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Senior Data Analyst at Lily AI

Senior Data Analyst

@

Lily AI

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Posted on: 
October 9, 2023
Status: 
Expired
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Summary of the Senior Data Analyst job at Lily AI

Lily AI is hiring a Senior Data Analyst with 3 - 5 years of experience. Based in United States - Remote and with Remote ways of working. The expected salary range for this role is $122,500 - $158,000
About Lily AI

Lily AI is the first platform that bridges the gap between brand-speak and customer-speak to drive exponential growth for companies large and small. Lily AI seamlessly injects customer-centric product attributes into site search engines, recommendation systems, SEO/SEM capabilities and item setup processes to drive exponential lifts in traffic, conversion, revenue and brand loyalty.

Senior Data Analyst job description

Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem. Interoperable with leading eCommerce platforms, Lily AI maximizes existing tech investments to deliver upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, and higher customer conversion. Learn more at www.lily.ai.

In this role, you will:

  • Utilize quantitative analysis techniques to analyze large data sets and generate meaningful insights to inform decision-making.
  • collaborate with various internal teams, including Product and Engineering, to implement standard experimentation methodologies and designs.
  • Continuously evaluate our experimentation platform to ensure that we measure the appropriate business metrics, apply statistical best practices, and achieve positive business outcomes.
  • Conduct a comprehensive analysis of metrics lift using causal-inference methods and innovative approaches, and communicate your findings to stakeholders and senior management.
  • Develop statistical models to gain insight into customer behavior and the factors that impact experimentation results.
  • Foster a spirit of curiosity and strive to identify emerging trends and insights to help us enhance the customer experience and grow the business.
Senior Data Analyst job requirements

What we consider critical for the role:

  • 4+ years of relevant work experience as a Data Scientist or Data Analyst.
  • Master's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
  • Strong understanding of statistical techniques, such as significance testing, power calculations, and causal inference. Advanced training in statistics is preferred.
  • Experience with Retail or other customer industries, especially e-commerce.
  • Experience with Web Analytics tools like Adobe/ Google Analytics.
  • Proven experience designing metrics and creating systems to generate actionable business insights.
  • Proficiency in SQL and at least one scripting language, such as Python or R.
  • Expert in data visualization tools like Tableau, Superset, or similar platforms.
  • Exceptional attention to detail and analytical skills, with the ability to detect and diagnose anomalies, errors, or issues.
  • Excellent communication and presentation abilities, capable of effectively conveying complex quantitative analyses to engineering or executive-level stakeholders in a clear and concise manner.

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

  • California
  • Florida
  • Georgia
  • Illinois
  • Massachusetts
  • Minnesota
  • Nevada
  • New Jersey
  • New York
  • North Carolina

-Rhode Island

  • Tennessee
  • Texas
  • Virginia
  • Washington
  • Utah
  • Arizona
What we offer at Lily AI

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $122,500 - $158,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Please mention “I found this job at DataAnalyst.com!” in your application, it will help us offer you more opportunities

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Lily AI

Lily AI

is hiring

Senior Data Analyst

Website:
Posted on: 
April 1, 2024

About Our Company

Lily AI is the first platform that bridges the gap between brand-speak and customer-speak to drive exponential growth for companies large and small. Lily AI seamlessly injects customer-centric product attributes into site search engines, recommendation systems, SEO/SEM capabilities and item setup processes to drive exponential lifts in traffic, conversion, revenue and brand loyalty.

Job Description & Responsibilities

Lily AI is a female-founded retail AI company empowering retailers and brands by bridging the gap between merchant-speak and customer-speak. Leveraging computer vision, natural language processing, machine learning, and vertical-specific large language models (LLMs), Lily AI enhances customer shopping experiences by injecting consumer-centric language throughout the retail technology ecosystem. Interoperable with leading eCommerce platforms, Lily AI maximizes existing tech investments to deliver upwards of 9-figure revenue lift through improved product attribution, enhanced discovery, and higher customer conversion. Learn more at www.lily.ai.

In this role, you will:

  • Utilize quantitative analysis techniques to analyze large data sets and generate meaningful insights to inform decision-making.
  • collaborate with various internal teams, including Product and Engineering, to implement standard experimentation methodologies and designs.
  • Continuously evaluate our experimentation platform to ensure that we measure the appropriate business metrics, apply statistical best practices, and achieve positive business outcomes.
  • Conduct a comprehensive analysis of metrics lift using causal-inference methods and innovative approaches, and communicate your findings to stakeholders and senior management.
  • Develop statistical models to gain insight into customer behavior and the factors that impact experimentation results.
  • Foster a spirit of curiosity and strive to identify emerging trends and insights to help us enhance the customer experience and grow the business.

Requirements

What we consider critical for the role:

  • 4+ years of relevant work experience as a Data Scientist or Data Analyst.
  • Master's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
  • Strong understanding of statistical techniques, such as significance testing, power calculations, and causal inference. Advanced training in statistics is preferred.
  • Experience with Retail or other customer industries, especially e-commerce.
  • Experience with Web Analytics tools like Adobe/ Google Analytics.
  • Proven experience designing metrics and creating systems to generate actionable business insights.
  • Proficiency in SQL and at least one scripting language, such as Python or R.
  • Expert in data visualization tools like Tableau, Superset, or similar platforms.
  • Exceptional attention to detail and analytical skills, with the ability to detect and diagnose anomalies, errors, or issues.
  • Excellent communication and presentation abilities, capable of effectively conveying complex quantitative analyses to engineering or executive-level stakeholders in a clear and concise manner.

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

  • California
  • Florida
  • Georgia
  • Illinois
  • Massachusetts
  • Minnesota
  • Nevada
  • New Jersey
  • New York
  • North Carolina

-Rhode Island

  • Tennessee
  • Texas
  • Virginia
  • Washington
  • Utah
  • Arizona

What we offer

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $122,500 - $158,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Apply now

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