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Data Mining Analyst

1.00 to 3.00 Years   Noida   15 Jun, 2023
HAPPY SQUARE OUTSOURCING SERVICES PRIVATE LIMITED
Job LocationNoida
EducationNot Mentioned
SalaryRs 1.0 - 3.5 Lakh/Yr
IndustryPrinting / Packaging
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    1. Data Collection: Gather relevant data from various sources within the publishinghouse, such as sales records, customer demographics, website analytics, social mediadata, and market research reports.2. Data Cleaning and Preprocessing: Ensure the data is accurate, complete, andformatted 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 thecollected data. Explore patterns, trends, and relationships to uncover valuable insightsabout readership, book preferences, market demand, and sales performance.4. Customer Segmentation: Use clustering algorithms or statistical methods tosegment the customer base into distinct groups based on their preferences, readinghabits, demographics, or other relevant factors. This segmentation can help tailormarketing campaigns, book recommendations, and promotional strategies.5. Market Research: Conduct market research to identify emerging trends, evaluatecompetition, and understand readers preferences. Analyze external data sources, suchas industry reports, surveys, and online discussions, to gain a comprehensiveunderstanding of the publishing landscape.6. Predictive Analytics: Utilize machine learning algorithms to build predictive modelsfor forecasting future sales, identifying potential bestselling books, or predictingcustomer behavior. These models can assist in decision-making processes related tomarketing, inventory management, and resource allocation.7. Data Visualization: Create clear and visually appealing reports, dashboards, andpresentations to communicate findings and insights to stakeholders within thepublishing house. Use data visualization tools to present complex information in aneasily understandable format.8. Recommender Systems: Develop recommendation algorithms to providepersonalized book suggestions to customers based on their preferences, purchasehistory, and browsing behavior. This can enhance the user experience, increase customerengagement, and drive sales.9. Performance Tracking: Monitor key performance indicators (KPIs) and metricsrelated to sales, marketing campaigns, and customer engagement. Identify areas forimprovement and provide actionable recommendations to optimize performance andachieve business objectives.10. Collaboration and Communication: Collaborate with cross-functional teams, such asmarketing, editorial, and sales departments, to align data-driven strategies and ensurethe implementation of insights. Effectively communicate complex analytical findings tonon-technical stakeholders.Interested candidates can apply in below mentionedhidden_email

Keyskills :
sql

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