Collects and analyzes data related to store operations, including sales figures, shrinkage, labor hours, ordering, and process compliances
Prepares regular reports and dashboards that summarize the operational performance of the stores Collaborate with teams to optimize processes based on data insights and predictive analytics.
Conduct root cause analysis for operational challenges and provide recommendation to optimize store operation
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Abbott is seeking an experienced Enterprise Architect – Data & Analytics to shape enterprise data platforms, governance, and analytics capabilities. You will lead architecture across data integration, platforms, and AI-enabled initiatives, ensuring scalable, secure, and well-governed data landscapes.
This senior role demands strong stakeholder management and cloud expertise. As part of the Data & Analytics CoE, you will drive alignment with business goals, promote platform reuse, and establish
You will transform requirements into concise data requirements, identify trends, spot anomalies, build insights through dashboards and presentations to create comprehensive views for decision-making.
You will develop data pipelines and custom data science models to solve identified problems.
You will create data-driven hypotheses and collaborate with product and engineering teams to design experiments that inform important product decisions.
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Innovate: Uncover compelling business opportunities through rigorous data analysis, identifying and addressing critical customer pain points with novel solutions that grow beyond industry standards.
Illuminate: Translate complex data into clear, data-driven recommendations that empower strategic decision-making across leadership and teams.
Influence: Partner with teams to establish meaningful metrics, design rigorous experiments, and shape the strategic direction of marketing and growth programs.
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This role is responsible to assist with reviewing medical insurance cases. This support is critical to the success of our current projects, which involves leveraging methods and cleaning data from the big data platform.-provides analysis, reports and insights required for data management
-organizes data, analyzes and provides insights required-makes precise reviews with additional expertise support essential to meet deadlines without compromising quality-supports the overall objectives of the medical projects and addresses the issues of case review with divisional leaders which can foster personal growth
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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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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Build and maintain analytical models that generate proactive signals across the People North Star, including flight risk, skill growth, disengagement indicators, and People Team cost-to-serve, enabling the People function to act before issues escalate.
Transform complex, multi-source people datasets into clear, decision-ready narratives for People Operations leaders and senior stakeholders.
Design and measure the impact of data- and science-backed behavioural interventions that shape Grabber behaviours at scale (e.g. embedding meeting-hygiene practices and nudge design grounded in behavioural research).
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Collaborate with product managers to define hypotheses and design experiments aimed at improving the consumer experience.
Run A/B testing frameworks, quasi-experiments and statistical methodologies to measure the impact of product changes on main metrics such as user engagement, retention, and conversion rates.
Analyze experiment results to draw actionable insights and make data-driven recommendations for product iterations and enhancements.
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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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