Senior Data Analyst, GTM

Hello Heart

8h•$145,000 - $160,000

About The Position

Hello Heart is growing and is looking for a Senior Data Analyst to join our Data Science and Analytics group and help drive business decisions across the company. In this role, you will uncover data insights and provide ad-hoc analytics support to our teams across the entire organization. Reporting to our Analytics Team Lead, you will have many opportunities to learn and expand data skills by working with our growing data team of analysts, scientists, and engineers. The data team works cross-functionally with the Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success teams.

Requirements

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.

Nice To Haves

A powerhouse data analyst. 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.
AI-forward in how they operate. 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.

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.