Candidates with less experience will be considered as Data Analytics Manager (BI/CRM).
ResponsibilitiesDevelop and prepare regular and ad-hoc management reports to facilitate the business decision making process.
Translate business challenges and opportunities into propositions for data analysis.
Analyze business data and trends to alert management to business environment and segmental customer behavioral changes relevant to business strategy.
Lead analytical projects to support portfolio analysis, customer performance tracking, churn analysis, and profitability analysis of various products, channels, and customer segmentation strategies.
Develop and refine occasion-based modeling to help business units better understand our customers and industry trends.
Participate in database development projects to enhance management information quality and productivity.
Job RequirementsUniversity degree in Statistics, Quantitative Analysis for Business, Master of Finance, or other related disciplines.
Minimum of 8 years of relevant working experience in business intelligence, customer analysis, customer segmentation, data segmentation, or related fields.
Solid experience in using analytics to drive business/marketing results, transforming data into actionable insights and recommendations.
Practical experience with any CRM package (Configuration, Customization).
Solid experience in event triggers, campaign process management, and application of CRM solutions in the context of customer life cycle management across multiple distribution channels.
Experience in real-time lead decisioning/large-scale CRM solution implementation is preferred.
Experience working with a wide range of data sets, including transactional, behavioral, web, and research data.
Experience in web analytics methodologies, such as experimentation, A/B testing, competitor and market analytics, online surveys, and customer research to optimize both online and offline digital campaigns.
Experience using different web and social media analytics tools (i.e., Google Analytics, Omniture, Hootsuite, Sprout Social, etc.).
Extensive experience in advanced analytics such as customer segmentation, predictive modeling, association analysis, and time series analysis.
Excellent knowledge of MS Excel for analysis and presentation of data and statistics.
Deep intellectual curiosity and superior analytical skills with data mining and data modeling experience.
Strong business sense, communication, and presentation skills.
Project management experience and attention to detail.
High proficiency in Microsoft Office applications is required.#J-18808-Ljbffr