Job summary
Job overview
The Director of Data & Analytics at Trade Coffee leads the data and analytics function to drive strategic business decisions and growth in the eCommerce coffee market.
Responsibilities and impact
The role involves managing a data team, building dashboards, developing KPIs, leading experimentation, overseeing data tool implementation, managing cross-functional data initiatives, and coaching analysts.
Compensation and benefits
The position offers a competitive salary range of $160,000 to $200,000 in NYC, unlimited vacation, $500 annual coffee stipend, best-in-class health benefits, 401(k), paid holidays, and comprehensive insurance coverage.
Experience and skills
Candidates should have a bachelor's in a quantitative field, 6+ years of data analysis experience, strong skills in Looker, Python, SQL (Snowflake), experience with eCommerce analytics, and familiarity with Trade's tech stack.
Career development
Opportunities include mentorship from the CFO and leadership team, growth in a mission-driven company, and the chance to leave a significant impact on the organization.
Work environment and culture
Trade Coffee promotes a hybrid-first work environment with an emphasis on in-office collaboration three days a week, fostering connection and transparency in a values-based culture.
Company information
Trade Coffee is a growing eCommerce company specializing in personalized coffee subscriptions, curating over 450 coffees from 60+ roasteries, with over 9 million bags sold.
Team overview
The candidate will lead a small but impactful data and analytics team reporting to the CFO, working cross-functionally across the company.
Job location and travel
The role is based in NYC with a hybrid work model requiring at least three days in-office per week.
Unique job features
The job features working with a sophisticated matching algorithm, a strong tech stack, and the opportunity to influence key business metrics and customer experience through data-driven strategies.
Company overview
Trade Coffee is a specialty coffee subscription service that connects consumers with a variety of coffee roasters across the United States. They make money by offering personalized coffee subscriptions, selling individual coffee bags, and providing coffee equipment. Founded in 2018, Trade Coffee has quickly grown by leveraging a unique algorithm to match customers with coffee tailored to their taste preferences, ensuring a curated and high-quality coffee experience. The company emphasizes sustainability and ethical sourcing, partnering with roasters who prioritize fair trade practices.
How to land this job
Position your resume to showcase strategic leadership in data and analytics, emphasizing experience driving business outcomes in a DTC eCommerce environment like Trade Coffee’s.
Highlight technical proficiency with tools and languages mentioned in the job description such as Looker, Python, SQL (Snowflake), and familiarity with data warehouse platforms, Stitch, dbt, Hex, Shopify, MixPanel, and Google Tag Manager.
Apply through multiple channels including Trade Coffee’s corporate careers page and LinkedIn to maximize your application visibility.
Connect on LinkedIn with current Trade Coffee data and analytics team members or leadership; open conversations by referencing Trade’s innovative coffee matching algorithm or expressing enthusiasm for their data-driven culture.
Optimize your resume for ATS by incorporating key phrases from the job description like 'data-driven culture,' 'KPIs,' 'A/B tests,' 'eCommerce analytics,' and the specific tech stack to ensure your resume passes screening algorithms.
Use Jennie Johnson’s Power Apply feature to automate submitting tailored resumes across multiple platforms and identify relevant Trade Coffee contacts on LinkedIn, allowing you to focus your energy on preparing for interviews and networking effectively.
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