Analyse, track and optimize on an ongoing basis effective benchmarks for measuring the campaigns performance including keyword/placement bids, account daily/monthly budget caps, impression share, quality score, CTR, conversion rate and other important metrics and proactively make strategic recommendations to meet campaign goals and improve performance.
Communicate with internal stake holders on project development, timelines, and results. Work closely with the other team members to meet goals.
Monitor and administer analytics dashboards and key reporting MIS tools and regularly make recommendations for improving the data available.
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You are responsible to drive performance across a large, diverse sales force driving multiple products. Ensure consistency in performance standards while adapting to local realities.
You must be able to translate data into actionable strategies that influence real field behavior (i.e. KPI, Commission). Develop deep visibility into performance drivers across individuals, regions, and channels and turn insights into clear executable actions for the field.
You are to design and implement innovative sales ways of working (WoW) for the sales force on how they operate day-to-day. Ensuring routines, tools and reporting frameworks are actively practiced.
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Support key planning cycles, including development of annual budgets, quarterly business updates, and monthly sales performance.
Support month-end closing and reporting activities, including sales and marketing expenditure report analyses along with business insights, preparation of portfolio financials.
Support in market research project, analysing various brand health metrics and transforming key insights in to actionable strategies to close the performance gap.
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Design, develop, and enhance scalable data science solutions and products that support Revenue Growth Management (RGM), translating complex business challenges—including pricing, promotions, trade spend, and customer profitability—into data-driven insights that enable commercial decision-making.
Develop high-quality, reusable, and production-ready data science models, Python code, and libraries by leveraging the latest technologies and best practices to deliver scalable, user-centric solutions.
Drive innovation by staying current with advancements in Data Science, Artificial Intelligence, and Large Language Models (LLMs), promoting awareness of emerging technologies and identifying opportunities to apply them across the business.
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Plan and propose NADI system development and enhancement initiatives, including new features and improvements, based on user needs and operational requirements.
Administer the NADI system by monitoring functionality, reliability, data integrity, and user accessibility, including managing notifications, user access, and routine system tasks to ensure smooth and timely operations.
Monitor system performance, detect errors or discrepancies, and escalate technical issues to the technology partners for resolution.
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