Overview
As Senior Product Manager for our Analytics team, you’ll be responsible for making product decisions and executing on delivering a world-class e-commerce analytics software product. You’ll work closely with customers and our analytics team to help our store owners gain valuable and actionable analytics on their business.
Our stack includes: Python, Flask, Jinja, ES6, Vue.js, Sass, Webpack, Redis, Docker, GCP, Terraform, Ansible, Memcached, Nginx, Snowflake, Looker, Fivetran
What you’ll do
- Live by and champion our values: #day-one, #ownership, #empathy, #humility.
- Own the roadmap and development of Recharge ecommerce data products.
- Build new tools and reports to showcase the value merchants get and inform future revenue growths strategies.
- Collaborate closely with data science, data engineering, and sales teams to understand and meet merchant needs with best-in-class methodologies.
- Conducts bespoke analysis for key merchants as needed, while automating and improving processes to meet the majority of merchants requests.
- Creating novel ways to leverage our investment in data and tools to build data products that merchants can use to grow revenue.
What you’ll bring
- 5+ years of product management experience in fast paced environments
- 3+ years of analytics experience; building and designing analytics products
- SQL master and experience with big data analytics
- Ability to influence product and team direction and take ownership of outcomes
- Strong analysis, process, problem solving and critical thinking skills
- A strong attention to detail; i.e. How do null values impact reporting?
- Strategic mindset with the ability to plan for the future while focusing on execution today
- Experience with user stories, sprints, and agile development methodologies
- Experience working with data models, reporting and visualization tools
Bonus skills
- Data visualization tools such as Tableau, D3, Highcharts, Looker
- Experience with business intelligence pipelines and data warehousing solutions
- Experience with Snowflake, Fivetran, Redshift, BigQuery, Hadoop, Kafka