Senior Business Data Analyst

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Business Data Analyst in United States.

This role sits within a dynamic product usage analytics team focused on transforming large-scale usage data into meaningful insights that guide product strategy and decision-making. You will analyze complex datasets across a portfolio of digital research tools, helping internal stakeholders better understand user behavior, product performance, and emerging trends. The position requires strong analytical capability, attention to detail, and the ability to translate technical findings into clear, actionable business insights. You will collaborate closely with cross-functional teams to define reporting needs and deliver both recurring and ad hoc analysis. The environment is fast-paced, data-driven, and highly collaborative, with a strong emphasis on continuous improvement and innovation in analytics practices. This is a high-impact role where your insights directly influence product decisions and user experience enhancements.

Accountabilities

• Collect, clean, and analyze large-scale product usage datasets to identify trends, patterns, and performance insights.
• Develop and deliver recurring and ad hoc reports for internal stakeholders in a clear, accessible format.
• Translate business questions into structured analytical approaches and actionable insights.
• Collaborate with product, engineering, and business teams to understand reporting needs and deliver relevant analysis.
• Build and maintain dashboards, reports, and data visualizations to support decision-making.
• Identify anomalies, data quality issues, and opportunities for improving data collection and reporting processes.
• Support continuous improvement initiatives for analytics workflows, tools, and methodologies.
• Manage multiple concurrent analytical projects while ensuring accuracy and timely delivery.
  
  

Requirements

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• 5+ years of experience in a Business Data Analyst or similar analytics role.
• Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, and data visualization techniques.
• Strong SQL skills with experience writing and optimizing queries for large datasets.
• Solid understanding of descriptive statistics and ability to interpret analytical results.
• Experience working with large, complex datasets in a business or SaaS environment.
• Strong communication skills with the ability to translate technical findings into non-technical insights.
• Excellent problem-solving skills with strong attention to detail and data accuracy.
• Strong organizational and time management skills with the ability to manage multiple priorities.
• Ability to work independently in a remote, fast-paced environment.
• Experience with product usage analytics or SaaS data is a plus.
  
  

Benefits

• Competitive salary ranging from $86,155 to $123,075 USD depending on experience and qualifications.
• Fully remote US-based position with strong work-life balance flexibility.

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• Comprehensive medical, dental, and vision insurance coverage.
• Access to training, tools, and career development resources.
• Collaborative and supportive team environment within a global organization.
• Opportunities to work with large-scale datasets and impactful product analytics initiatives.
• Paid time off and standard employee benefits package.
• Stable, mission-driven environment focused on innovation and continuous learning.
  
  

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!

Why Apply Through Jobgether?

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.