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Marketing Data Analytics Manager
ReleadyUnited Statesfull_timeVerifiedPosted 24 Feb 2025
💰 $85,000/yr
About the role
OVERVIEW
We are looking for a data-driven professional with expertise in Python, R, SQL, and data visualization to support brand strategy through actionable insights.
In this role, you’ll analyze and interpret data from multiple sources—both internal and external—to inform marketing, branding, and competitive positioning. Your work will directly impact strategic decision-making by uncovering trends, evaluating research, and delivering clear, data-backed recommendations.
This role is marketing data focused and is requiring someone with a marketing data background to qualify. You will not have any direct reports in this role - it is an individual contributor position with room for growth!
RESPONSIBILITIES
- Utilize Python, R, and SQL to analyze large datasets and extract meaningful insights.
- Synthesize data from multiple sources to inform brand positioning, competitive analysis, and market research.
- Develop reports, dashboards, and visualizations that communicate complex findings in a compelling and accessible way.
- Partner with cross-functional teams, including data science, marketing, web strategy, and business intelligence, to align data insights with strategic objectives.
- Support research initiatives by defining data requirements and collaborating with internal teams or external vendors.
- Monitor market trends and emerging technologies in data analysis to ensure best practices.
- Provide expert feedback on insights generated by research vendors and ensure alignment with brand goals.
- Present key findings to stakeholders, helping to translate data into actionable business strategies.
- 5+ years of experience in market research, data analysis, or brand strategy insights with a strong analytical mindset.
- Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI, or similar).
- Understanding of data collection, modeling, and mining methodologies.
- Strong ability to interpret quantitative and qualitative research and apply findings to real-world brand decisions.
- Excellent time management, organization, and communication skills—able to translate complex data into actionable insights.
- Background in marketing, business analytics, data science, or a related field (Bachelor’s required, Master’s preferred).
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