Customer Success Analyst

RemoteMid-level
🇨🇴 Colombia
Technology

ABOUT PLACER.AI :

One of the fastest growing tech companies in North America, Placer has reached $100 million in ARR (a “Centaur”) in 2024 within 6 years of launching the Placer platform. We crossed the $1B valuation “Unicorn” in 2022.

Placer's A.I. based SaaS platform transforms how leaders make critical decisions by unlocking unparalleled visibility into markets and locations, creating a blue ocean market of more than $100B. And the best part is, Placer has accomplished this by leading a privacy-first business in which data has been stripped of user identifiers and only aggregated information is provided within the platform.

Our platform provides instant visibility into almost any location in the U.S. Placer has grown exponentially over the past 6 years, counting more than 4,000+ paying customers including many Fortune 500 companies, such as, JP Morgan Chase, Wayfair, Google and many more.

Named one of Forbes America’s Best Startup Employers and a Deloitte Technology Fast company, Placer.AI is proud of our collaborative, innovative and inclusive culture. Is this the type of place that would excite you? If so, we’d love to talk to you!

SUMMARY:

The Customer Success Analyst position at Placer.ai is a strategic role where you will have the chance to make a real impact on our efforts to ensure we surpass customers' expectations. You will support the Customer Success team with the creation of presentations, spreadsheets and other reports that proactively deliver insights from our data to our customers in a frictionless manner. The Customer Success Analyst will also assist with ad hoc projects as needed.

RESPONSIBILITIES:

  • Extract, manipulate and compile data from different sources for analyses
  • Design and create client-facing decks and spreadsheets leveraging Placer data
  • Interpret data, analyze results and produce compelling insights that illustrate the value of Placer data
  • Apply critical thinking to generated data and provide recommendations to Customers Success Managers on how to best present the data to customers
  • Assist with ad-hoc projects as needed
  • Work closely with Customer Success team to prioritize work and maximize support for customers

REQUIREMENTS:

  • Must reside in the Latam region
  • Passionate about data!
  • 1+ years of relevant working experience as a Data Analyst
  • Experience working with Google Apps (Sheets, Slides) and MS Office
  • Excellent communication skills with fluent English (written and oral)
  • Strong "story-teller" that can communicate insights and recommendations effectively
  • Quick learner, proactive/can-do attitude with high attention to details
  • A team player with strong analytical, problem solving and critical thinking skills, as well as business sense
  • Ability to manage multiple, competing priorities and deliver results under tight deadlines and pressure
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, Business or equivalent

ADVANTAGES:

  • Experience using Salesforce
  • Experience with BI Tools such as Tableau, Google Data Studio, PowerBI, etc.
  • Experience working at a startup
  • Experience working with GIS data
  • Understanding of American brands and mentality

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.
  • Excellent benefits.
  • Fully remote.

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER

Placer.ai is an equal opportunity employer and has a global remote workforce. 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.

 

Placer.ai

High-growth, big data pre-IPO tech company building the world's first 'Google Analytics for the physical world'

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