Marketing Analytics Specialist (Remote)

rlink solutions • United State
Remote
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AI Summary

Analyze marketing data to drive business growth, optimize strategies, and improve user behavior. Collaborate with cross-functional teams to define marketing performance metrics and drive key decisions. Utilize technical skills to develop insights and visualizations.

Key Highlights
Analyze marketing data to drive business growth and optimize strategies
Collaborate with cross-functional teams to define marketing performance metrics
Develop insights and visualizations using technical skills
Technical Skills Required
Excel SQL R Python Tableau
Benefits & Perks
100% Remote Work
12-month contract duration

Job Description


Job Title: Marketing Analyst III

Location: 100% Remote

Duration: 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


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