Data Analyst (AI)

TL;DR

Data Analyst (AI): Developing analytical tools and dashboards for Account Executives to improve demos and fine-tune AI models for prospective e-commerce customers with an accent on data exploration and user behavior analysis. Focus on driving product innovation and delivering business value by identifying relevant features and metrics.

Location: Able to work between 7 am and 3 pm Pacific Time to support the needs of our US-based sales team.

Salary: $80k - $120k USD

Company

hirify.global is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit.

What you will do

• Build tools and dashboards for Account Executives to help them create better demos for prospective customers.
• Work closely with Account Executives to fine-tune our AI models, ensuring they are optimized to deliver the most relevant and impactful results for each prospect's unique needs.
• Collaborate with Frontend Engineers and Account Executives to secure deals with prominent e-commerce brands.
• Take initiative and perform data exploration to understand user behaviour and suggest opportunities for improving recommendation & search systems.
• Actively foster our team’s sense of community.

Requirements

• Proficient in BI tooling (data analysis, building dashboards for engineers and non-technical folks).
• Excellent communicator with the ability to translate business asks into a technical language and vice versa.
• Comfortable managing multiple tasks simultaneously, effectively prioritizing them, and working under deadlines.
• Proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas & NumPy, data visualization libraries).
• A minimum of three years of professional experience or relevant academic experience.
• English: C1 level (CEFR) or higher.
• Able to work between 7 am and 3 pm Pacific Time to support the needs of our US-based sales team.

Nice to have

• Practical familiarity with the big data stack (Spark, Presto/Athena, Hive).
• Adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics.
• Willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level.

Culture & Benefits

• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• Work from home stipend.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Maternity & Paternity leave for qualified employees.