Marketing Science Analyst (Hiring for Aug/Sep Start Date)

{
  "content_hash": "19bd33d01e0990c931a2347bbbbb2c8d325ce43cbc238f45743e1a75b858374d",
  "source_hash": "77ad4642b4707c6fefde82c64b3d7dfbeb7cc69a40fbacca59dae2adae2487a6",
  "last_changed_at": "2026-05-29T06:57:56.819Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "New York, New York, United States",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": 82000,
  "salary_min": 74000,
  "inferred_at": "2026-06-06T20:09:07.952Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York, New York, United States",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "lists": [
    {
      "text": "What you’ll be doing: ",
      "content": "\n<li>Collect and analyze data related to consumer behavior, market trends, and campaign performance. Using proprietary tools and techniques to prep, mine and format customer data, analyze, produce models to develop insight dashboards and customer presentations.</li>\n<li>Develop and maintain statistical models that predict consumer behavior, campaign performance, and other key metrics.</li>\n<li>Collaborate as part of a team to drive analyses and insights, walking customers through dashboards and developing narratives that explain results and aid in more informed decisions and improved business performance.</li>\n"
    },
    {
      "text": "What we look for in you:",
      "content": "\n<li>Bachelor’s degree or above (ideal areas of study: Business Analytics and Management, Economics, Statistics, Mathematics, and/or Marketing)</li>\n<li>Recent graduates and those with 1-3 years of internship or professional work experience across any combination of advanced and predictive analytics, marketing analytics, and analytic techniques for marketing, customer, and business applications.</li>\n<li>Strong working knowledge of Microsoft PowerPoint and Excel</li>\n<li>You demonstrate analytical principles, strong problem-solving skills and attention to detail.</li>\n<li>Experience working independently on analytical tasks, building, and optimizing ‘big data’ data pipelines, architectures, and data sets.</li>\n<li>Comfortable working with a team developing and presenting presentations using insights derived from analytics.</li>\n<li>Experience using data to solve business questions and drive business solutions.</li>\n<li>You bring strong written and verbal communication appropriate for a professional work environment.</li>\n\n<div>&nbsp;</div>\n\n<li><strong>Our Leadership Values for Marketing Science Analysts and Company Culture:</strong></li>\n<li><strong>Results Driven</strong> Anticipates roadblocks and appropriately seeks assistance to plan around them.</li>\n<li><strong>Effective Communication</strong> Considers the audience and communicates appropriately.</li>\n<li><strong>Accountability &amp; Integrity</strong> Actively looks to offer ways to contribute during downtime.</li>\n<li><strong>Creative Collaboration</strong> Builds relationships with team and contributes regularly.</li>\n<li><strong>Harnessing Innovation</strong> Seeks opportunities to try out new approaches.</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1773259555785,
  "updatedAt": null,
  "categories": {
    "team": "Customer Engagement Team",
    "location": "New York, New York, United States",
    "commitment": "Regular Employee",
    "department": "Customer Engagement Team",
    "allLocations": [
      "New York, New York, United States"
    ]
  },
  "salaryRange": {
    "max": 82000,
    "min": 74000,
    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}