Senior Data Analyst, Go-To-Market
New
H
Hello HeartHealth Tech
Remote USFull-TimeSenior
Salary140,000 - 160,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLArtificial IntelligenceBusiness IntelligenceMicrosoft Power BITableauData analyticsLooker
Requirements
- Strong artificial intelligence fluency, including experience using AI tools or agents to automate repetitive work.
- Bachelor’s degree in a quantitative, technical, or business field, or equivalent work experience.
- 5+ years of experience in data analytics, business intelligence, reporting, or a related analytical role.
- 5+ years of experience using Python for data analytics, data science, or automation projects.
- Direct professional experience using business intelligence and analytics tools, such as Looker, Tableau, Power BI, or similar platforms.
- Advanced SQL skills, including data extraction, transformation, validation, and performance optimization.
- Experience supporting data needs across multiple business functions, such as marketing, product, finance, sales, customer success, or medical affairs.
- Strong data hygiene practices, including quality checks, sanity checks, documentation, and validation.
- Ability to translate complex analysis into clear business recommendations for both technical and non-technical audiences.
- Strong written and verbal communication skills.
- High independence, strong problem-solving skills, and the ability to manage multiple priorities.
Responsibilities
- Partner with cross-functional teams, including 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 support 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 that enable self-service reporting across go-to-market and product teams.
- Identify opportunities to improve processes, reduce manual work, and drive efficiencies across the data landscape.
- Translate complex data into clear, compelling visualizations and presentations for diverse audiences, including executives and external partners.
- Partner with data scientists, analysts, and engineers to improve data quality, reporting accuracy, and analytical consistency across the organization.
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