Data Mining Analyst
- Highpoints
- 1 to 3 Yrs
- Noida, Gurugram
- 11 months ago
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Job Description
1. Data Collection: Gather relevant data from various sources within the publishing house, such as sales records, customer demographics, website analytics, social media data, and market research reports. 2. Data Cleaning and Preprocessing: Ensure the data is accurate, complete, and formatted properly. This involves removing duplicates, handling missing values, standardizing formats, and addressing any inconsistencies. 3. Data Analysis: Apply data mining techniques and statistical methods to analyze the collected data. Explore patterns, trends, and relationships to uncover valuable insights about readership, book preferences, market demand, and sales performance. 4. Customer Segmentation: Use clustering algorithms or statistical methods to segment the customer base into distinct groups based on their preferences, reading habits, demographics, or other relevant factors. This segmentation can help tailor marketing campaigns, book recommendations, and promotional strategies. 5. Market Research: Conduct market research to identify emerging trends, evaluate competition, and understand readers' preferences. Analyze external data sources, such as industry reports, surveys, and online discussions, to gain a comprehensive understanding of the publishing landscape. 6. Predictive Analytics: Utilize machine learning algorithms to build predictive models for forecasting future sales, identifying potential bestselling books, or predicting customer behavior. These models can assist in decision-making processes related to marketing, inventory management, and resource allocation. 7. Data Visualization: Create clear and visually appealing reports, dashboards, and presentations to communicate findings and insights to stakeholders within the publishing house. Use data visualization tools to present complex information in an easily understandable format. 8. Recommender Systems: Develop recommendation algorithms to provide personalized book suggestions to customers based on their preferences, purchase history, and browsing behavior. This can enhance the user experience, increase customer engagement, and drive sales. 9. Performance Tracking: Monitor key performance indicators (KPIs) and metrics related to sales, marketing campaigns, and customer engagement. Identify areas for improvement and provide actionable recommendations to optimize performance and achieve business objectives. 10. Collaboration and Communication: Collaborate with cross-functional teams, such as marketing, editorial, and sales departments, to align data-driven strategies and ensure the implementation of insights. Effectively communicate complex analytical findings to non-technical stakeholders. Interested candidates can apply in below mentioned hidden_emailEmployement Category:
Employement Type: Full timeIndustry: Printing / Packaging
Role Category: DBA / Datawarehousing
Functional Area: Not Applicable
Role/Responsibilies: Data Mining Analyst
Contact Details:
Company: Happy SquareLocation(s): Noida, Gurugram
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Company ProfileHighPoints Technologies India (P) Ltd.HighPoints Technologies (I) Pvt Ltd a company incorporated in 2003. We at HighPoints are passionate about helping organizations and individuals realize their potential through talent acquisition. Finding the right talent, at the right time & c...
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