RLink Solutions

Marketing Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Analyst III, remote in NYC, with a contract length of 12+ months and a pay rate of "unknown." Key skills required include SQL, A/B Testing, Python, R, and Tableau, with a focus on marketing analytics and predictive modeling.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 27, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Predictive Modeling #Tableau #Python #SQL (Structured Query Language) #Visualization #A/B Testing #R #Strategy
Role description
Role: Marketing Analyst III NYC, NY- Remote 12+months Job Description: β€’ You possess a passion for improving techniques, processes, tracking, analytics insights, predictive modeling and technology used by marketing to achieve our bold supply and demand growth goals. β€’ You will help address the complex challenges of marketing effectiveness, ROI, optimization strategies, user behavior and channel effectiveness. β€’ As a member of the marketing analytics team, you will also help define the way marketing performance is calibrated and help define what questions should be asked. β€’ You'll play an important part in finding opportunity fields to help the marketing function scale as we develop acquisition, retention and brand love. β€’ You will offer a deep marketing-driven data perspective while collaborating closely with Finance, Strategy, Operations and AdTech. β€’ You will be on the forefront of analysis, leveraging our data sources to propose new ideas and drive key strategic decisions through both offline and online efforts. β€’ What you'll do - Mine data and analytics at user level to gain a better understanding of their usage behaviors, including impacts of current marketing strategies β€’ Be a key partner on the performance marketing team. β€’ Collaborate during project planning/prioritization meetings, stakeholder meetings, data prioritization meetings, etc β€’ Choose the proper metrics for tracking current and future experiments and marketing initiatives β€’ Develop dashboards that provide insights and visualization into users and channel performance relative to KPIs, projections, and historical performance β€’ Implement and analyze statistical tests like A/B tests or multivariate tests to provide understanding of marketing impact in business metrics. β€’ Present findings to senior management to drive business and marketing decisions β€’ Use tools such as Excel, SQL, R, Python and Tableau to work efficiently at scale