The Role:
The Coterie Analytics team forwards strategy and operations across the organization through the ingestion, transformation, modeling, aggregation, and analysis of data. We partner closely with our stakeholders across the organization to make sense of and tell stories that drive better ideas, decisions, and outcomes.

As a Senior Data Analyst/Data Analyst, you’ll dive deep into our product analytics, email, SMS, and sales data to inform digital and product strategy to drive retention and LTV. You’ll inform the experimentation roadmap, design experiments to optimize learnings, and measure the success of experiments across site, email, and SMS. This role will play a key part in identifying, testing, and developing our personalization strategy. You’ll partner with the Senior Analytics Engineer to keep our data models in pace with our ever-evolving business and to develop solutions to new data challenges. We’re a small, but mighty Data team so you will have exposure to a lot of areas of the business and to functional areas within Data & Analytics.

Data Stack: Fivetran, Airbyte, dbt, Snowflake, Looker, Hex, Google Analytics 4, Google Tag Manager

Areas of responsibility:

• Identify key moments in the customer journey to mitigate churn and drive retention.
• Research initiatives and partner with the broader data and engineering teams to build data products that increase personalization and drive retention.
• Support the development of digital and growth team roadmaps through exploratory analyses, experiment design consultation, and supplemental experiment result analysis.
• As required, develop new metrics and create new reporting and dashboards in Hex and Looker.
• Support data collection practices, including QA’ing experiment treatments and releases for web event tracking integrity, along with providing requirements for new event and event parameter creation.
• Be a data mentor to business stakeholders - educate them on the data available to them, how to best use that data, and how to level up their Looker skills.

Qualifications:

• 1-4 years of experience in an analytical role or a Master’s degree in a technical field, such as Statistics, Finance, Business Analytics, Economics, Engineering, or similar.
• Solid SQL foundation, including CTEs, window functions, and datetime handling.
• Experience applying statistical techniques to quantify the relationships between metrics and to inform hypothesis testing design.
• Ability to develop trust and relationships with a variety of stakeholders.
• Stellar organizational and communication skills.
• Intellectual curiosity and analytical follow-through (you always ask “why?” and think about how you could answer that question).
• Superior analytical, problem-structuring, and visualization skills - you can get to the heart of a problem, identify what you need to answer the question, and present it in a manner that will inform decision-making.

Bonuses:

• Familiarity or experience with dbt and/or relational databases.
• Experience crafting dashboards and self-service capabilities for stakeholders through BI reporting tools (Looker, Tableau, Power BI, etc) and/or product analytics tools (Amplitude, Heap, etc.)
• Experience with Python and/or R for analytical purposes.
• Experience in SaaS or subscription-based retail companies.

The expected salary for this role is $85,000 - $125,000, depending on a number of factors including job, level, experience and skill set.