interact with Outreach products
- Identifying the opportunities most important for growth, to remove barriers for product adoption, retention and engagement, and partnering with our data science and engineering teams to support execution of those projects with data and insights
- Defining and analyzing metrics that measure the success and value of Outreach products and allow us to monitor the health of product adoption
- Designing and executing A/B tests to measure the impact of new features and deeper understand user behavior
- Communicating the state of business, experiment results, opportunities, etc. to the Outreach leadership team
- Influencing and informing Outreach product strategy through presentation of data-based recommendations
Basic Qualifications
- You have 5+ years of quantitative analytics experience and demonstrated success in using analytics to drive the understanding, growth, and success of a product
- You have expert knowledge of BI tools such as Tableau and product analytics tools such as Amplitude
- You have strong data manipulation skills in SQL or similar languages
- You have substantial coding experience in Python (preferred), or other languages
- You have experience working with distributed data processing frameworks such as Spark
- You have working knowledge of applied statistics including hypothesis testing, experiment design, regressions
- You are hands on, able to quickly pick up new tools and languages, excited about building things and experimenting, always looking to sharpen and adapt your skills
- You are experienced in thinking strategically, structurally solving product problems, driving execution, effectively partnering with and influencing product, engineering, and data science teams
- You go above and beyond to help your team
- You are honest, admit mistakes, and own fixing them
- You have a BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field