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Data Intelligence Analyst

0 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Billeasy, a dynamic FinTech company specializing in expanding consumer focused operations through seamless offline-to-online SaaS solutions. Our products enhance engagement, foster loyalty, and enable convenient digital transactions, driving business growth. We've formed strategic partnerships with top retail and government mass transit organizations in India. We are seeking a talented and motivated Data Intelligence Analyst to join our dynamic team. As a Data Intelligence Analyst, you will be responsible for analyzing large datasets, extracting valuable insights, and providing actionable recommendations to drive business decisions. The ideal candidate will have a strong background in data analysis, statistical modeling, and business intelligence tools. Responsibilities : Perform data mining, cleansing, and preprocessing to extract meaningful insights from large datasets. Develop and implement advanced analytics techniques to uncover patterns, trends, and correlations in data. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Design and build interactive dashboards and reports to visualize key metrics and performance indicators. Conduct statistical analysis and predictive modeling to forecast business outcomes and identify opportunities for improvement. Stay updated on industry trends, emerging technologies, and best practices in data analysis and business intelligence. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field. Master's degree preferred. Proven experience as a Data Analyst, Business Analyst, or similar role. Proficiency in programming languages for data analysis and manipulation. Hands-on experience with data visualization tools such as Tableau, Power BI. Strong analytical skills with the ability to interpret complex datasets and communicate insights effectively. Excellent problem-solving skills and attention to detail. Experience working with large-scale datasets Familiarity with machine learning algorithms and techniques is desirable. Strong communication and interpersonal skills. Show more Show less

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