Senior Data Analyst (Consumer)

TL;DR

Senior Data Analyst (Consumer): Building measurement frameworks, dashboards, and analyses for consumer growth and product engagement with an accent on connecting acquisition channels with in-product behavior and downstream outcomes. Focus on identifying high-impact growth segments, informing strategy through data, and continuously improving acquisition efficiency and product experience.

Location: Hybrid in Boston, Massachusetts, United States

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What you will do

• Write SQL queries and leverage analytics tools to create datasets and baseline reports for growth.
• Partner with product and functional teams to deliver analyses, datasets, and metrics across the full consumer funnel.
• Connect marketing channel performance with in-product behavior, conversion, and long-term customer value.
• Build scalable dashboards and self-serve reporting for clear visibility into growth performance.
• Proactively identify trends, anomalies, and risks across the growth funnel and support experimentation.
• Act as a trusted analytics partner, providing insights and recommendations to leadership.

Requirements

• 6+ years of experience in Data Analytics, Growth Analytics, Marketing Analytics, or Product Analytics, or equivalent.
• Strong SQL skills and experience with statistical analysis and modeling (e.g., Python, R).
• Understanding of growth funnels and B2C customer metrics at a company that has achieved scale.
• Hands-on experience with data platforms (e.g., Snowflake, Amplitude, Heap) and visualization tools (e.g., Looker, Hex, Sigma, Tableau).
• Proven ability to QA data and ensure accuracy, consistency, and trust in reporting.
• Strong communication and storytelling skills to translate complex data into actionable insights.

Nice to have

• Experience in consumer growth, lifecycle, or marketing analytics at a high-growth tech company (B2C and B2B contexts).
• Expertise with tools such as Hex, Looker, Snowflake, Sigma, Airflow, dbt, GitHub, AWS, Python, and AI-powered analytics tools.
• Experience integrating and attributing data from marketing platforms.

Culture & Benefits

• Hybrid work model fostering in-person collaboration.
• Strong focus on experimentation, testing, and iteration within a startup-like environment.
• Provides AI tools across all disciplines to empower employees to build faster and with higher quality.
• Competitive compensation and benefits programs focusing on health and flexibility.
• Commitment to Diversity, Equity, and Inclusion.

Hiring process

• Uses AI tools to support recruiters and interviewers with tasks like note-taking and summarization.
• All hiring decisions are made by people.