What is this role? 

As a Lead Data Analyst for Cirkul, you will be tackling challenges across Growth/Marketing, Finance, Retail, Manufacturing, Supply Chain, and Customer Support teams to quickly deliver insights through analysis and experimentation, review and develop metrics, and develop business processes to scale analytics to support a hyper growth business. You will serve as the technical lead and resource for the entire data analytics team. 

The ideal candidate must be able to roll up his/her sleeves to work independently and contribute to the output and results. He/she must have the ability to prioritize issues, deal with ambiguity and manage conflicting deadlines. The candidate should also be creative, data-driven, and aggressive in delivering results. Mentor and coach junior analysts on the team.

What does an average day look like? 

Driving Results:

• Design and develop KPIs tracking business performance across departments
• Build and automate tools to surface key data to stakeholders across a broad range of data literacy levels

Taking Ownership: 

• Monitor KPIs to identify potential opportunities to improve company performance

Making Decisions: 

• Collect, analyze, and explain data to key stakeholders and executive leadership

Cultivating Relationships: 

• Be a data evangelist: collaborate with both technical and non-technical teammates to supplement decisions with quantitative evidence

Instilling Trust: 

• Always auditing: build and maintain processes to track data and troubleshoot errors

Customer Focus: 

• Provide ad hoc analysis and forecasting as needed across a diverse set of teams
• Evaluate reporting needs and work with key stakeholders to prioritize overall strategy of the data team in answering company goals

What background should you have? 

• Bachelor’s degree in a quantitative field such as Economics, Engineering, Finance, Math, or Statistics. Master’s preferred
• Data-driven, detail-oriented individual with excellent analysis and problem-solving abilities
• 5+ years of DTC, Ecommerce, and/or Retail experience, preferred
• Fluency in data analysis and data-driven problem solving; a track record of using data to communicate results to key stakeholders
• Excellent verbal and written communication skills: the ability to present complex data in a digestible format to stakeholders of all data literacy levels
• Fluency with advanced SQL and Python
• Experience with experimentation and statistical analysis (e.g. causal inference)
• Comfortable creating dashboards in a BI framework such as PowerBI, Tableau, Looker, or comparable tools
• Ability to handle multiple projects simultaneously: superb time management and prioritization ability
• Ability to work independently and autonomously, as well as part of a team