Analytics Specialist
2 weeks ago
Position: Analytics Specialist
Job Location: Remote
Responsibilities: You will leverage your expertise to enhance the execution and refinement of strategic initiatives by offering expert guidance and support to colleagues in the application of data-driven insights and best practices. Your role will involve fostering relationships with key stakeholders to identify business requirements, implement effective solutions, and monitor progress to seize improvement opportunities. You will embody the company's mission and values by integrating them into business strategies and demonstrating ethical practices.
As a leader in data analytics projects, you will collaborate with teams to define project objectives, develop contingency plans, and direct data analysis efforts. Your responsibilities will include gathering and analyzing data, ensuring its alignment with project goals, and communicating findings to stakeholders. You will also present analytical insights and recommendations, translating complex data into actionable business strategies.
Continuous Improvement: You will contribute to the ongoing enhancement of data science practices by creating reusable solutions and maintaining a library of algorithms for future initiatives. Your role will involve documenting code and mentoring analysts across various teams.
Analytical Model Development: You will develop robust analytical models by sourcing data from diverse internal and external channels, synthesizing it into comprehensive datasets, and employing statistical techniques to derive insights. This includes utilizing the analytics project lifecycle to drive predictive modeling and presenting your findings to key stakeholders.
Minimum education and experience required: A Master's degree or equivalent in Statistics, Analytics, or a related discipline, along with 1 year of experience in data science or a similar field; OR a Bachelor's degree or equivalent in Statistics, Analytics, or a related discipline, coupled with 2 years of experience in data science or a related field.
Required Skills: Proficiency in Programming Languages (Python, R), Query Languages (SQL), and Data Science Techniques (Natural Language Processing, Supervised and Unsupervised Learning, Anomaly Detection, Time Series Forecasting). Familiarity with Visualization Tools (Tableau, Microsoft Power BI), Cloud Technologies (Google BigQuery, AWS), and ETL Tools (Alteryx) is essential. Experience with various Databases and Methodologies (Agile) is also required. The employer welcomes any level of experience with the specified skills.
#LI-DNP #LI-DNI
Walmart is an Equal Opportunity Employer.
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