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 "pay rate". Key skills include Tableau, Python, SQL, R, and A/B testing. Experience in marketing analytics is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 31, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Visualization #R #Tableau #SQL (Structured Query Language) #Strategy #A/B Testing #Predictive Modeling #Python
Role description
Role: Marketing Analyst III NYC, NY- Remote 12+months Job Description: • 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. • You will help address the complex challenges of marketing effectiveness, ROI, optimization strategies, user behavior and channel effectiveness. • 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. • You'll play an important part in finding opportunity fields to help the marketing function scale as we develop acquisition, retention and brand love. • You will offer a deep marketing-driven data perspective while collaborating closely with Finance, Strategy, Operations and AdTech. • 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. • 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 • Be a key partner on the performance marketing team. • Collaborate during project planning/prioritization meetings, stakeholder meetings, data prioritization meetings, etc • Choose the proper metrics for tracking current and future experiments and marketing initiatives • Develop dashboards that provide insights and visualization into users and channel performance relative to KPIs, projections, and historical performance • Implement and analyze statistical tests like A/B tests or multivariate tests to provide understanding of marketing impact in business metrics. • Present findings to senior management to drive business and marketing decisions • Use tools such as Excel, SQL, R, Python and Tableau to work efficiently at scale