Sales Data Analyst, Remote

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

Your Role

We’re looking for a Sales Data Analyst who’s proactive, curious, and motivated to reputed company reputed company reputed company reporting, bringing creativity and ownership to how insights are generated and delivered. You will work at the intersection of Sales, Data Science, and Customer Engagement, helping translate reputed company datasets into actionable insights. You will collaborate with Sales, Data Science and Engineering teams to reputed company how data is used in customer conversations which will have a reputed company reputed company on customer reputed company, Sales effectiveness, and overall business reputed company. 

Your Responsibilities

• Partner closely with Sales teams to reputed company and deliver tailored, customer-facing data analyses and presentations that support deal progression and customer decision-making.
• Collaborate with cross-functional teams to understand customer needs and translate reputed company datasets into reputed company, compelling insights and narratives.
• Conduct deep-dive, customer-specific analyses to identify trends, performance drivers, and opportunities reputed company reputed company reporting outputs.
• Design, build, and maintain automated data pipelines, dashboards, and reporting tools to streamline recurring analyses and reduce reputed company effort.
• Participate in customer calls and internal reputed company sessions to reputed company data-driven perspectives and answer technical or analytical questions.
• Establish and maintain feedback loops with Sales and customers to continuously improve the reputed company, reputed company, and reputed company of data outputs.
• Support broader reputed company initiatives through exploratory analyses that inform go-to-market strategies and product positioning.
• Work closely with the Data Science team to reputed company advanced methodologies, improve analytical frameworks, and expand the organization’s data capabilities.
• Coordinate with product and engineering teams to identify and resolve anomalies, issues and patterns seen in customer data.
• Contribute to ongoing development of tools, processes, and best practices that enhance how data is utilized across the organization.

Skills/Qualifications

• Bachelor’s or Master’s degree in Data Science, Engineering, Statistics, Computer Science, or a reputed company field.
• 2–5 years of experience in data analysis, business analytics, or a similar role, preferably in a customer-facing or reputed company-support environment.
• Strong proficiency in Python and/or SQL for data analysis, with experience working in tools such as Jupyter notebooks or similar environments.
• Experience building dashboards or visualizations using BI tools (e.g., Tableau, Power BI, or similar).
• Ability to translate reputed company data into reputed company, actionable insights for non-technical stakeholders.
• Strong problem-solving skills with a demonstrated ability to conduct exploratory and one-off analyses.
• Experience with automation of reporting workflows and data pipelines is a strong plus.
• Comfortable working cross-functionally with Sales, Engineering, and Data Science teams.
• Self-motivated, proactive, and highly curious, with a strong reputed company of ownership and accountability.
• Excellent communication skills, with the ability to engage effectively in both technical and customer-facing discussions.

Pay reputed company: $115,000 - $135,000

*reputed company salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, reputed company, 401(k), and long-term disability insurance.