Senior Data Analyst, Go-To-Market [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst, Go-To-Market based in United States.

This role offers the opportunity to transform complex data into actionable business insights that influence strategic decisions across the organization.
The Senior Data Analyst will partner with teams including Marketing, Finance, Product, Sales, and Customer Success to uncover trends and drive measurable impact.
You will design scalable reporting solutions, build advanced dashboards, and improve data processes using modern analytics and AI-powered tools.
Working within a fast-paced, innovative environment, you will help teams make smarter, faster decisions through high-quality analysis.
This position is ideal for an analytical problem solver who enjoys turning data into meaningful business recommendations.
You will collaborate with data professionals and business stakeholders while contributing to a mission-driven organization focused on improving health outcomes through technology.

Accountabilities:

The Senior Data Analyst will be responsible for developing data-driven solutions that support business growth, operational efficiency, and strategic decision-making. This role requires strong analytical thinking, cross-functional collaboration, and the ability to translate complex datasets into clear recommendations.

• Partner with cross-functional teams including Marketing, Finance, Product, Sales, Medical Affairs, and Customer Success to understand business needs and deliver actionable insights.
• Analyze large datasets to identify trends, patterns, risks, and opportunities that support business growth and operational improvements.
• Define data requirements and improve reporting processes to ensure accurate, consistent, and scalable analytics.
• Develop, optimize, and automate data pipelines using SQL, Python, AI tools, and modern data engineering technologies.
• Build and maintain interactive dashboards and reporting solutions that enable self-service analytics across teams.
• Identify opportunities to streamline workflows, reduce manual efforts, and improve overall data efficiency.
• Translate analytical findings into compelling visualizations, presentations, and recommendations for technical and executive audiences.
• Collaborate with analysts, data scientists, and engineers to enhance data quality, reporting accuracy, and analytical standards.

Requirements:

The ideal candidate brings strong technical expertise, business acumen, and a passion for using data to solve complex problems. They should be comfortable working independently, managing multiple priorities, and communicating insights effectively across diverse teams.

• Bachelor’s degree in a quantitative, technical, business, or related field, or equivalent professional experience.
• 5+ years of experience in data analytics, business intelligence, reporting, or a related analytical role.
• 5+ years of experience using Python for analytics, automation, or data science projects.
• Advanced SQL skills, including data extraction, transformation, validation, and performance optimization.
• Experience with business intelligence platforms such as Tableau, Looker, Power BI, or similar tools.
• Strong AI fluency, including experience using AI tools or agents to automate workflows, improve analysis, and increase productivity.
• Experience supporting analytics needs across multiple business functions such as marketing, sales, finance, product, or customer success.
• Strong understanding of data quality practices, including validation, documentation, and reporting accuracy.
• Ability to transform complex analysis into clear business recommendations for technical and non-technical audiences.
• Excellent communication, organization, and stakeholder management skills.
• Ability to work effectively in a fast-moving environment with changing priorities and limited direction.
• Collaborative, entrepreneurial mindset with strong problem-solving abilities and ownership.

Benefits:

• Competitive annual salary range of $140,000 - $160,000 USD , based on experience, skills, and qualifications.
• Opportunity to work in a fully remote environment across the United States.
• Comprehensive benefits package designed to support employee well-being and professional growth.
• Collaborative and inclusive culture focused on innovation, creativity, and teamwork.
• Opportunity to work with modern technologies including Tableau, Snowflake, DBT, AWS, Airflow, Python, AI tools, and Salesforce.
• Chance to contribute to impactful solutions using artificial intelligence and advanced analytics to improve healthcare outcomes.
• Professional growth opportunities within a fast-growing technology organization.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.