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Colgate-Palmolive

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Manager Advanced Analytics

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Description

Job Summary

  • Participate in advanced analytics projects like Pricing & MMM, and fundamental Business Intelligence analytics (reporting and simplification)

  • Support the analysis and implement new processes to improve our company’s performance and profitability based on Syndicated data and connecting the dots with people centricity knowledge

  • Collaborate in the implementation of the right visualization of reports, analysis and dashboards to drive business decisions

Principal Duties and Responsibilities

  • Support the Implementation of Analytics Plan, participating in ETL process, building the data Lake and automation / visualization using global IT tools like bigquery and DOMO.

  • Deploy / Create models to be used in Consumption Model, Marketing and Media/Digital Effectiveness, PnP, incorporate into the model best practices from Global Analytics and GIT

  • Create new visualization and analytics according to Colgate needs to support the decision making process and strategic scenarios to growth

  • Participate in the Implementation of Advanced Analytics tools to support price strategy and other pricing analysis which include new functionalities like calculation of return over the investment, analysis of effectiveness for temporary price reduction, promo – packs and any other prize activity implemented.

  • Expand the usage of Advanced Analytics tools across the region, working close to local business to solve main business questions

  • Participate in the advanced analytics marketing mix modeling for core categories, supporting with all data extractions and validations, to identify opportunities to optimize marketing investment

  • Responsible for Quality requirements, new segmentations and enhancements

Requirements

  • Bachelor Degree

  • Intermediate SQL, Python, experience with visualization tools like power BI, locker, tableau. DOMO, etc

  • Excel advanced

  • Creative & curious mindset

  • Analytical skills, sense for details & accuracy

  • Organized & Efficient & Reliable

  • Teamwork approach

  • Planning/Priority Settings

  • English High Intermediate/advanced

  • Previous experience in insights/marketing/ business intelligence positions (+2 years)

  • Evident Data Science experience

Skills

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See also