Data Analyst (Product)

TL;DR

Data Analyst (Product): Supporting product decisions to optimize user experiences and drive better business outcomes with an accent on identifying new product opportunities and delivering actionable recommendations. Focus on deep-dive analyses on product health and usage using funnel analysis, root cause analysis, and statistical modeling to uncover insights and drive growth.

Location: Must be based in the US

Salary: $150,000 - $180,000

Company

hirify.global is a Workflow AI platform that automatically captures and optimizes workflows used by more than 94% of the Fortune 500 to ensure work gets done right and to see how to do it even better.

What you will do

• Partner with the VP of Product to define and execute on hirify.global's data strategy that aligns with organizational goals and delivering it through data initiatives.
• Partner closely with Data Engineering, Revenue Ops, and Finance teams to leverage their help to paint a holistic picture for customer impact.
• Develop and implement North Star metrics by creating scalable datasets and dynamic dashboards, delivering timely, actionable insights that enable data-driven decision-making.
• Measure the impact of every new feature before, during, and after development to ensure everything is shipped with a positive impact on business metrics.
• Conduct deep-dive analyses on product health and usage using funnel analysis, root cause analysis, and statistical modeling to uncover insights and drive growth.
• Help build the foundation for a high-performing data analytics team by mentoring future analysts and fostering a culture of rigorous experimentation and continuous learning.

Requirements

• 5+ years of experience in data-focused roles that support a product audience and can help make roadmap trade-offs in a fast-paced environment (startup experience preferred).
• Expertise in SQL to build complex, scalable queries, with familiarity in a scripting language like Python for descriptive and statistical analysis.
• Hands-on experience with Snowflake, dbt, Sigma Computing, and Mixpanel (or similar tools).
• Care about the details and going above and beyond the surface-level asks to leverage data to help predict how every new feature will impact the overall business.
• Deeply understand the users and be excited about understanding the rich dataset across different customer cohorts to build metrics frameworks to explain user behaviors.
• Exceptional communication and stakeholder management skills, with the ability to translate complex data insights into actionable strategies for diverse audiences.

Culture & Benefits

• Some of the nicest and smartest teammates you’ll ever work with.
• Competitive salaries.
• Comprehensive healthcare benefits.
• Equity in a hypergrowth startup.
• Flexible PTO.
• 401k.