Opening for Marketing Genome Analyst encompasses the analysis and interpretation of marketing data to derive insights and optimize marketing strategies.
The responsibilities of a Marketing Genome Analyst typically include:
Data Analysis: Collecting and analyzing marketing data from various sources, such as customer databases, website analytics, social media metrics, and campaign results. Applying statistical techniques and data mining methods to identify patterns, trends, and correlations within the data.
Customer Segmentation: Utilizing data analysis to segment customers into distinct groups based on demographic, behavioral, and psychographic characteristics. Developing customer personas and profiles to better understand target audiences and tailor marketing efforts accordingly.
Performance Measurement: Defining and tracking key performance indicators (KPIs) to assess the effectiveness of marketing campaigns and initiatives. Evaluating marketing metrics, such as conversion rates, customer acquisition costs, customer lifetime value, and return on investment (ROI).
Predictive Modeling: customer behavior, campaign outcomes, and market trends learning. Leveraging predictive analytics to optimize marketing strategies and make data-driven decisions.
Marketing Optimization: Collaborating with cross-functional teams, including marketing managers, digital marketers, and product managers, to optimize marketing efforts. Providing insights and recommendations for improving targeting, messaging, channel selection, and campaign optimization.
Data Visualization and Reporting: Creating visually appealing and informative dashboards, reports, and presentations to communicate insights and recommendations to stakeholders. Presenting findings to management and other relevant teams, effectively conveying complex data in a simplified manner.
Continuous Learning and Industry Research: Keeping abreast of industry trends, emerging technologies, and best practices in marketing analytics. Staying updated on new data analysis techniques, tools, and platforms to enhance analytical capabilities and drive innovation.
Salary: 3 Lakh to 5 Lakh
* Depending upon the exprences
Location: Bhubaneswar