Gtm Operations Analyst

Summary

Join Placer.ai, a high-growth, big data tech company, as a Senior Data Analyst to conduct impactful analyses across the customer lifecycle. You will apply modeling techniques, monitor KPIs, and provide insights to stakeholders. Collaboration with cross-functional teams is crucial. Strong SQL and spreadsheet skills, data visualization experience, and excellent communication are required. The role demands proficiency in fast-paced environments and resilience to novel challenges. You will manage data analysis projects, create compelling visualizations, and work closely with business leaders to provide actionable recommendations. The ideal candidate has 3+ years of data analysis experience and 3+ years of people management experience.

Requirements

• Strong proficiency in spreadsheet management
• Strong proficiency in SQL, both querying as well as data structure
• General knowledge and understanding of data structures related to Salesforce
• Extensive knowledge and demonstrable experience with data visualization leveraging tools such as Looker Studio, Tableau, etc
• Ability to distill technical knowledge or statistical information into business insight for non-technical audiences
• Comfort and experience presenting to a broad range of audiences including executives, and ability to adjust content to align to the audience
• Ability to take broad business needs and distill into actionable requirements
• Ability to manage stakeholder relationships, schedule work according to priority and business need, and communicate status effectively
• Ability to refine vague requirements and tackle evolving challenges, with an ability to problem solve and work through challenges independently when required
• 3+ years of experience in data analysis or business intelligence
• 3+ years of people management experience
• 3+ years of experience in leveraging SQL for data analysis

Responsibilities

• Conduct in-depth data analysis to identify patterns, risks, and opportunities across the full customer lifecycle
• Identify trends and correlations in data that uncover opportunities to prioritize resources more effectively and forecast with greater accuracy
• Apply modeling techniques such as regression analysis, clustering, decision tree, random forest, etc
• Monitor company KPIs and proactively provide insights to business stakeholders
• Manage end-to-end data analysis projects, from initiation to completion
• Collaborate with cross-functional teams to gather requirements, define project scope, and deliver timely results
• Prioritize tasks and allocate resources effectively to meet project deadlines
• Create clear and compelling data visualizations, including dashboards and reports, to communicate insights to stakeholders
• Utilize data visualization tools like Datawind to generate interactive and informative reports
• Work closely with business leaders to understand their data needs and provide actionable recommendations
• Collaborate with product and engineering teams to identify opportunities for data-driven product improvements

Preferred Qualifications

• Technical experience (Python)
• Experience working with Sales & Sales Operations teams
• Demonstrated interest in working with AI tools to simplify processes & analysis

Benefits

• Competitive salary
• Fully remote