Senior Data Analyst

ABOUT PLACER.AI: 

Placer.ai is a high-growth, big data pre-IPO tech company led by seasoned executives and repeat entrepreneurs who are building the world's first "Google Analytics for the physical world." Placer.ai’s platform provides instant visibility into any property in the U.S., presenting accurate details about visitation patterns and demographic breakdowns of visitors. Placer.ai’s customers can see where visitors have been before, where they go afterwards, where they typically go for sports, entertainment, groceries, etc., and what their interests are. Placer.ai's A.I.-based SaaS platform replaces archaic solutions such as manual surveys, installed cameras, and other people-counting systems, creating a blue ocean market of more than $100B.

Placer.ai has grown 2x year-over-year for the past 2 years, counting more than 4,500+ paying customers across a range of industries, including some of the world’s biggest retailers, restaurants, real estate companies, and investors.

SUMMARY: 

The Senior Data Analyst will be responsible for conducting high impact analyses across the customer lifecycle. This role includes (but isn’t limited to) applying modeling techniques, monitoring company KPIs, and providing insights to business stakeholders. Collaboration with cross-functional teams and business leaders will prove critical to success to any prospective candidates. Technically, the role requires strong proficiency in SQL and spreadsheet management, experience with data visualization tools, and the ability to communicate complex data insights to both technical and non-technical audiences. The candidate must thrive in fast paced environments and prove resilient in the face of novel challenges.

RESPONSIBILITIES:

• Data Analysis and Insights:
• 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
• Project & Stakeholder Management:
• 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
• Data Visualization and Reporting:
• 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
• Strategic Partnerships:
• 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

Requirements:

• Technical Skills:
• Strong proficiency in spreadsheet management
• Strong proficiency in SQL, both querying as well as data structure
• Proficiency in Python a plus
• 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
• Soft Skills:
• 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
• Experience:
• 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

ADVANTAGES:

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

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating

• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary

Fully remote

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai in a nutshell

• Placer.ai's recent $100M round C funding (unicorn valuation!)
• Placer.ai's data
• Placer.ai in the news
• COVID-19 Economic Recovery Dashboard

Placer.ai is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.

Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.