Senior Data Analyst, GTM

Hello Heart is hiring a Senior Data Analyst to uncover insights and support business decisions across the company. The role partners with cross-functional teams to deliver analyses, build scalable data pipelines and dashboards, and improve reporting and operations.

Responsibilities:

• Partner with cross-functional teams (Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success) to understand business needs and deliver actionable analyses
• Proactively explore data to identify patterns, trends, and opportunities that can drive business growth and operational improvements
• Define and manage data collection requirements across systems and functions to enable consistent reporting and insight generation
• Develop, optimize, and automate data pipelines using SQL, AI, and modern data engineering tools to deliver timely, accurate reporting at scale
• Build and maintain robust, interactive dashboards to enable self-service capabilities and reporting among our GTM and product teams
• Identify opportunities for process improvement and driving efficiencies across the data landscape
• Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives and external partners

Requirements:

• Data-driven, lives, breathes and dreams data and gets excited to analyze complex data sets, come up with new insights and solutions that are applicable in business settings
• You actively use GenAI to automate repetitive work, streamline analysis and reporting, and continuously find new ways to scale your output
• Strong data skills - data hygiene, sanity checks, etc
• Highly independent with strong problem-solving abilities and a go-getter
• Strong written and verbal communications skills
• Highly organized, able to multitask and easily adapt to change
• A strong team player that can work with multiple functions within the company
• Entrepreneurial, self-sufficient, and thrive in fast-paced environments
• BA/BS degree in quantitative or business fields, or equivalent work experience
• 5+ years of experience with advanced skills in SQL, reporting, data analysis, and/or visualization
• 5+ years of experience with Python for data analytics / data science projects
• 5+ years of experience working with BI/Analytics tools (e.g. Looker, Tableau, PowerBI, etc.)
• Professional experience supporting data needs across various departments, such as marketing, product, finance, etc