Advanced Analyst

New York
US$90000 - US$110000 per year + great benefits package + equity!

This vacancy has now expired. Please see similar roles below...

Advanced Analyst
Online Marketplace
Greater New York City Area
$90,000- $110,000 + great benefits package + equity!

Are you interested in joining a dynamic online marketplace based out of the heart of NYC? Are you technically skilled and qualified in SQL, R and Python? In this role, you will be part of a groundbreaking in generating and implementing advanced analytical insight on how to best influence and predict customer behavior in all aspects of the business. At this role, you will have the opportunity to work cross functionally within different areas of the business to understand how to best penetrate the market and understand customer performance, while using advanced and complex predictive and statistical modeling techniques in SQL, R, and Python.

THE COMPANY:

You will be working at an online marketplace that values collaboration and critical thinking on every level of the business. This company values self- starters and looking for someone who has experience wearing many hats within the business and not being scared to get their hands dirty!

THE ROLE:

The ideal candidate has a strong proven ability for thinking critically and implementing strategy to advance business trajectory. As an advanced analytics analyst, you will be leading your team in a proactive approach into tracking business trends and creating new features to improve customer experience. You will need to be data driven and have an absolute passion on wanting to make the business more data driven in every way. You will have proven technical expertise in SQL, R, Python to create advanced statistical models, as well as being able to generate insight from hard data. You will be:

  • Creating advanced statistical models to predict, and present information gained from multiple sources in a visualized form using SQL, Python/R to best gauge customer behavior and trends.
  • Hands on with building and implementing advanced models like decision trees, time series, multivariate, survival analysis, Bayesian, natural language processing, and more.
  • Hands on with customer life time modeling, A/B testing, market research, campaign performance analysis, marketing mix modeling, etc.
  • Have diverse experience in different aspects within marketing and analytics and experience working cross functionally with other teams.
  • A great communicator and be able to explain how your strategy and insights are directly linked to customer behavior.
  • Have a background in working in a start-up environment is a plus.

YOUR SKILLS AND EXPERIENCE:

  • Degree in numerical subject such as Statistics, Economics, Mathematics, etc.
  • Expert proficiency and in SQL, Python, R and in visualization tools like Power BI and Tableau.
  • Advanced marketing background-technical but can gather and generate insights with business perspective.
  • Ability to work with a team of skilled analysts to gather actionable and quantitative insights.
  • Proven ability in generating advanced marketing insight statistical modeling tools like/but no limited to: regression models, decision trees, polynomial regression, machine learning (supervised and unsupervised), Bayesian statistics, K-Means clustering, time series, survival analysis, etc.
  • Proven ability with building out customer life time models, A/B testing, campaign performance analysis, marketing mix modeling, etc.
  • Effectively communicating with stakeholders and partners-translating your insights in a way that captivates and leads to action.

THE BENEFITS:

  • $90,000- 110,000 Salary
  • Health/Vision/Dental life Insurance
  • PTO benefits
  • Equity
  • Flexible work environment- ability to work remotely
  • Amazing growth opportunity

HOW TO APPLY:

Please register your interest by sending your CV to Sasha Baez via the Apply link on this page.

KEYWORDS:

Online marketplace, advanced, marketing, SQL, R, Python, Tableau, PowerBI, customer behavior, advanced modeling, critical thinking, insights, time series, regression, multivariate, survival analysis, Bayesian, natural language processing, communication, business strategy, passionate, campaign analysis, A/B testing, customer life time model, marketing mix model, machine learning

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