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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 Data Analyst, you'll support the day-to-day operations across the entire Coterie org (growth, product, CX, finance, operations, etc). 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. You'll be Looker advocate and expert #1 and be a constant partner to our stakeholders to keep them on top of business and functional area performance, identify key drivers of new trends, and automate time-consuming manual reporting tasks. 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 (some Stitch, Airbyte), dbt, Snowflake, BigQuery, Looker, Hex, Google Analytics 4, Google Tag Manager

Areas of responsibility:

• Perform ad hoc analyses, and partner with the Senior Analytics Engineer to operationalize repeated analyses.
• Contribute to our dbt and LookML projects through field and metric creation as business needs evolve.
• Create new and maintain existing reporting, dashboards, and alerts in Looker to support discovery, monitoring, analysis, and operational task automation.
• 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.
• Unlock insights to enhance the Coterie customer experience and drive the business forward.
• 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:

• 1-2 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.
• 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).
• Experience applying statistical techniques to understand and quantify the relationships between metrics and differentiate between correlation and causation.
• Experience with Python and/or R for analytical purposes.