Senior Retail Analytics Lead
hace 1 mes
Tiger Analytics is a pioneering firm that harnesses AI and analytics to address complex organizational challenges globally. With offices in the US, UK, India, and Singapore, and a substantial remote workforce, we develop bespoke solutions powered by data and technology for Fortune 100 companies. Our expertise in AI and analytics consulting has earned us market leadership in the CPG & retail industry, with over 40% of our revenue coming from this sector.
We are seeking an experienced Senior Retail Analytics Lead with a strong background in the Retail CPG and Manufacturing industry. As part of our cross-functional teams, you will analyze, model, and drive data-driven insights to enhance decision-making and create strategic advantages.
Key Responsibilities- Work on cutting-edge applications of data science to solve business problems in the Retail, CPG, and Manufacturing space.
- Design and implement advanced predictive models to analyze trends and behaviors in the Retail CPG and Manufacturing sectors.
- Collaborate with stakeholders across data engineering, product, and business teams to understand objectives and provide data-driven solutions.
- Develop data models and pipelines to support analytical and machine-learning initiatives.
- Leverage domain knowledge in Retail CPG and Manufacturing to produce insights and identify growth opportunities.
- Prepare and present insights, recommendations, and data findings to technical and non-technical audiences.
9-10+ years of strong hands-on work experience in Manufacturing, preferably with experience in leading domain conversations on a solution consulting angle. Proficiency in Spanish Language, Python (pipeline creation, pytest, data manipulation with Pandas), R, SQL, and strong understanding of machine learning, predictive analytics, and statistical modeling.
In-depth knowledge of the Retail CPG industry, especially Smart Manufacturing Experience. Familiarity with industry-specific Data Systems - Manufacturing Control Tower, Manufacturing Systems around Global Shop Floor Tools, MES, historian, SAP etc. Excellent communication skills with the ability to present data insights to a variety of audiences. Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud) and CI/CD Practices is a plus.
The estimated salary for this position is $140,000 - $170,000 per annum, depending on experience and qualifications.
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