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Analytics Manager

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Our client a large Consumer Products company is seeking an Analytics Manager to run the day-to-day management of Customer Analytics for their E-commerce Group. The candidate must be comfortable working with IT, be able to translate the needs of the business, and have strategy and measurement experience. This is a 6 month contract.

The Analytics Manager will:
•Develop the Analytics of the Data-Warehouse to provide deep understanding of customer behaviors and usage.
•Drive Customer insight and analysis to assist and create customer Acquisition, Retention and Loyalty activities.
•Incorporate new Processes, Tools (OBIE) and Systems, for example, Campaign Management (x-sell, upsell), Segmentation, and Usage Profiling.

Main Tasks & Responsibilities
Customer Analytics:
Develop segmentation based on spend, usage and other behavioral patterns to drive up customer value, as well as increase acquisition rates. Our client is looking to recognize and predict their customer needs, attitudes, and behaviors and to find the best targets for acquisition, usage & value increase, churn fighting, and risk management.
• Develop clustering and segmentation models for the company's base, to assist in developing understanding of trends and customer groups.
• Support development of targeted campaigns.
• Assist in implementing targeted solutions based on general data mining.
• To develop understanding of existing users and usage patterns, to ensure acquisition tools are attractive and well positioned. Support acquisition campaigns by “cloning” best customers profiles
• Ensure that customer with relevant risk profiles are identified and tracked.
• Create efficiency measurements for Customer Life Cycle activities.
• Provide Data-Warehouse insight, ad hoc data-sets and reports (KPIs) to support and develop the Customer Lifetime Value of customers through application of modeling techniques and predictive analysis.
• These can include; Cross- and Up-selling, Next Best Offer (NBO) models, Targeted (segment-based) offerings, Loyalty-program promotions, Churn prediction analysis, profitability analysis as well as other techniques.
• Generate findings from Data-Warehouse analysis into actionable insights for the business. Lead all projects on data mining, pattern recognition algorithm used for marketing, customer Care and Sales activities

Data warehouse management:
• Sustain and develop existing analysis, implement new Tools, existing tools (OBIE) and modeling techniques
• Drive adoption of a Campaign management solution to roll out efficient analysis, selection and contact management for campaigns. Should include; capture of customer contact statistics, campaigns trend analysis, contact strategy for segments, review and integrate feedback and campaign performance to further optimize segmentations and predictive models.
• To include geographic analysis and models for campaign selection, usage and predictive analysis
• Liaise with IT to provide business requirements, and ensure they are delivered on time
• Support strategic planning and business development Management
• Support in marketing planning and tactical execution in the areas of Loyalty, Retention, Revenue increase and Acquisition

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