Senior Data 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. This role requires strong collaboration with cross-functional teams and business leaders. Technical proficiency in SQL, spreadsheet management, and data visualization tools is essential, along with the ability to communicate complex data insights effectively. The ideal candidate thrives in fast-paced environments and is resilient when facing new challenges. Placer.ai offers a competitive salary and a fully remote work environment.

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