Marketing Data Analyst

About Us

Stenson Tamaddon is a technology-enabled financial services firm that helps companies identify, comply with, and maximize incentives from tax credit and economic relief programs.

Our core values are to care personally, challenge directly, have commitment, be bold, and fix over fault. That is what drives our everyday culture. It’s our passion to provide high touch services, optimal client results, and cutting-edge technology.

Position Overview

The Marketing Data Analyst plays a critical role in supporting marketing initiatives and driving data-driven decision-making within the organization. The primary responsibility of the Marketing Data Analyst is to analyze marketing data, uncover actionable insights, and provide recommendations to optimize marketing strategies, campaigns, and customer engagement. This role requires a strong analytical mindset, proficiency in data analysis tools, and the ability to translate complex data into actionable recommendations.

Key Responsibilities:

1. Data Analysis: Collect, clean, and analyze marketing data from various sources, including digital marketing platforms, CRM systems, social media platforms, and market research. Identify trends, patterns, and correlations to provide insights that drive marketing performance improvement.
2. Marketing Performance Tracking: Develop and maintain regular reports and dashboards to track key marketing metrics, such as campaign effectiveness, customer acquisition, conversion rates, website traffic, and engagement metrics. Provide accurate and timely marketing performance updates to management and marketing stakeholders.
3. Customer Segmentation and Profiling: Analyze customer data to segment the target audience based on demographics, behavior, preferences, and other relevant variables. Develop customer profiles and personas to guide marketing strategies, messaging, and personalized campaigns.
4. Campaign Analysis: Evaluate the performance of marketing campaigns across different channels (e.g., email, social media, paid advertising) to assess their effectiveness and return on investment (ROI). Identify opportunities for optimization and make data-driven recommendations to enhance campaign performance.
5. Market Research and Competitive Analysis: Conduct market research and competitor analysis to identify market trends, customer insights, and competitive positioning. Provide insights and recommendations to inform marketing strategies, messaging, and product differentiation.
6. A/B Testing and Experimentation: Design and analyze A/B tests and experiments to measure the impact of marketing initiatives, such as landing page variations, email subject lines, or call-to-action buttons. Use statistical methods to validate results and make data-driven recommendations for optimization.
7. Data Visualization and Reporting: Create visually compelling dashboards, charts, and reports to communicate marketing insights and performance to stakeholders. Present findings in a clear and concise manner, enabling non-technical teams to understand and act upon the insights.
8. Collaborative Insights: Collaborate with marketing teams, including digital marketing, content marketing, and product marketing, to understand their objectives and provide data-driven insights to support their strategies. Work closely with cross-functional teams to align marketing efforts with broader business objectives.

Qualifications:

• Bachelor’s degree in Marketing, Statistics, Economics, or a related field. A Master’s degree is a plus.
• Proven experience as a Data Analyst, Marketing Analyst, or in a similar analytical role.
• Proficient in data analysis tools and techniques, such as Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Familiarity with digital marketing platforms and tools (e.g., Google Analytics, Adobe Analytics, social media analytics).
• Knowledge of statistical analysis methods and A/B testing principles.
• Excellent communication skills, both written and verbal, with the ability to present findings to diverse stakeholders.
• Detail-oriented with a strong focus on accuracy and data integrity.
• Ability to work independently, manage multiple priorities, and meet deadlines in a fast-paced environment.

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