Senior Data Analyst, Product Analytics

Recharge is positioned to support the best Direct-To-Consumer ecommerce brands in the world. We are building multiple AI-based analytic products that revolutionize how our merchants leverage insight to retain and grow their business. 

We are looking for a data scientist who is value driven and passionate about providing actionable insights and helping to create data products that our product and growth teams can leverage. As a data scientist you will be working on both product analytics as well as advanced analytics projects working closely with data engineering and product to deliver value to our merchants through analytics and insights

You will be responsible for preparing data for prescriptive and predictive modeling, driving hypotheses, applying stats, and developing architecture for algorithms. 

What you’ll do

• Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

• Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).

• Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

• Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.

• Work independently to find creative solutions to difficult problems.

• Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.

• Write and maintain technical documentation for the data models and analytics solutions.
   

What you'll bring

• Bachelor's degree ,or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

• 5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) 

• Preferred experience in leveraging LLMs to address business challenges, and familiarity with frameworks such as Langchain.

• Experience developing and operating  within Snowflake

• Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact

• Preferred experience in dimensional modeling in dbt 

• Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.

• Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner

• Consistently navigates ambiguous technical and business requirements while making flexible technical decisions

• Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity

• Payments and/or Ecommerce experience preferred

Our Stack

Vertex ai, Google Colab, Looker, Dbt, Snowflake, Airflow, Fivetran, CloudSQL/MySQL, Python (Pandas, NumPy, Scikit-learn) , Gitlab, Flask, Jinja, ES6, Vue.js, Saas, Webpack, Redis, Docker, GCP, Kubernetes, Helmfile, Terraform, Ansible, Nginx